id	chat_gpt_response	question	badsmell_base	bad_smell_gpt	found_any	valid_bad_smell	bad_smell_in_base	bad_smell_not_in_the_base	bad_smell_not_found	index	index_base	url_github	nr_question	id_source_code	id_base
2100	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Data class 4. Inconsistent indentation 5. Duplicate code 6. Inconsistent naming convention	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public SystemDiagnosticsDTO createSystemDiagnosticsDto(final SystemDiagnostics sysDiagnostics) { final SystemDiagnosticsDTO dto = new SystemDiagnosticsDTO(); final SystemDiagnosticsSnapshotDTO snapshot = new SystemDiagnosticsSnapshotDTO(); dto.setAggregateSnapshot(snapshot); snapshot.setStatsLastRefreshed(new Date(sysDiagnostics.getCreationTimestamp())); // processors snapshot.setAvailableProcessors(sysDiagnostics.getAvailableProcessors()); snapshot.setProcessorLoadAverage(sysDiagnostics.getProcessorLoadAverage()); // threads snapshot.setDaemonThreads(sysDiagnostics.getDaemonThreads()); snapshot.setTotalThreads(sysDiagnostics.getTotalThreads()); // heap snapshot.setMaxHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxHeap())); snapshot.setMaxHeapBytes(sysDiagnostics.getMaxHeap()); snapshot.setTotalHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalHeap())); snapshot.setTotalHeapBytes(sysDiagnostics.getTotalHeap()); snapshot.setUsedHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedHeap())); snapshot.setUsedHeapBytes(sysDiagnostics.getUsedHeap()); snapshot.setFreeHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeHeap())); snapshot.setFreeHeapBytes(sysDiagnostics.getFreeHeap()); if (sysDiagnostics.getHeapUtilization() != -1) { snapshot.setHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getHeapUtilization())); } // non heap snapshot.setMaxNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxNonHeap())); snapshot.setMaxNonHeapBytes(sysDiagnostics.getMaxNonHeap()); snapshot.setTotalNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalNonHeap())); snapshot.setTotalNonHeapBytes(sysDiagnostics.getTotalNonHeap()); snapshot.setUsedNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedNonHeap())); snapshot.setUsedNonHeapBytes(sysDiagnostics.getUsedNonHeap()); snapshot.setFreeNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeNonHeap())); snapshot.setFreeNonHeapBytes(sysDiagnostics.getFreeNonHeap()); if (sysDiagnostics.getNonHeapUtilization() != -1) { snapshot.setNonHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getNonHeapUtilization())); } // flow file disk usage final SystemDiagnosticsSnapshotDTO.StorageUsageDTO flowFileRepositoryStorageUsageDto = createStorageUsageDTO(null, sysDiagnostics.getFlowFileRepositoryStorageUsage()); snapshot.setFlowFileRepositoryStorageUsage(flowFileRepositoryStorageUsageDto); // content disk usage final Set contentRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setContentRepositoryStorageUsage(contentRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getContentRepositoryStorageUsage().entrySet()) { contentRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // provenance disk usage final Set provenanceRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setProvenanceRepositoryStorageUsage(provenanceRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getProvenanceRepositoryStorageUsage().entrySet()) { provenanceRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // garbage collection final Set garbageCollectionDtos = new LinkedHashSet<>(); snapshot.setGarbageCollection(garbageCollectionDtos); for (final Map.Entry entry : sysDiagnostics.getGarbageCollection().entrySet()) { garbageCollectionDtos.add(createGarbageCollectionDTO(entry.getKey(), entry.getValue())); } // version info final SystemDiagnosticsSnapshotDTO.VersionInfoDTO versionInfoDto = createVersionInfoDTO(); snapshot.setVersionInfo(versionInfoDto); // uptime snapshot.setUptime(FormatUtils.formatHoursMinutesSeconds(sysDiagnostics.getUptime(), TimeUnit.MILLISECONDS)); return dto; }	long method	Long method2 Feature envy3 Data class4 Inconsistent indentation5 Duplicate code6 Inconsistent naming convention	t	f	t			0	13158	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-web/nifi-web-api/src/main/java/org/apache/nifi/web/api/dto/DtoFactory.java/#L3110-L3185	2	2100	13158
2217	YES I found bad smells the bad smells are: 1. Duplicate code 2. Long method 3. Feature envy 4. Switch statement 5. Magic numbers 6. Improper exception handling	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Sampler deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException { JsonNode node = jp.getCodec().readTree(jp); String type = node.get("type").asText(); switch (type) { case "uniform": { double lowerBound = node.get("lower").asDouble(); double upperBound = node.get("upper").asDouble(); checkArgument( lowerBound >= 0, "The lower bound of uniform distribution should be a non-negative number, " + "but found %s.", lowerBound); return fromRealDistribution(new UniformRealDistribution(lowerBound, upperBound)); } case "exp": { double mean = node.get("mean").asDouble(); return fromRealDistribution(new ExponentialDistribution(mean)); } case "normal": { double mean = node.get("mean").asDouble(); double stddev = node.get("stddev").asDouble(); checkArgument( mean >= 0, "The mean of normal distribution should be a non-negative number, but found %s.", mean); return fromRealDistribution(new NormalDistribution(mean, stddev)); } case "const": { double constant = node.get("const").asDouble(); checkArgument( constant >= 0, "The value of constant distribution should be a non-negative number, but found %s.", constant); return fromRealDistribution(new ConstantRealDistribution(constant)); } case "zipf": { double param = node.get("param").asDouble(); final double multiplier = node.has("multiplier") ? node.get("multiplier").asDouble() : 1.0; checkArgument( param > 1, "The parameter of the Zipf distribution should be > 1, but found %s.", param); checkArgument( multiplier >= 0, "The multiplier of the Zipf distribution should be >= 0, but found %s.", multiplier); final ZipfDistribution dist = new ZipfDistribution(100, param); return scaledSampler(fromIntegerDistribution(dist), multiplier); } default: { throw new IllegalArgumentException("Unknown distribution type: " + type); } } }	long method	Duplicate code2 Long method 3 Feature envy4 Switch statement 5 Magic numbers 6 Improper exception handling	t	f	t			0	13539	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic/SyntheticOptions.java/#L228-L289	2	2217	13539
2127	{ "message": "YES I found bad smells", "the bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private TtmlRegion parseRegionAttributes( XmlPullParser xmlParser, CellResolution cellResolution, TtsExtent ttsExtent) { String regionId = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_ID); if (regionId == null) { return null; } float position; float line; String regionOrigin = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_ORIGIN); if (regionOrigin != null) { Matcher originPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionOrigin); Matcher originPixelMatcher = PIXEL_COORDINATES.matcher(regionOrigin); if (originPercentageMatcher.matches()) { try { position = Float.parseFloat(originPercentageMatcher.group(1)) / 100f; line = Float.parseFloat(originPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else if (originPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int width = Integer.parseInt(originPixelMatcher.group(1)); int height = Integer.parseInt(originPixelMatcher.group(2)); // Convert pixel values to fractions. position = width / (float) ttsExtent.width; line = height / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an origin"); return null; // TODO: Should default to top left as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Origin is omitted. Default to top left. // position = 0; // line = 0; } float width; float height; String regionExtent = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_EXTENT); if (regionExtent != null) { Matcher extentPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionExtent); Matcher extentPixelMatcher = PIXEL_COORDINATES.matcher(regionExtent); if (extentPercentageMatcher.matches()) { try { width = Float.parseFloat(extentPercentageMatcher.group(1)) / 100f; height = Float.parseFloat(extentPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else if (extentPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int extentWidth = Integer.parseInt(extentPixelMatcher.group(1)); int extentHeight = Integer.parseInt(extentPixelMatcher.group(2)); // Convert pixel values to fractions. width = extentWidth / (float) ttsExtent.width; height = extentHeight / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an extent"); return null; // TODO: Should default to extent of parent as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Extent is omitted. Default to extent of parent. // width = 1; // height = 1; } @Cue.AnchorType int lineAnchor = Cue.ANCHOR_TYPE_START; String displayAlign = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_DISPLAY_ALIGN); if (displayAlign != null) { switch (Util.toLowerInvariant(displayAlign)) { case "center": lineAnchor = Cue.ANCHOR_TYPE_MIDDLE; line += height / 2; break; case "after": lineAnchor = Cue.ANCHOR_TYPE_END; line += height; break; default: // Default "before" case. Do nothing. break; } } float regionTextHeight = 1.0f / cellResolution.rows; return new TtmlRegion( regionId, position, line, /* lineType= */ Cue.LINE_TYPE_FRACTION, lineAnchor, width, /* textSizeType= */ Cue.TEXT_SIZE_TYPE_FRACTIONAL_IGNORE_PADDING, /* textSize= */ regionTextHeight); }	long method	long method	t	t	t			0	13223	https://github.com/google/ExoPlayer/blob/4bc79c9465abd00e29ff576c5f7a7517be632f5a/library/core/src/main/java/com/google/android/exoplayer2/text/ttml/TtmlDecoder.java/#L311-L434	1	2127	13223
4088	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static Predicate isUnix() { return new Predicate() { @Override public boolean apply(OperatingSystem os) { if (os.getFamily() != null) { switch (os.getFamily()) { case WINDOWS: return false; } } for (String toMatch : searchStrings(os)) if (toMatch != null && toMatch.toLowerCase().indexOf("windows") != -1) return false; return true; } @Override public String toString() { return "isUnix()"; } }; }	long method	Long method2 Feature envy	t	f	t			0	10777	https://github.com/apache/jclouds/blob/c2670079fabe74f163f43fbade0866469f7a84ec/compute/src/main/java/org/jclouds/compute/predicates/OperatingSystemPredicates.java/#L38-L59	2	4088	10777
3840	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public final Description matchClass(ClassTree classTree, VisitorState state) { if (!HAS_CONSTRUCTORS_WITH_INJECT.matches(classTree, state)) { return Description.NO_MATCH; } List ctors = ASTHelpers.getConstructors(classTree); List ctorsWithInject = ctors.stream() .filter(c -> hasInjectAnnotation().matches(c, state)) .collect(toImmutableList()); if (ctorsWithInject.size() != 1) { // Injection frameworks don't support multiple @Inject ctors. // There is already an ERROR check for it. // http://errorprone.info/bugpattern/MoreThanOneInjectableConstructor return Description.NO_MATCH; } // collect the assignments in ctor Set variablesAssigned = new HashSet<>(); new TreeScanner() { @Override public Void visitAssignment(AssignmentTree tree, Void unused) { Symbol symbol = ASTHelpers.getSymbol(tree.getVariable()); // check if it is instance field. if (symbol != null && symbol.getKind() == ElementKind.FIELD && !symbol.isStatic()) { variablesAssigned.add(symbol); } return super.visitAssignment(tree, null); } }.scan((JCTree) getOnlyElement(ctorsWithInject), null); SuggestedFix.Builder fix = SuggestedFix.builder(); VariableTree variableTreeFirstMatch = null; for (Tree member : classTree.getMembers()) { if (!(member instanceof VariableTree)) { continue; } VariableTree variableTree = (VariableTree) member; if (!INSTANCE_FIELD_WITH_INJECT.matches(variableTree, state)) { continue; } if (!variablesAssigned.contains(ASTHelpers.getSymbol(variableTree))) { continue; } variableTreeFirstMatch = variableTree; removeInjectAnnotationFromVariable(variableTree, state).ifPresent(fix::merge); } if (variableTreeFirstMatch == null) { return Description.NO_MATCH; } if (fix.isEmpty()) { return describeMatch(variableTreeFirstMatch); } return describeMatch(variableTreeFirstMatch, fix.build()); }	long method	Long method2 Feature envy	t	f	t			0	9895	https://github.com/google/error-prone/blob/61cb540c08ec63faa56dccce00049cff1f8b41ea/core/src/main/java/com/google/errorprone/bugpatterns/inject/InjectOnMemberAndConstructor.java/#L72-L128	2	3840	9895
5759	{"message": "YES, I found bad smells", "bad smells are": ["Long method", "Long parameter list"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	long method, long parameter list	t	t	t	long parameter list		0	14515	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	2	5759	14515
3940	{"answer": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	long method	t	t	t			0	10313	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	1	3940	10313
2013	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void validateDepositDetailForUpdate(final JsonElement element, final FromJsonHelper fromApiJsonHelper, final DataValidatorBuilder baseDataValidator) { if (fromApiJsonHelper.parameterExists(nameParamName, element)) { final String name = fromApiJsonHelper.extractStringNamed(nameParamName, element); baseDataValidator.reset().parameter(nameParamName).value(name).notBlank().notExceedingLengthOf(100); } if (fromApiJsonHelper.parameterExists(shortNameParamName, element)) { final String shortName = fromApiJsonHelper.extractStringNamed(shortNameParamName, element); baseDataValidator.reset().parameter(shortNameParamName).value(shortName).notBlank().notExceedingLengthOf(4); } if (fromApiJsonHelper.parameterExists(descriptionParamName, element)) { final String description = fromApiJsonHelper.extractStringNamed(descriptionParamName, element); baseDataValidator.reset().parameter(descriptionParamName).value(description).notBlank().notExceedingLengthOf(500); } if (fromApiJsonHelper.parameterExists(currencyCodeParamName, element)) { final String currencyCode = fromApiJsonHelper.extractStringNamed(currencyCodeParamName, element); baseDataValidator.reset().parameter(currencyCodeParamName).value(currencyCode).notBlank(); } if (fromApiJsonHelper.parameterExists(digitsAfterDecimalParamName, element)) { final Integer digitsAfterDecimal = fromApiJsonHelper.extractIntegerSansLocaleNamed(digitsAfterDecimalParamName, element); baseDataValidator.reset().parameter(digitsAfterDecimalParamName).value(digitsAfterDecimal).notNull().inMinMaxRange(0, 6); } if (fromApiJsonHelper.parameterExists(inMultiplesOfParamName, element)) { final Integer inMultiplesOf = fromApiJsonHelper.extractIntegerNamed(inMultiplesOfParamName, element, Locale.getDefault()); baseDataValidator.reset().parameter(inMultiplesOfParamName).value(inMultiplesOf).ignoreIfNull().integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(nominalAnnualInterestRateParamName, element)) { final BigDecimal interestRate = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(nominalAnnualInterestRateParamName, element); baseDataValidator.reset().parameter(nominalAnnualInterestRateParamName).value(interestRate).notNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(interestCompoundingPeriodTypeParamName, element)) { final Integer interestCompoundingPeriodType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCompoundingPeriodTypeParamName, element); baseDataValidator.reset().parameter(interestCompoundingPeriodTypeParamName).value(interestCompoundingPeriodType).notNull() .isOneOfTheseValues(SavingsCompoundingInterestPeriodType.integerValues()); } if (fromApiJsonHelper.parameterExists(interestCalculationTypeParamName, element)) { final Integer interestCalculationType = fromApiJsonHelper.extractIntegerSansLocaleNamed(interestCalculationTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationTypeParamName).value(interestCalculationType).notNull() .inMinMaxRange(1, 2); } if (fromApiJsonHelper.parameterExists(interestCalculationDaysInYearTypeParamName, element)) { final Integer interestCalculationDaysInYearType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCalculationDaysInYearTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationDaysInYearTypeParamName).value(interestCalculationDaysInYearType) .notNull().isOneOfTheseValues(360, 365); } if (fromApiJsonHelper.parameterExists(minRequiredOpeningBalanceParamName, element)) { final BigDecimal minOpeningBalance = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(minRequiredOpeningBalanceParamName, element); baseDataValidator.reset().parameter(minRequiredOpeningBalanceParamName).value(minOpeningBalance).ignoreIfNull() .zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyParamName, element)) { final Integer lockinPeriodFrequency = fromApiJsonHelper.extractIntegerWithLocaleNamed(lockinPeriodFrequencyParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyParamName).value(lockinPeriodFrequency).ignoreIfNull() .integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyTypeParamName, element)) { final Integer lockinPeriodFrequencyType = fromApiJsonHelper.extractIntegerSansLocaleNamed(lockinPeriodFrequencyTypeParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyTypeParamName).value(lockinPeriodFrequencyType).inMinMaxRange(0, 3); } if (fromApiJsonHelper.parameterExists(withdrawalFeeForTransfersParamName, element)) { final Boolean isWithdrawalFeeApplicableForTransfers = fromApiJsonHelper.extractBooleanNamed(withdrawalFeeForTransfersParamName, element); baseDataValidator.reset().parameter(withdrawalFeeForTransfersParamName).value(isWithdrawalFeeApplicableForTransfers) .ignoreIfNull().validateForBooleanValue(); } if (fromApiJsonHelper.parameterExists(feeAmountParamName, element)) { final BigDecimal annualFeeAmount = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(feeAmountParamName, element); baseDataValidator.reset().parameter(feeAmountParamName).value(annualFeeAmount).ignoreIfNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(feeOnMonthDayParamName, element)) { final MonthDay monthDayOfAnnualFee = fromApiJsonHelper.extractMonthDayNamed(feeOnMonthDayParamName, element); baseDataValidator.reset().parameter(feeOnMonthDayParamName).value(monthDayOfAnnualFee).ignoreIfNull(); } if (this.fromApiJsonHelper.parameterExists(minBalanceForInterestCalculationParamName, element)) { final BigDecimal minBalanceForInterestCalculation = this.fromApiJsonHelper.extractBigDecimalWithLocaleNamed( minBalanceForInterestCalculationParamName, element); baseDataValidator.reset().parameter(minBalanceForInterestCalculationParamName).value(minBalanceForInterestCalculation) .ignoreIfNull().zeroOrPositiveAmount(); } final Long savingsControlAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue()).value(savingsControlAccountId) .ignoreIfNull().integerGreaterThanZero(); final Long savingsReferenceAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue()) .value(savingsReferenceAccountId).ignoreIfNull().integerGreaterThanZero(); final Long transfersInSuspenseAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue()) .value(transfersInSuspenseAccountId).ignoreIfNull().integerGreaterThanZero(); final Long interestOnSavingsAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue()) .value(interestOnSavingsAccountId).ignoreIfNull().integerGreaterThanZero(); final Long incomeFromFeeId = fromApiJsonHelper.extractLongNamed(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue()).value(incomeFromFeeId) .ignoreIfNull().integerGreaterThanZero(); final Long incomeFromPenaltyId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue()).value(incomeFromPenaltyId) .ignoreIfNull().integerGreaterThanZero(); validatePaymentChannelFundSourceMappings(fromApiJsonHelper, baseDataValidator, element); validateChargeToIncomeAccountMappings(fromApiJsonHelper, baseDataValidator, element); validateTaxWithHoldingParams(baseDataValidator, element, false); }	long method	long method, data class	t	t	t	data class		0	12755	https://github.com/apache/fineract/blob/210e380df3ca5c74c8c2fa09e7fe1cffdb87e20a/fineract-provider/src/main/java/org/apache/fineract/portfolio/savings/data/DepositProductDataValidator.java/#L413-L547	1	2013	12755
1906	YES I found bad smells the bad smells are: 1. Long method 2. Long parameter list 3. Duplicate code 4. Conditional complexity 5. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: long recoverDrf(OplogEntryIdSet deletedIds, boolean alreadyRecoveredOnce, boolean latestOplog) { File drfFile = this.drf.f; if (drfFile == null) { this.haveRecoveredDrf = true; return 0L; } lockCompactor(); try { if (this.haveRecoveredDrf && !getHasDeletes()) return 0L; // do this while holding lock if (!this.haveRecoveredDrf) { this.haveRecoveredDrf = true; } logger.info("Recovering {} {} for disk store {}.", new Object[] {toString(), drfFile.getAbsolutePath(), getParent().getName()}); this.recoverDelEntryId = DiskStoreImpl.INVALID_ID; boolean readLastRecord = true; CountingDataInputStream dis = null; try { int recordCount = 0; boolean foundDiskStoreRecord = false; FileInputStream fis = null; try { fis = new FileInputStream(drfFile); dis = new CountingDataInputStream(new BufferedInputStream(fis, 32 * 1024), drfFile.length()); boolean endOfLog = false; while (!endOfLog) { if (dis.atEndOfFile()) { endOfLog = true; break; } readLastRecord = false; byte opCode = dis.readByte(); if (logger.isTraceEnabled(LogMarker.PERSIST_RECOVERY_VERBOSE)) { logger.trace(LogMarker.PERSIST_RECOVERY_VERBOSE, "drf byte={} location={}", opCode, Long.toHexString(dis.getCount())); } switch (opCode) { case OPLOG_EOF_ID: // we are at the end of the oplog. So we need to back up one byte dis.decrementCount(); endOfLog = true; break; case OPLOG_DEL_ENTRY_1ID: case OPLOG_DEL_ENTRY_2ID: case OPLOG_DEL_ENTRY_3ID: case OPLOG_DEL_ENTRY_4ID: case OPLOG_DEL_ENTRY_5ID: case OPLOG_DEL_ENTRY_6ID: case OPLOG_DEL_ENTRY_7ID: case OPLOG_DEL_ENTRY_8ID: readDelEntry(dis, opCode, deletedIds, parent); recordCount++; break; case OPLOG_DISK_STORE_ID: readDiskStoreRecord(dis, this.drf.f); foundDiskStoreRecord = true; recordCount++; break; case OPLOG_MAGIC_SEQ_ID: readOplogMagicSeqRecord(dis, this.drf.f, OPLOG_TYPE.DRF); break; case OPLOG_GEMFIRE_VERSION: readGemfireVersionRecord(dis, this.drf.f); recordCount++; break; case OPLOG_RVV: long idx = dis.getCount(); readRVVRecord(dis, this.drf.f, true, latestOplog); recordCount++; break; default: throw new DiskAccessException( String.format("Unknown opCode %s found in disk operation log.", opCode), getParent()); } readLastRecord = true; // @todo // if (rgn.isDestroyed()) { // break; // } } // while } finally { if (dis != null) { dis.close(); } if (fis != null) { fis.close(); } } if (!foundDiskStoreRecord && recordCount > 0) { throw new DiskAccessException( "The oplog file \"" + this.drf.f + "\" does not belong to the init file \"" + getParent().getInitFile() + "\". Drf did not contain a disk store id.", getParent()); } } catch (EOFException ignore) { // ignore since a partial record write can be caused by a crash } catch (IOException ex) { getParent().getCancelCriterion().checkCancelInProgress(ex); throw new DiskAccessException( String.format("Failed to read file during recovery from %s", drfFile.getPath()), ex, getParent()); } catch (CancelException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Cache was closed", e); } } catch (RegionDestroyedException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Region was destroyed", e); } } // Add the Oplog size to the Directory Holder which owns this oplog, // so that available space is correctly calculated & stats updated. long byteCount = 0; if (!readLastRecord) { // this means that there was a crash // and hence we should not continue to read // the next oplog this.crashed = true; if (dis != null) { byteCount = dis.getFileLength(); } } else { if (dis != null) { byteCount = dis.getCount(); } } if (!alreadyRecoveredOnce) { setRecoveredDrfSize(byteCount); this.dirHolder.incrementTotalOplogSize(byteCount); } return byteCount; } finally { unlockCompactor(); } }	long method	Long method2 Long parameter list3 Duplicate code4 Conditional complexity5 Feature envy	t	f	t			0	12380	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/Oplog.java/#L1448-L1589	2	1906	12380
489	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void appendXmlComparison1(SQLBuffer buf, String op, FilterValue lhs, FilterValue rhs) { boolean castrhs = false; Class rc = Filters.wrap(rhs.getType()); int type = 0; if (rhs.isConstant()) { type = getJDBCType(JavaTypes.getTypeCode(rc), false); castrhs = true; } appendXmlExists(buf, lhs); buf.append(" ").append(op).append(" "); buf.append("$"); if (castrhs) buf.append("Parm"); else rhs.appendTo(buf); buf.append("]' PASSING "); appendXmlVar(buf, lhs); buf.append(", "); if (castrhs) appendCast(buf, rhs, type); else rhs.appendTo(buf); buf.append(" AS \""); if (castrhs) buf.append("Parm"); else rhs.appendTo(buf); buf.append("\")"); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	4865	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DB2Dictionary.java/#L682-L717	2	489	4865
1446	{"response": "YES I found bad smells", "bad smells are": ["Blob", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, FetchRuleKeyLogsRequest struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RULE_KEYS if (schemeField.type == org.apache.thrift.protocol.TType.LIST) { { org.apache.thrift.protocol.TList _list184 = iprot.readListBegin(); struct.ruleKeys = new java.util.ArrayList(_list184.size); java.lang.String _elem185; for (int _i186 = 0; _i186 < _list184.size; ++_i186) { _elem185 = iprot.readString(); struct.ruleKeys.add(_elem185); } iprot.readListEnd(); } struct.setRuleKeysIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // REPOSITORY if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.repository = iprot.readString(); struct.setRepositoryIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // SCHEDULE_TYPE if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.scheduleType = iprot.readString(); struct.setScheduleTypeIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // DISTRIBUTED_BUILD_MODE_ENABLED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.distributedBuildModeEnabled = iprot.readBool(); struct.setDistributedBuildModeEnabledIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); // check for required fields of primitive type, which can't be checked in the validate method struct.validate(); }	long method	blob, long method	t	t	t	blob		0	10983	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src-gen/com/facebook/buck/distributed/thrift/FetchRuleKeyLogsRequest.java/#L547-L608	1	1446	10983
1194	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public long exportTo(final ContentClaim claim, final Path destination, final boolean append, final long offset, final long length) throws IOException { if (claim == null) { if (append) { return 0L; } Files.createFile(destination); return 0L; } final StandardOpenOption openOption = append ? StandardOpenOption.APPEND : StandardOpenOption.CREATE; try (final InputStream in = read(claim); final OutputStream destinationStream = Files.newOutputStream(destination, openOption)) { if (offset > 0) { StreamUtils.skip(in, offset); } StreamUtils.copy(in, destinationStream, length); return length; } }	long method	Long method2 Feature envy	t	f	t			0	10265	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-framework-core/src/main/java/org/apache/nifi/controller/repository/VolatileContentRepository.java/#L397-L418	2	1194	10265
1746	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public NestedLoopJoin(IHyracksTaskContext ctx, FrameTupleAccessor accessorOuter, FrameTupleAccessor accessorInner, ITuplePairComparator comparatorsOuter2Inner, int memSize, IPredicateEvaluator predEval, boolean isLeftOuter, IMissingWriter[] missingWriters) throws HyracksDataException { this.accessorInner = accessorInner; this.accessorOuter = accessorOuter; this.appender = new FrameTupleAppender(); this.tpComparator = comparatorsOuter2Inner; this.outBuffer = new VSizeFrame(ctx); this.innerBuffer = new VSizeFrame(ctx); this.appender.reset(outBuffer, true); if (memSize < 3) { throw new HyracksDataException("Not enough memory is available for Nested Loop Join"); } this.outerBufferMngr = new VariableFrameMemoryManager(new VariableFramePool(ctx, ctx.getInitialFrameSize() * (memSize - 2)), FrameFreeSlotPolicyFactory.createFreeSlotPolicy(EnumFreeSlotPolicy.LAST_FIT, memSize - 2)); this.predEvaluator = predEval; this.isReversed = false; this.isLeftOuter = isLeftOuter; if (isLeftOuter) { int innerFieldCount = this.accessorInner.getFieldCount(); missingTupleBuilder = new ArrayTupleBuilder(innerFieldCount); DataOutput out = missingTupleBuilder.getDataOutput(); for (int i = 0; i < innerFieldCount; i++) { missingWriters[i].writeMissing(out); missingTupleBuilder.addFieldEndOffset(); } } else { missingTupleBuilder = null; } FileReference file = ctx.getJobletContext().createManagedWorkspaceFile(this.getClass().getSimpleName() + this.toString()); runFileWriter = new RunFileWriter(file, ctx.getIoManager()); runFileWriter.open(); }	long method	Long method2 Feature envy	t	f	t			0	11853	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-dataflow-std/src/main/java/org/apache/hyracks/dataflow/std/join/NestedLoopJoin.java/#L60-L97	2	1746	11853
1118	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private TtmlRegion parseRegionAttributes( XmlPullParser xmlParser, CellResolution cellResolution, TtsExtent ttsExtent) { String regionId = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_ID); if (regionId == null) { return null; } float position; float line; String regionOrigin = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_ORIGIN); if (regionOrigin != null) { Matcher originPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionOrigin); Matcher originPixelMatcher = PIXEL_COORDINATES.matcher(regionOrigin); if (originPercentageMatcher.matches()) { try { position = Float.parseFloat(originPercentageMatcher.group(1)) / 100f; line = Float.parseFloat(originPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else if (originPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int width = Integer.parseInt(originPixelMatcher.group(1)); int height = Integer.parseInt(originPixelMatcher.group(2)); // Convert pixel values to fractions. position = width / (float) ttsExtent.width; line = height / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an origin"); return null; // TODO: Should default to top left as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Origin is omitted. Default to top left. // position = 0; // line = 0; } float width; float height; String regionExtent = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_EXTENT); if (regionExtent != null) { Matcher extentPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionExtent); Matcher extentPixelMatcher = PIXEL_COORDINATES.matcher(regionExtent); if (extentPercentageMatcher.matches()) { try { width = Float.parseFloat(extentPercentageMatcher.group(1)) / 100f; height = Float.parseFloat(extentPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else if (extentPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int extentWidth = Integer.parseInt(extentPixelMatcher.group(1)); int extentHeight = Integer.parseInt(extentPixelMatcher.group(2)); // Convert pixel values to fractions. width = extentWidth / (float) ttsExtent.width; height = extentHeight / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an extent"); return null; // TODO: Should default to extent of parent as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Extent is omitted. Default to extent of parent. // width = 1; // height = 1; } @Cue.AnchorType int lineAnchor = Cue.ANCHOR_TYPE_START; String displayAlign = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_DISPLAY_ALIGN); if (displayAlign != null) { switch (Util.toLowerInvariant(displayAlign)) { case "center": lineAnchor = Cue.ANCHOR_TYPE_MIDDLE; line += height / 2; break; case "after": lineAnchor = Cue.ANCHOR_TYPE_END; line += height; break; default: // Default "before" case. Do nothing. break; } } float regionTextHeight = 1.0f / cellResolution.rows; return new TtmlRegion( regionId, position, line, /* lineType= */ Cue.LINE_TYPE_FRACTION, lineAnchor, width, /* textSizeType= */ Cue.TEXT_SIZE_TYPE_FRACTIONAL_IGNORE_PADDING, /* textSize= */ regionTextHeight); }	long method	long method	t	t	t			0	9959	https://github.com/google/ExoPlayer/blob/4bc79c9465abd00e29ff576c5f7a7517be632f5a/library/core/src/main/java/com/google/android/exoplayer2/text/ttml/TtmlDecoder.java/#L311-L434	1	1118	9959
577	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Action createAction(final ProjectInfo project, final TeamConfiguration team) { Check.notNull(project, "project"); //$NON-NLS-1$ Check.notNull(team, "team"); //$NON-NLS-1$ final String projectGUID = project.getGUID(); // Omit the team name for the default team final String actionName = team.isDefaultTeam() ? project.getName() : MessageFormat.format( Messages.getString("TeamExplorerControl.ProjectSlashTeamFormat"), //$NON-NLS-1$ project.getName(), team.getTeamName()); final Action action = new Action(actionName) { @Override public void run() { final String beforeChangeProjectGUID = context.getCurrentProjectInfo().getGUID(); if (!projectGUID.equals(beforeChangeProjectGUID) || !team.equals(context.getCurrentTeam())) { context.setCurrentProject(projectGUID); context.setCurrentTeam(team); TFSCommonUIClientPlugin.getDefault().projectOrTeamChanged(); // Only invoke this listener if team project changed if (!projectGUID.equals(beforeChangeProjectGUID)) { final boolean tfvc = context.getCurrentProjectInfo().getSourceControlCapabilityFlags().contains( SourceControlCapabilityFlags.TFS); TFSCommonUIClientPlugin.getDefault().sourceControlChanged(tfvc); } } } }; if (projectGUID.equals(context.getCurrentProjectInfo().getGUID()) && team.equals(context.getCurrentTeam())) { action.setChecked(true); } return action; }	long method	Long method2 Feature envy	t	f	t			0	5782	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.client.common.ui/src/com/microsoft/tfs/client/common/ui/controls/teamexplorer/TeamExplorerControl.java/#L607-L647	2	577	5782
1204	{"response":"YES I found bad smells","bad smells":["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void resizeInstructions() { byte[] b = code.data; // bytecode of the method int u, v, label; // indexes in b int i, j; // loop indexes /* * 1st step: As explained above, resizing an instruction may require to * resize another one, which may require to resize yet another one, and * so on. The first step of the algorithm consists in finding all the * instructions that need to be resized, without modifying the code. * This is done by the following "fix point" algorithm: * * Parse the code to find the jump instructions whose offset will need * more than 2 bytes to be stored (the future offset is computed from * the current offset and from the number of bytes that will be inserted * or removed between the source and target instructions). For each such * instruction, adds an entry in (a copy of) the indexes and sizes * arrays (if this has not already been done in a previous iteration!). * * If at least one entry has been added during the previous step, go * back to the beginning, otherwise stop. * * In fact the real algorithm is complicated by the fact that the size * of TABLESWITCH and LOOKUPSWITCH instructions depends on their * position in the bytecode (because of padding). In order to ensure the * convergence of the algorithm, the number of bytes to be added or * removed from these instructions is over estimated during the previous * loop, and computed exactly only after the loop is finished (this * requires another pass to parse the bytecode of the method). */ int[] allIndexes = new int[0]; // copy of indexes int[] allSizes = new int[0]; // copy of sizes boolean[] resize; // instructions to be resized int newOffset; // future offset of a jump instruction resize = new boolean[code.length]; // 3 = loop again, 2 = loop ended, 1 = last pass, 0 = done int state = 3; do { if (state == 3) { state = 2; } u = 0; while (u < b.length) { int opcode = b[u] & 0xFF; // opcode of current instruction int insert = 0; // bytes to be added after this instruction switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // converts temporary opcodes 202 to 217, 218 and // 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (newOffset < Short.MIN_VALUE || newOffset > Short.MAX_VALUE) { if (!resize[u]) { if (opcode == Opcodes.GOTO || opcode == Opcodes.JSR) { // two additional bytes will be required to // replace this GOTO or JSR instruction with // a GOTO_W or a JSR_W insert = 2; } else { // five additional bytes will be required to // replace this IFxxx instruction with // IFNOTxxx GOTO_W , where IFNOTxxx // is the "opposite" opcode of IFxxx (i.e., // IFNE for IFEQ) and where designates // the instruction just after the GOTO_W. insert = 5; } resize[u] = true; } } u += 3; break; case ClassWriter.LABELW_INSN: u += 5; break; case ClassWriter.TABL_INSN: if (state == 1) { // true number of bytes to be added (or removed) // from this instruction = (future number of padding // bytes - current number of padding byte) - // previously over estimated variation = // = ((3 - newOffset%4) - (3 - u%4)) - u%4 // = (-newOffset%4 + u%4) - u%4 // = -(newOffset & 3) newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // over estimation of the number of bytes to be // added to this instruction = 3 - current number // of padding bytes = 3 - (3 - u%4) = u%4 = u & 3 insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 4 * (readInt(b, u + 8) - readInt(b, u + 4) + 1) + 12; break; case ClassWriter.LOOK_INSN: if (state == 1) { // like TABL_INSN newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // like TABL_INSN insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 8 * readInt(b, u + 4) + 8; break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { u += 6; } else { u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: u += 5; break; // case ClassWriter.MANA_INSN: default: u += 4; break; } if (insert != 0) { // adds a new (u, insert) entry in the allIndexes and // allSizes arrays int[] newIndexes = new int[allIndexes.length + 1]; int[] newSizes = new int[allSizes.length + 1]; System.arraycopy(allIndexes, 0, newIndexes, 0, allIndexes.length); System.arraycopy(allSizes, 0, newSizes, 0, allSizes.length); newIndexes[allIndexes.length] = u; newSizes[allSizes.length] = insert; allIndexes = newIndexes; allSizes = newSizes; if (insert > 0) { state = 3; } } } if (state < 3) { --state; } } while (state != 0); // 2nd step: // copies the bytecode of the method into a new bytevector, updates the // offsets, and inserts (or removes) bytes as requested. ByteVector newCode = new ByteVector(code.length); u = 0; while (u < code.length) { int opcode = b[u] & 0xFF; switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: newCode.putByte(opcode); u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // changes temporary opcodes 202 to 217 (inclusive), 218 // and 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (resize[u]) { // replaces GOTO with GOTO_W, JSR with JSR_W and IFxxx // with IFNOTxxx GOTO_W , where IFNOTxxx is // the "opposite" opcode of IFxxx (i.e., IFNE for IFEQ) // and where designates the instruction just after // the GOTO_W. if (opcode == Opcodes.GOTO) { newCode.putByte(200); // GOTO_W } else if (opcode == Opcodes.JSR) { newCode.putByte(201); // JSR_W } else { newCode.putByte(opcode <= 166 ? ((opcode + 1) ^ 1) - 1 : opcode ^ 1); newCode.putShort(8); // jump offset newCode.putByte(200); // GOTO_W // newOffset now computed from start of GOTO_W newOffset -= 3; } newCode.putInt(newOffset); } else { newCode.putByte(opcode); newCode.putShort(newOffset); } u += 3; break; case ClassWriter.LABELW_INSN: label = u + readInt(b, u + 1); newOffset = getNewOffset(allIndexes, allSizes, u, label); newCode.putByte(opcode); newCode.putInt(newOffset); u += 5; break; case ClassWriter.TABL_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.TABLESWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); j = readInt(b, u) - j + 1; u += 4; newCode.putInt(readInt(b, u - 4)); for (; j > 0; --j) { label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.LOOK_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.LOOKUPSWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); for (; j > 0; --j) { newCode.putInt(readInt(b, u)); u += 4; label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { newCode.putByteArray(b, u, 6); u += 6; } else { newCode.putByteArray(b, u, 4); u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: newCode.putByteArray(b, u, 2); u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: newCode.putByteArray(b, u, 3); u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: newCode.putByteArray(b, u, 5); u += 5; break; // case MANA_INSN: default: newCode.putByteArray(b, u, 4); u += 4; break; } } // recomputes the stack map frames if (frameCount > 0) { if (compute == FRAMES) { frameCount = 0; stackMap = null; previousFrame = null; frame = null; Frame f = new Frame(); f.owner = labels; Type[] args = Type.getArgumentTypes(descriptor); f.initInputFrame(cw, access, args, maxLocals); visitFrame(f); Label l = labels; while (l != null) { /* * here we need the original label position. getNewOffset * must therefore never have been called for this label. */ u = l.position - 3; if ((l.status & Label.STORE) != 0 || (u >= 0 && resize[u])) { getNewOffset(allIndexes, allSizes, l); // TODO update offsets in UNINITIALIZED values visitFrame(l.frame); } l = l.successor; } } else { /* * Resizing an existing stack map frame table is really hard. * Not only the table must be parsed to update the offets, but * new frames may be needed for jump instructions that were * inserted by this method. And updating the offsets or * inserting frames can change the format of the following * frames, in case of packed frames. In practice the whole table * must be recomputed. For this the frames are marked as * potentially invalid. This will cause the whole class to be * reread and rewritten with the COMPUTE_FRAMES option (see the * ClassWriter.toByteArray method). This is not very efficient * but is much easier and requires much less code than any other * method I can think of. */ cw.invalidFrames = true; } } // updates the exception handler block labels Handler h = firstHandler; while (h != null) { getNewOffset(allIndexes, allSizes, h.start); getNewOffset(allIndexes, allSizes, h.end); getNewOffset(allIndexes, allSizes, h.handler); h = h.next; } // updates the instructions addresses in the // local var and line number tables for (i = 0; i < 2; ++i) { ByteVector bv = i == 0 ? localVar : localVarType; if (bv != null) { b = bv.data; u = 0; while (u < bv.length) { label = readUnsignedShort(b, u); newOffset = getNewOffset(allIndexes, allSizes, 0, label); writeShort(b, u, newOffset); label += readUnsignedShort(b, u + 2); newOffset = getNewOffset(allIndexes, allSizes, 0, label) - newOffset; writeShort(b, u + 2, newOffset); u += 10; } } } if (lineNumber != null) { b = lineNumber.data; u = 0; while (u < lineNumber.length) { writeShort( b, u, getNewOffset(allIndexes, allSizes, 0, readUnsignedShort(b, u))); u += 4; } } // updates the labels of the other attributes Attribute attr = cattrs; while (attr != null) { Label[] labels = attr.getLabels(); if (labels != null) { for (i = labels.length - 1; i >= 0; --i) { getNewOffset(allIndexes, allSizes, labels[i]); } } attr = attr.next; } // replaces old bytecodes with new ones code = newCode; }	long method	long method	t	t	t			0	10287	https://github.com/apache/tajo/blob/fb326195083959014c82c10187cb46de91ece33f/tajo-thirdparty/asm/src/main/java/org/apache/tajo/org/objectweb/asm/MethodWriter.java/#L2145-L2559	1	1204	10287
1010	YES, I found bad smells the bad smells are: 1 - Long method 2 - Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void addDataAccessNodes(UaFolderNode rootNode) { // DataAccess folder UaFolderNode dataAccessFolder = new UaFolderNode( getNodeContext(), newNodeId("HelloWorld/DataAccess"), newQualifiedName("DataAccess"), LocalizedText.english("DataAccess") ); getNodeManager().addNode(dataAccessFolder); rootNode.addOrganizes(dataAccessFolder); // AnalogItemType node try { AnalogItemNode node = (AnalogItemNode) getNodeFactory().createNode( newNodeId("HelloWorld/DataAccess/AnalogValue"), Identifiers.AnalogItemType, true ); node.setBrowseName(newQualifiedName("AnalogValue")); node.setDisplayName(LocalizedText.english("AnalogValue")); node.setDataType(Identifiers.Double); node.setValue(new DataValue(new Variant(3.14d))); node.setEURange(new Range(0.0, 100.0)); getNodeManager().addNode(node); dataAccessFolder.addOrganizes(node); } catch (UaException e) { logger.error("Error creating AnalogItemType instance: {}", e.getMessage(), e); } }	long method	- Long method2 - Feature envy	t	f	t			0	9270	https://github.com/eclipse/milo/blob/e752e540d31eb3c226e6e79dd197c54d7d254685/milo-examples/server-examples/src/main/java/org/eclipse/milo/examples/server/ExampleNamespace.java/#L503-L535	2	1010	9270
9	{ "message": "YES I found bad smells", "bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected boolean validateToken(String token) { try { SignedJWT signed = SignedJWT.parse(token); boolean sigValid = validateSignature(signed); if (!sigValid) { LOGGER.warn("Signature of JWT token could not be verified. Please check the public key"); return false; } boolean expValid = validateExpiration(signed); if (!expValid) { LOGGER.warn("Expiration time validation of JWT token failed."); return false; } String currentUser = (String) org.apache.shiro.SecurityUtils.getSubject().getPrincipal(); if (currentUser == null) { return true; } String cookieUser = signed.getJWTClaimsSet().getSubject(); if (!cookieUser.equals(currentUser)) { return false; } return true; } catch (ParseException ex) { LOGGER.info("ParseException in validateToken", ex); return false; } }	long method	long method, feature envy	t	t	t	feature envy		0	612	https://github.com/apache/zeppelin/blob/4219d552349f8f7f3e6de34505b8a8ae9835f98b/zeppelin-server/src/main/java/org/apache/zeppelin/realm/jwt/KnoxJwtRealm.java/#L130-L156	2	9	612
5012	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy 4. Tight coupling 5. Magic numbers 6. Dead code 7. Exception handling 8. Lack of comments/documentation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void start(Stage stage) { try { // create splitPane pane and JavaFX app scene SplitPane splitPane = new SplitPane(); splitPane.setOrientation(Orientation.VERTICAL); Scene fxScene = new Scene(splitPane); // set title, size, and add JavaFX scene to stage stage.setTitle("Feature Layer Rendering Mode Map Sample"); stage.setWidth(800); stage.setHeight(700); stage.setScene(fxScene); stage.show(); // create a map (top) and set it to render all features in static rendering mode ArcGISMap mapTop = new ArcGISMap(); mapTop.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); // create a map (bottom) and set it to render all features in dynamic rendering mode ArcGISMap mapBottom = new ArcGISMap(); mapBottom.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); // creating top map view mapViewTop = new MapView(); mapViewTop.setMap(mapTop); splitPane.getItems().add(mapViewTop); // creating bottom map view mapViewBottom = new MapView(); mapViewBottom.setMap(mapBottom); splitPane.getItems().add(mapViewBottom); // create service feature table using a point, polyline, and polygon service ServiceFeatureTable pointServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/0"); ServiceFeatureTable polylineServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/8"); ServiceFeatureTable polygonServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/9"); // create feature layer from service feature tables FeatureLayer pointFeatureLayer = new FeatureLayer(pointServiceFeatureTable); FeatureLayer polylineFeatureLayer = new FeatureLayer(polylineServiceFeatureTable); FeatureLayer polygonFeatureLayer = new FeatureLayer(polygonServiceFeatureTable); // add each layer to top and bottom map mapTop.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer, polylineFeatureLayer, polygonFeatureLayer)); mapBottom.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer.copy(), polylineFeatureLayer.copy(), polygonFeatureLayer.copy())); // viewpoint locations for map view to zoom in and out to Viewpoint zoomOutPoint = new Viewpoint(new Point(-118.37, 34.46, SpatialReferences.getWgs84()), 650000, 0); Viewpoint zoomInPoint = new Viewpoint(new Point(-118.45, 34.395, SpatialReferences.getWgs84()), 50000, 90); mapViewTop.setViewpoint(zoomOutPoint); mapViewBottom.setViewpoint(zoomOutPoint); //loop an animation into and out from the zoom in point (5 seconds each) with a 2 second gap between zooming timeline = new Timeline(); timeline.setCycleCount(Animation.INDEFINITE); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(7), event -> zoomTo(zoomInPoint))); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(14), event -> zoomTo(zoomOutPoint))); timeline.play(); } catch (Exception e) { // on any error, display the stack trace. e.printStackTrace(); } }	long method	Long method 2 Duplicate code 3 Feature envy 4 Tight coupling 5 Magic numbers 6 Dead code 7 Exception handling 8 Lack of comments/documentation	t	f	t			0	13779	https://github.com/Esri/arcgis-runtime-samples-java/blob/c7a0b309586495ff9cc9dbed129e411943547793/src/main/java/com/esri/samples/featurelayers/feature_layer_rendering_mode_map/FeatureLayerRenderingModeMapSample.java/#L45-L114	2	5012	13779
884	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void visit(DirectedGraph dg) { CompoundDirectedGraph graph = (CompoundDirectedGraph) dg; NodeList roots = new NodeList(); // Find all subgraphs and root subgraphs for (int i = 0; i < graph.nodes.size(); i++) { Object node = graph.nodes.get(i); if (node instanceof Subgraph) { Subgraph s = (Subgraph) node; Insets padding = dg.getPadding(s); s.head = new SubgraphBoundary(s, padding, 0); s.tail = new SubgraphBoundary(s, padding, 2); Edge headToTail = new Edge(s.head, s.tail); headToTail.weight = 10; graph.edges.add(headToTail); graph.containment.add(headToTail); graph.subgraphs.add(s); if (s.getParent() == null) roots.add(s); if (s.members.size() == 2) // The 2 being the head and tail only graph.edges.add(new Edge(s.head, s.tail)); } } buildNestingTreeIndices(roots, 0); convertSubgraphEndpoints(graph); addContainmentEdges(graph); replaceSubgraphsWithBoundaries(graph); }	long method	Long method,2 Feature envy	t	f	t	2. Feature envy		0	8035	https://github.com/eclipse/gef-legacy/blob/14563a9e1f2af636a5364d195cf07dbff6f35fa6/org.eclipse.draw2d/src/org/eclipse/draw2d/graph/ConvertCompoundGraph.java/#L142-L171	2	884	8035
3902	YES I found bad smells The bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: final public void DynamicExpression() throws ParseException { /*@bgen(jjtree) DynamicExpression */ AstDynamicExpression jjtn000 = new AstDynamicExpression(JJTDYNAMICEXPRESSION); boolean jjtc000 = true; jjtree.openNodeScope(jjtn000); try { jj_consume_token(START_DYNAMIC_EXPRESSION); Expression(); jj_consume_token(RBRACE); } catch (Throwable jjte000) { if (jjtc000) { jjtree.clearNodeScope(jjtn000); jjtc000 = false; } else { jjtree.popNode(); } if (jjte000 instanceof RuntimeException) { {if (true) throw (RuntimeException)jjte000;} } if (jjte000 instanceof ParseException) { {if (true) throw (ParseException)jjte000;} } {if (true) throw (Error)jjte000;} } finally { if (jjtc000) { jjtree.closeNodeScope(jjtn000, true); } } }	long method	Long method	t	f	t			0	10217	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/el/parser/ELParser.java/#L140-L168	2	3902	10217
866	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private XMLEvent expectTag(String expected, boolean allowEnd) throws IOException { XMLEvent ev = null; while (true) { try { ev = events.nextEvent(); } catch (XMLStreamException e) { throw new IOException("Expecting " + expected + ", but got XMLStreamException", e); } switch (ev.getEventType()) { case XMLEvent.ATTRIBUTE: throw new IOException("Got unexpected attribute: " + ev); case XMLEvent.CHARACTERS: if (!ev.asCharacters().isWhiteSpace()) { throw new IOException("Got unxpected characters while " + "looking for " + expected + ": " + ev.asCharacters().getData()); } break; case XMLEvent.END_ELEMENT: if (!allowEnd) { throw new IOException("Got unexpected end event " + "while looking for " + expected); } return ev; case XMLEvent.START_ELEMENT: if (!expected.startsWith("[")) { if (!ev.asStartElement().getName().getLocalPart(). equals(expected)) { throw new IOException("Failed to find <" + expected + ">; " + "got " + ev.asStartElement().getName().getLocalPart() + " instead."); } } return ev; default: // Ignore other event types like comment, etc. if (LOG.isTraceEnabled()) { LOG.trace("Skipping XMLEvent of type " + ev.getEventType() + "(" + ev + ")"); } break; } } }	long method	Long method2 Feature envy	t	f	t			0	7932	https://github.com/apache/hadoop/blob/128dd91e10080bdcbcd7d555fa3c4105e55a6b51/hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/OfflineImageReconstructor.java/#L184-L229	2	866	7932
755	YES I found bad smells. the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected MqttDeliveryToken restoreToken(MqttPublish message) { final String methodName = "restoreToken"; MqttDeliveryToken token; synchronized(tokens) { String key = Integer.toString(message.getMessageId()); if (this.tokens.containsKey(key)) { token = (MqttDeliveryToken)this.tokens.get(key); //@TRACE 302=existing key={0} message={1} token={2} log.fine(CLASS_NAME,methodName, "302",new Object[]{key, message,token}); } else { token = new MqttDeliveryToken(logContext); token.internalTok.setKey(key); this.tokens.put(key, token); //@TRACE 303=creating new token key={0} message={1} token={2} log.fine(CLASS_NAME,methodName,"303",new Object[]{key, message, token}); } } return token; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	7047	https://github.com/eclipse/paho.mqtt.java/blob/5af7b53499e7dbe45b7227b3d41fc870089c0033/org.eclipse.paho.client.mqttv3/src/main/java/org/eclipse/paho/client/mqttv3/internal/CommsTokenStore.java/#L108-L126	2	755	7047
4676	YES I found bad smells the bad smells are: 1. Long method (the method is too long and can be broken down into smaller methods for better readability and maintenance). 2. Feature envy (the method is constantly accessing and manipulating data from external objects, which can indicate that it belongs in a different class). 3. Magic numbers (there are a few instances where specific values are hardcoded, which can make the code less flexible and harder to maintain). 4. Nested loops (there are nested for loops, which can decrease performance and make the code more complex). 5. Poor naming/conventions (the use of abbreviations and uninformative variable names make it harder to understand the code). 6. Lack of comments/documentation (the code lacks proper comments and documentation, making it harder for other developers to understand its purpose and functionality). 7. Inconsistent formatting (the use of inconsistent indentation and spacing can make the code harder to read and follow).	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public ServiceDefinition[] findServicesByToolID(final String toolId) { try { ensureDiskCacheLoaded(); accessLock.readLock().lock(); final boolean returnAll = toolId == null || toolId.length() == 0; final List requestedDefinitions = new ArrayList(); // Iterate the map of service types. Values are a map of service // instances. for (final Map mapServiceInstances : mapServices.values()) { for (final ServiceDefinition definition : mapServiceInstances.values()) { /* * NB! some service definitions in Dev12 QU1 may have null * ToolID */ if (returnAll || toolId.equalsIgnoreCase(definition.getToolID())) { requestedDefinitions.add((ServiceDefinition) definition.clone()); } } } // Return null if no matching definitions were found. if (requestedDefinitions.size() == 0) { return null; } // Return an array of the matching service definitions. return requestedDefinitions.toArray(new ServiceDefinition[requestedDefinitions.size()]); } finally { accessLock.readLock().unlock(); } }	long method	Long method (the method is too long and can be broken down into smaller methods for better readability and maintenance)2 Feature envy (the method is constantly accessing and manipulating data from external objects, which can indicate that it belongs in a different class)3 Magic numbers (there are a few instances where specific values are hardcoded, which can make the code less flexible and harder to maintain)4 Nested loops (there are nested for loops, which can decrease performance and make the code more complex)5 Poor naming/conventions (the use of abbreviations and uninformative variable names make it harder to understand the code)6 Lack of comments/documentation (the code lacks proper comments and documentation, making it harder for other developers to understand its purpose and functionality)7 Inconsistent formatting (the use of inconsistent indentation and spacing can make the code harder to read and follow)	t	f	t	which can indicate that it belongs in a different class).3. Magic numbers (there are a few instances where specific values are hardcoded, which can make the code less flexible and harder to maintain).4. Nested loops (there are nested for loops, which can decrease performance and make the code more complex).5. Poor naming/conventions (the use of abbreviations and uninformative variable names make it harder to understand the code).6. Lack of comments/documentation (the code lacks proper comments and documentation, making it harder for other developers to understand its purpose and functionality).7. Inconsistent formatting (the use of inconsistent indentation and spacing can make the code harder to read and follow).		0	12504	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/clients/framework/location/internal/LocationCacheManager.java/#L399-L431	2	4676	12504
2781	public boolean paramsLacking() { return pkixParams.getAnyPolicyInhibited() || pkixParams.getPolicyMappingInhibited() || pkixParams.isExplicitPolicyRequired() || pkixParams.isPolicyMappingInhibited() || pkixParams.isAnyPolicyInhibited() || !pkixParams.getPolicyQualifiersRejected() || !pkixParams.getInitialPolicies().isEmpty(); } YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Primitive obsession 5. Inappropriate intimacy 6. Inconsistent naming 7. Temporary field 8. Comments 9. Shotgun surgery 10. Lazy class 11. Data class 12. Data clumps 13. Speculative generality 14. Message chains 15. Brain overload 16. Large class 17. Deficient encapsulation 18. Combinatorial explosion 19. Extensive coupling 20. Divergent change 21. Inappropriate subclass 22. Message chain	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: /* update subject DN */ subjectDN = cert.getSubjectX500Principal(); /* check for key needing to inherit alg parameters */ X509CertImpl icert = X509CertImpl.toImpl(cert); PublicKey newKey = cert.getPublicKey(); if (PKIX.isDSAPublicKeyWithoutParams(newKey)) { newKey = BasicChecker.makeInheritedParamsKey(newKey, pubKey); } /* update subject public key */ pubKey = newKey; /* * if this is a trusted cert (init == true), then we * don't update any of the remaining fields */ if (init) { init = false; return; } /* update subject key identifier */ subjKeyId = icert.getSubjectKeyIdentifierExtension(); /* update crlSign */ crlSign = RevocationChecker.certCanSignCrl(cert); /* update current name constraints */ if (nc != null) { nc.merge(icert.getNameConstraintsExtension()); } else { nc = icert.getNameConstraintsExtension(); if (nc != null) { // Make sure we do a clone here, because we're probably // going to modify this object later and we don't want to // be sharing it with a Certificate object! nc = (NameConstraintsExtension) nc.clone(); } } /* update policy state variables */ explicitPolicy = PolicyChecker.mergeExplicitPolicy(explicitPolicy, icert, false); policyMapping = PolicyChecker.mergePolicyMapping(policyMapping, icert); inhibitAnyPolicy = PolicyChecker.mergeInhibitAnyPolicy(inhibitAnyPolicy, icert); certIndex++; /* * Update remaining CA certs */ remainingCACerts = ConstraintsChecker.mergeBasicConstraints(cert, remainingCACerts); init = false; } /** * Returns a boolean flag indicating if a key lacking necessary key * algorithm parameters has been encountered. * * @return boolean flag indicating if key lacking parameters encountered. */	long method	Long method 2 Feature envy 3 Duplicate code 4 Primitive obsession 5 Inappropriate intimacy 6 Inconsistent naming 7 Temporary field 8 Comments 9 Shotgun surgery	t	f	t			0	1122	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/provider/certpath/ReverseState.java/#L284-L348	2	2781	1122
387	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	long method, feature envy	t	t	t	feature envy		0	3944	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	1	387	3944
1951	{"message": "YES I found bad smells", "bad smells are": ["Data Class", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean equals(TListSentryPrivilegesRequest that) { if (that == null) return false; boolean this_present_protocol_version = true; boolean that_present_protocol_version = true; if (this_present_protocol_version || that_present_protocol_version) { if (!(this_present_protocol_version && that_present_protocol_version)) return false; if (this.protocol_version != that.protocol_version) return false; } boolean this_present_requestorUserName = true && this.isSetRequestorUserName(); boolean that_present_requestorUserName = true && that.isSetRequestorUserName(); if (this_present_requestorUserName || that_present_requestorUserName) { if (!(this_present_requestorUserName && that_present_requestorUserName)) return false; if (!this.requestorUserName.equals(that.requestorUserName)) return false; } boolean this_present_roleName = true && this.isSetRoleName(); boolean that_present_roleName = true && that.isSetRoleName(); if (this_present_roleName || that_present_roleName) { if (!(this_present_roleName && that_present_roleName)) return false; if (!this.roleName.equals(that.roleName)) return false; } boolean this_present_authorizableHierarchy = true && this.isSetAuthorizableHierarchy(); boolean that_present_authorizableHierarchy = true && that.isSetAuthorizableHierarchy(); if (this_present_authorizableHierarchy || that_present_authorizableHierarchy) { if (!(this_present_authorizableHierarchy && that_present_authorizableHierarchy)) return false; if (!this.authorizableHierarchy.equals(that.authorizableHierarchy)) return false; } return true; }	long method	data class, long method	t	t	f	data class	long method	0	12534	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-provider/sentry-provider-db/src/gen/thrift/gen-javabean/org/apache/sentry/provider/db/service/thrift/TListSentryPrivilegesRequest.java/#L360-L401	1	1951	12534
276	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void paintComponent(Graphics g) { XPStyle xp = XPStyle.getXP(); paintTitleBackground(g); String title = frame.getTitle(); if (title != null) { boolean isSelected = frame.isSelected(); Font oldFont = g.getFont(); Font newFont = (titleFont != null) ? titleFont : getFont(); g.setFont(newFont); // Center text vertically. FontMetrics fm = SwingUtilities2.getFontMetrics(frame, g, newFont); int baseline = (getHeight() + fm.getAscent() - fm.getLeading() - fm.getDescent()) / 2; Rectangle lastIconBounds = new Rectangle(0, 0, 0, 0); if (frame.isIconifiable()) { lastIconBounds = iconButton.getBounds(); } else if (frame.isMaximizable()) { lastIconBounds = maxButton.getBounds(); } else if (frame.isClosable()) { lastIconBounds = closeButton.getBounds(); } int titleX; int titleW; int gap = 2; if (WindowsGraphicsUtils.isLeftToRight(frame)) { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getWidth() - frame.getInsets().right; } titleX = systemLabel.getX() + systemLabel.getWidth() + gap; if (xp != null) { titleX += 2; } titleW = lastIconBounds.x - titleX - gap; } else { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getInsets().left; } titleW = SwingUtilities2.stringWidth(frame, fm, title); int minTitleX = lastIconBounds.x + lastIconBounds.width + gap; if (xp != null) { minTitleX += 2; } int availableWidth = systemLabel.getX() - gap - minTitleX; if (availableWidth > titleW) { titleX = systemLabel.getX() - gap - titleW; } else { titleX = minTitleX; titleW = availableWidth; } } title = getTitle(frame.getTitle(), fm, titleW); if (xp != null) { String shadowType = null; if (isSelected) { shadowType = xp.getString(this, Part.WP_CAPTION, State.ACTIVE, Prop.TEXTSHADOWTYPE); } if ("single".equalsIgnoreCase(shadowType)) { Point shadowOffset = xp.getPoint(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWOFFSET); Color shadowColor = xp.getColor(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWCOLOR, null); if (shadowOffset != null && shadowColor != null) { g.setColor(shadowColor); SwingUtilities2.drawString(frame, g, title, titleX + shadowOffset.x, baseline + shadowOffset.y); } } } g.setColor(isSelected ? selectedTextColor : notSelectedTextColor); SwingUtilities2.drawString(frame, g, title, titleX, baseline); g.setFont(oldFont); } }	long method	long method, data class	t	t	t	data class		0	2964	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/windows/classes/com/sun/java/swing/plaf/windows/WindowsInternalFrameTitlePane.java/#L125-L205	1	276	2964
9	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected boolean validateToken(String token) { try { SignedJWT signed = SignedJWT.parse(token); boolean sigValid = validateSignature(signed); if (!sigValid) { LOGGER.warn("Signature of JWT token could not be verified. Please check the public key"); return false; } boolean expValid = validateExpiration(signed); if (!expValid) { LOGGER.warn("Expiration time validation of JWT token failed."); return false; } String currentUser = (String) org.apache.shiro.SecurityUtils.getSubject().getPrincipal(); if (currentUser == null) { return true; } String cookieUser = signed.getJWTClaimsSet().getSubject(); if (!cookieUser.equals(currentUser)) { return false; } return true; } catch (ParseException ex) { LOGGER.info("ParseException in validateToken", ex); return false; } }	long method	long method	t	t	t			0	612	https://github.com/apache/zeppelin/blob/4219d552349f8f7f3e6de34505b8a8ae9835f98b/zeppelin-server/src/main/java/org/apache/zeppelin/realm/jwt/KnoxJwtRealm.java/#L130-L156	1	9	612
1595	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Poor variable and method naming 4. Unnecessary commenting 5. Use of instanceof 6. Nested if/else blocks 7. Lack of proper comparison "strategy" 8. Unnecessary casting 9. Lack of clear separation of tasks/responsibilities 10. Possible code duplication 11. Missing error handling 12. Potential for null pointer exceptions 13. Lack of use of standard equals() method 14. Excessive amount of code wrapping	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static boolean evaluateImpl(Object o1, Object o2) { // TODO: maybe we need a comparison "strategy" here, instead of // a switch of all possible cases? ... there were other requests for // more relaxed type-unsafe comparison (e.g. numbers to strings) if (o1 == null && o2 == null) { return true; } else if (o1 != null) { // Per CAY-419 we perform 'in' comparison if one object is a list, and other is not if (o2 instanceof Collection) { for (Object element : ((Collection) o2)) { if (element != null && Evaluator.evaluator(element).eq(element, o1)) { return true; } } return false; } return Evaluator.evaluator(o1).eq(o1, o2); } return false; }	long method	Long method 2 Feature envy 3 Poor variable and method naming 4 Unnecessary commenting 5 Use of instanceof 6 Nested if/else blocks 7 Lack of proper comparison "strategy" 8 Unnecessary casting 9 Lack of clear separation of tasks/responsibilities	t	f	t			0	11408	https://github.com/apache/cayenne/blob/5be5235ed1c02589b6300e9729cf3c308c0173e8/cayenne-server/src/main/java/org/apache/cayenne/exp/parser/ASTEqual.java/#L76-L97	2	1595	11408
772	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public double correlation(final double[] xArray, final double[] yArray) throws DimensionMismatchException { if (xArray.length != yArray.length) { throw new DimensionMismatchException(xArray.length, yArray.length); } final int n = xArray.length; final long numPairs = sum(n - 1); @SuppressWarnings("unchecked") Pair[] pairs = new Pair[n]; for (int i = 0; i < n; i++) { pairs[i] = new Pair<>(xArray[i], yArray[i]); } Arrays.sort(pairs, new Comparator>() { /** {@inheritDoc} */ @Override public int compare(Pair pair1, Pair pair2) { int compareFirst = pair1.getFirst().compareTo(pair2.getFirst()); return compareFirst != 0 ? compareFirst : pair1.getSecond().compareTo(pair2.getSecond()); } }); long tiedXPairs = 0; long tiedXYPairs = 0; long consecutiveXTies = 1; long consecutiveXYTies = 1; Pair prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getFirst().equals(prev.getFirst())) { consecutiveXTies++; if (curr.getSecond().equals(prev.getSecond())) { consecutiveXYTies++; } else { tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } } else { tiedXPairs += sum(consecutiveXTies - 1); consecutiveXTies = 1; tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } prev = curr; } tiedXPairs += sum(consecutiveXTies - 1); tiedXYPairs += sum(consecutiveXYTies - 1); long swaps = 0; @SuppressWarnings("unchecked") Pair[] pairsDestination = new Pair[n]; for (int segmentSize = 1; segmentSize < n; segmentSize <<= 1) { for (int offset = 0; offset < n; offset += 2 * segmentSize) { int i = offset; final int iEnd = FastMath.min(i + segmentSize, n); int j = iEnd; final int jEnd = FastMath.min(j + segmentSize, n); int copyLocation = offset; while (i < iEnd || j < jEnd) { if (i < iEnd) { if (j < jEnd) { if (pairs[i].getSecond().compareTo(pairs[j].getSecond()) <= 0) { pairsDestination[copyLocation] = pairs[i]; i++; } else { pairsDestination[copyLocation] = pairs[j]; j++; swaps += iEnd - i; } } else { pairsDestination[copyLocation] = pairs[i]; i++; } } else { pairsDestination[copyLocation] = pairs[j]; j++; } copyLocation++; } } final Pair[] pairsTemp = pairs; pairs = pairsDestination; pairsDestination = pairsTemp; } long tiedYPairs = 0; long consecutiveYTies = 1; prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getSecond().equals(prev.getSecond())) { consecutiveYTies++; } else { tiedYPairs += sum(consecutiveYTies - 1); consecutiveYTies = 1; } prev = curr; } tiedYPairs += sum(consecutiveYTies - 1); final long concordantMinusDiscordant = numPairs - tiedXPairs - tiedYPairs + tiedXYPairs - 2 * swaps; final double nonTiedPairsMultiplied = (numPairs - tiedXPairs) * (double) (numPairs - tiedYPairs); return concordantMinusDiscordant / FastMath.sqrt(nonTiedPairsMultiplied); }	long method	Long method2 Feature envy	t	f	t			0	7285	https://github.com/apache/commons-math/blob/f3719d89ab6a928e8618bbe6a7da8214d9d6eb07/src/main/java/org/apache/commons/math4/stat/correlation/KendallsCorrelation.java/#L154-L261	2	772	7285
1518	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void startElement(final String uri, final String localName, final String qname, final Attributes attributes) throws SAXException { // Verify and initialize the context stack at root element. if (contextStack.size() == 0) { if (!qname.equals(rootElement)) { throw new SAXConfigurationException( new ConfigurationException.IncorrectElement(rootElement, qname, this.source, locator.getLineNumber()), locator); } String all = attributes.getValue("includeAllClasses"); if ("true".equals(all)) allClasses = true; contextStack.push(qname); return; } else { if (qname.equals("classEntry")) { String path = attributes.getValue("path"); includedClasses.add(path); } else if (qname.equals("namespaceManifestEntry")) { String manifest = attributes.getValue("manifest"); String namespace = attributes.getValue("namespace"); fbArgs.add("-namespace"); fbArgs.add(namespace); String mf = contextPath + "/" + manifest; File f = new File(mf); if (!f.exists()) { mf = contextPath + "/src/" + manifest; } fbArgs.add(mf); fbArgs.add("-include-namespaces"); fbArgs.add(namespace); } } }	long method	Long method 2 Feature envy	t	f	t			0	11170	https://github.com/apache/royale-compiler/blob/fbd9bc3b9e48c80dbd8c1d32a6f83221e314efdd/compiler-common/src/main/java/org/apache/royale/compiler/internal/config/FlashBuilderConfigurator.java/#L468-L510	2	1518	11170
351	{"response": "YES I found bad smells", "detected_bad_smells": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public short syncAll(short syncMode) { short syncState = SYNC_STATE_IN_SYNC; /* vnc classes need to be synchronized with cloudstack */ s_logger.debug("syncing cloudstack db with vnc"); try { for (Class cls : _vncClasses) { /* lock the sync mode*/ _lockSyncMode.lock(); _rwMode = syncMode == DBSyncGeneric.SYNC_MODE_UPDATE; _dbSync.setSyncMode(syncMode); if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check start: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync start: " + DBSyncGeneric.getClassName(cls)); } if (_dbSync.sync(cls) == false) { if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.info("out of sync detected: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.info("out of sync detected and re-synced: " + DBSyncGeneric.getClassName(cls)); } syncState = SYNC_STATE_OUT_OF_SYNC; } if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check finish: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync finish: " + DBSyncGeneric.getClassName(cls)); } /* unlock the sync mode */ _lockSyncMode.unlock(); } } catch (Exception ex) { s_logger.warn("DB Synchronization", ex); syncState = SYNC_STATE_UNKNOWN; if (_lockSyncMode.isLocked()) { _lockSyncMode.unlock(); } } return syncState; }	long method	1. long method	t	t	t			0	3600	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/juniper-contrail/src/main/java/org/apache/cloudstack/network/contrail/management/ServerDBSyncImpl.java/#L129-L174	1	351	3600
2070	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void Blit(SurfaceData src, SurfaceData dst, Composite comp, Region clip, int srcx, int srcy, int dstx, int dsty, int w, int h) { Raster srcRast = src.getRaster(srcx, srcy, w, h); IntegerComponentRaster icr = (IntegerComponentRaster) srcRast; int[] srcPix = icr.getDataStorage(); WritableRaster dstRast = (WritableRaster) dst.getRaster(dstx, dsty, w, h); ColorModel dstCM = dst.getColorModel(); Region roi = CustomComponent.getRegionOfInterest(src, dst, clip, srcx, srcy, dstx, dsty, w, h); SpanIterator si = roi.getSpanIterator(); Object dstPix = null; int srcScan = icr.getScanlineStride(); // assert(icr.getPixelStride() == 1); srcx -= dstx; srcy -= dsty; int[] span = new int[4]; while (si.nextSpan(span)) { int rowoff = (icr.getDataOffset(0) + (srcy + span[1]) * srcScan + (srcx + span[0])); for (int y = span[1]; y < span[3]; y++) { int off = rowoff; for (int x = span[0]; x < span[2]; x++) { dstPix = dstCM.getDataElements(srcPix[off++], dstPix); dstRast.setDataElements(x, y, dstPix); } rowoff += srcScan; } } // REMIND: We need to do something to make sure that dstRast // is put back to the destination (as in the native Release // function) // src.releaseRaster(srcRast); // NOP? // dst.releaseRaster(dstRast); }	long method	long method	t	t	t			0	13017	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/sun/java2d/loops/CustomComponent.java/#L171-L213	1	2070	13017
1615	{"answer": "YES I found bad smells", "detected_bad_smells": ["Data Class", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void sessionEnd0(@Nullable IgniteInternalTx tx, boolean threwEx) throws IgniteCheckedException { try { if (tx == null) { if (sesLsnrs != null && sesHolder.get().contains(store)) { for (CacheStoreSessionListener lsnr : sesLsnrs) lsnr.onSessionEnd(locSes, !threwEx); } if (!sesHolder.get().ended(store)) store.sessionEnd(!threwEx); } } catch (Exception e) { if (!threwEx) throw U.cast(e); } finally { if (sesHolder != null) sesHolder.set(null); } }	long method	Data Class, Long Method	t	f	t	Data Class		0	11472	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/store/GridCacheStoreManagerAdapter.java/#L928-L948	1	1615	11472
2607	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static List getUserDetails(String query) { List details = new ArrayList(); if (query != null && !query.isEmpty()) { StringTokenizer allParams = new StringTokenizer(query, "&"); while (allParams.hasMoreTokens()) { String param = allParams.nextToken(); details.add(new BasicNameValuePair(param.substring(0, param.indexOf("=")), param.substring(param.indexOf("=") + 1))); } } return details; }	long method	long method	t	t	t			0	15030	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/utils/src/main/java/com/cloud/utils/UriUtils.java/#L198-L210	1	2607	15030
2177	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	1. long method	t	t	t			0	13408	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	1	2177	13408
345	{ "response": "YES I found bad smells", "detected_bad_smells": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void doSmapText(Node n) { String text = n.getText(); int index = 0; int next = 0; int lineCount = 1; int skippedLines = 0; boolean slashStarSeen = false; boolean beginning = true; // Count lines inside text, but skipping comment lines at the // beginning of the text. while ((next = text.indexOf('\n', index)) > -1) { if (beginning) { String line = text.substring(index, next).trim(); if (!slashStarSeen && line.startsWith("/*")) { slashStarSeen = true; } if (slashStarSeen) { skippedLines++; int endIndex = line.indexOf("*/"); if (endIndex >= 0) { // End of /* */ comment slashStarSeen = false; if (endIndex < line.length() - 2) { // Some executable code after comment skippedLines--; beginning = false; } } } else if (line.length() == 0 || line.startsWith("//")) { skippedLines++; } else { beginning = false; } } lineCount++; index = next + 1; } doSmap(n, lineCount, 1, skippedLines); }	long method	1. long method, 2. data class	t	t	f	2. data class	long method	0	3519	https://github.com/apache/struts/blob/e82c5a207f62fdb1bb6e8da690325b5a109c924f/plugins/embeddedjsp/src/main/java/org/apache/struts2/jasper/compiler/SmapUtil.java/#L664-L704	1	345	3519
1043	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void start(Stage stage) { try { // create splitPane pane and JavaFX app scene SplitPane splitPane = new SplitPane(); splitPane.setOrientation(Orientation.VERTICAL); Scene fxScene = new Scene(splitPane); // set title, size, and add JavaFX scene to stage stage.setTitle("Feature Layer Rendering Mode Map Sample"); stage.setWidth(800); stage.setHeight(700); stage.setScene(fxScene); stage.show(); // create a map (top) and set it to render all features in static rendering mode ArcGISMap mapTop = new ArcGISMap(); mapTop.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); // create a map (bottom) and set it to render all features in dynamic rendering mode ArcGISMap mapBottom = new ArcGISMap(); mapBottom.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); // creating top map view mapViewTop = new MapView(); mapViewTop.setMap(mapTop); splitPane.getItems().add(mapViewTop); // creating bottom map view mapViewBottom = new MapView(); mapViewBottom.setMap(mapBottom); splitPane.getItems().add(mapViewBottom); // create service feature table using a point, polyline, and polygon service ServiceFeatureTable pointServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/0"); ServiceFeatureTable polylineServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/8"); ServiceFeatureTable polygonServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/9"); // create feature layer from service feature tables FeatureLayer pointFeatureLayer = new FeatureLayer(pointServiceFeatureTable); FeatureLayer polylineFeatureLayer = new FeatureLayer(polylineServiceFeatureTable); FeatureLayer polygonFeatureLayer = new FeatureLayer(polygonServiceFeatureTable); // add each layer to top and bottom map mapTop.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer, polylineFeatureLayer, polygonFeatureLayer)); mapBottom.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer.copy(), polylineFeatureLayer.copy(), polygonFeatureLayer.copy())); // viewpoint locations for map view to zoom in and out to Viewpoint zoomOutPoint = new Viewpoint(new Point(-118.37, 34.46, SpatialReferences.getWgs84()), 650000, 0); Viewpoint zoomInPoint = new Viewpoint(new Point(-118.45, 34.395, SpatialReferences.getWgs84()), 50000, 90); mapViewTop.setViewpoint(zoomOutPoint); mapViewBottom.setViewpoint(zoomOutPoint); //loop an animation into and out from the zoom in point (5 seconds each) with a 2 second gap between zooming timeline = new Timeline(); timeline.setCycleCount(Animation.INDEFINITE); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(7), event -> zoomTo(zoomInPoint))); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(14), event -> zoomTo(zoomOutPoint))); timeline.play(); } catch (Exception e) { // on any error, display the stack trace. e.printStackTrace(); } }	long method	1. long method	t	t	t			0	9446	https://github.com/Esri/arcgis-runtime-samples-java/blob/c7a0b309586495ff9cc9dbed129e411943547793/src/main/java/com/esri/samples/featurelayers/feature_layer_rendering_mode_map/FeatureLayerRenderingModeMapSample.java/#L45-L114	1	1043	9446
450	{"output":"YES I found bad smells, the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("unchecked") protected Map>[] handleBulkLoad(List sTableList) throws IOException { Map>[] mapForSrc = new Map[sTableList.size()]; List activeFiles = new ArrayList<>(); List archiveFiles = new ArrayList<>(); Pair>>>>, List> pair = backupManager.readBulkloadRows(sTableList); Map>>>> map = pair.getFirst(); FileSystem tgtFs; try { tgtFs = FileSystem.get(new URI(backupInfo.getBackupRootDir()), conf); } catch (URISyntaxException use) { throw new IOException("Unable to get FileSystem", use); } Path rootdir = FSUtils.getRootDir(conf); Path tgtRoot = new Path(new Path(backupInfo.getBackupRootDir()), backupId); for (Map.Entry>>>> tblEntry : map.entrySet()) { TableName srcTable = tblEntry.getKey(); int srcIdx = getIndex(srcTable, sTableList); if (srcIdx < 0) { LOG.warn("Couldn't find " + srcTable + " in source table List"); continue; } if (mapForSrc[srcIdx] == null) { mapForSrc[srcIdx] = new TreeMap<>(Bytes.BYTES_COMPARATOR); } Path tblDir = FSUtils.getTableDir(rootdir, srcTable); Path tgtTable = new Path(new Path(tgtRoot, srcTable.getNamespaceAsString()), srcTable.getQualifierAsString()); for (Map.Entry>>> regionEntry : tblEntry.getValue().entrySet()){ String regionName = regionEntry.getKey(); Path regionDir = new Path(tblDir, regionName); // map from family to List of hfiles for (Map.Entry>> famEntry : regionEntry.getValue().entrySet()) { String fam = famEntry.getKey(); Path famDir = new Path(regionDir, fam); List files; if (!mapForSrc[srcIdx].containsKey(Bytes.toBytes(fam))) { files = new ArrayList<>(); mapForSrc[srcIdx].put(Bytes.toBytes(fam), files); } else { files = mapForSrc[srcIdx].get(Bytes.toBytes(fam)); } Path archiveDir = HFileArchiveUtil.getStoreArchivePath(conf, srcTable, regionName, fam); String tblName = srcTable.getQualifierAsString(); Path tgtFam = new Path(new Path(tgtTable, regionName), fam); if (!tgtFs.mkdirs(tgtFam)) { throw new IOException("couldn't create " + tgtFam); } for (Pair fileWithState : famEntry.getValue()) { String file = fileWithState.getFirst(); int idx = file.lastIndexOf("/"); String filename = file; if (idx > 0) { filename = file.substring(idx+1); } Path p = new Path(famDir, filename); Path tgt = new Path(tgtFam, filename); Path archive = new Path(archiveDir, filename); if (fs.exists(p)) { if (LOG.isTraceEnabled()) { LOG.trace("found bulk hfile " + file + " in " + famDir + " for " + tblName); } if (LOG.isTraceEnabled()) { LOG.trace("copying " + p + " to " + tgt); } activeFiles.add(p.toString()); } else if (fs.exists(archive)){ LOG.debug("copying archive " + archive + " to " + tgt); archiveFiles.add(archive.toString()); } files.add(tgt); } } } } copyBulkLoadedFiles(activeFiles, archiveFiles); backupManager.deleteBulkLoadedRows(pair.getSecond()); return mapForSrc; }	long method	1. long method	t	t	f		long method	0	4392	https://github.com/apache/hbase/blob/44f8abd5c65c59e9d09f6ad14b3c825f145d8e4f/hbase-backup/src/main/java/org/apache/hadoop/hbase/backup/impl/IncrementalTableBackupClient.java/#L115-L201	1	450	4392
2166	Yes, I found bad smells(the bad smells are: 1. Long method 2. Data class 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	Long method2 Data class3 Feature envy	t	f	t			0	13348	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	2	2166	13348
2652	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	long method	t	t	t			0	15177	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	1	2652	15177
4359	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Future monitorUntil(final ActiveAnnotationContext ctx, final CancelIndicator cancelIndicator, final Function0 isFinished) { Future _xblockexpression = null; { final Runnable _function = () -> { try { while ((!(isFinished.apply()).booleanValue())) { { boolean _isCanceled = cancelIndicator.isCanceled(); if (_isCanceled) { CompilationUnitImpl _compilationUnit = ctx.getCompilationUnit(); _compilationUnit.setCanceled(true); return; } Thread.sleep(100); } } } catch (Throwable _e) { throw Exceptions.sneakyThrow(_e); } }; final Runnable r = _function; Future _xtrycatchfinallyexpression = null; try { _xtrycatchfinallyexpression = this.pool.submit(r); } catch (final Throwable _t) { if (_t instanceof RejectedExecutionException) { final RejectedExecutionException e = (RejectedExecutionException)_t; AnnotationProcessor.CancellationObserver.log.debug(e.getMessage(), e); new Thread(r).start(); } else { throw Exceptions.sneakyThrow(_t); } } _xblockexpression = _xtrycatchfinallyexpression; } return _xblockexpression; }	long method	Long method2 Feature envy	t	f	t			0	11504	https://github.com/eclipse/xtext-xtend/blob/20500a324127e3ee73cb793a13430ee140246fa7/org.eclipse.xtend.core/xtend-gen/org/eclipse/xtend/core/macro/AnnotationProcessor.java/#L69-L105	2	4359	11504
1885	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Inconsistent formatting and whitespace (inconsistent use of tabs/spaces) 4. Mixing of logging and exception handling in same method 5. Catching generic Exception class instead of specific exceptions 6. Use of instanceof operator 7. Nested, complex logic 8. Lack of proper error handling and messaging 9. Code duplication 10. Poor variable naming 11. Unnecessary use of Hashmap and casting 12. Unused variables 13. Inefficient use of EntityManager 14. Nested try-catch blocks 15. Inconsistent use of brackets/indentation 16. Fragile code (e.g. using string literals instead of constants)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean isExists(Object identifier) throws AppCatalogException { HashMap ids; if (identifier instanceof Map) { ids = (HashMap) identifier; } else { logger.error("Identifier should be a map with the field name and it's value"); throw new AppCatalogException("Identifier should be a map with the field name and it's value"); } EntityManager em = null; try { em = AppCatalogJPAUtils.getEntityManager(); ComputeResourcePreference existingPreference = em.find(ComputeResourcePreference.class, new ComputeResourcePreferencePK(ids.get(ComputeResourcePreferenceConstants.GATEWAY_ID), ids.get(ComputeResourcePreferenceConstants.RESOURCE_ID))); if (em.isOpen()) { if (em.getTransaction().isActive()){ em.getTransaction().rollback(); } em.close(); } return existingPreference != null; }catch (Exception e) { logger.error(e.getMessage(), e); throw new AppCatalogException(e); } finally { if (em != null && em.isOpen()) { if (em.getTransaction().isActive()) { em.getTransaction().rollback(); } em.close(); } } }	long method	Long method 2 Feature envy3 Inconsistent formatting and whitespace (inconsistent use of tabs/spaces)4 Mixing of logging and exception handling in same method5 Catching generic Exception class instead of specific exceptions6 Use of instanceof operator7 Nested, complex logic 8 Lack of proper error handling and messaging9 Code duplication	t	f	t	complex logic 8. Lack of proper error handling and messaging9. Code duplication		0	12293	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-core/src/main/java/org/apache/airavata/registry/core/app/catalog/resources/ComputeHostPreferenceResource.java/#L522-L556	2	1885	12293
762	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static int reconfigureNetworking() { // This uses values from the property settings if (Sage.getBoolean(NET_CONFIG_WIRED, true)) { // Bring down the wireless interface if it's there bringDownWireless(); setupNetworking(Sage.get("linux/wired_network_port", "eth0")); } else { // Bring down the wired interface if it's there if (Sage.getBoolean("linux/disable_wired_when_wireless_is_enabled", false)) bringDownWired(); // Be sure the wired interface is loaded (it may need to be before it is configured) IOUtils.exec2("ifconfig " + Sage.get("linux/wireless_network_port", "eth1") + " up"); // Setup the wireless networking properties before we try to connect to the network or it won't work IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " essid " + Sage.get(NET_CONFIG_SSID, "any")); String crypto = Sage.get(NET_CONFIG_ENCRYPTION, "WPA"); if ("None".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key off"); } else { // Check if the key is all hex String key = Sage.get(NET_CONFIG_ENCRYPTION_KEY, ""); boolean hexKey = true; for (int i = 0; i < key.length(); i++) { if (Character.digit(key.charAt(i), 16) < 0) { hexKey = false; break; } } if ("WEP".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key on"); if (hexKey) IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key " + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); else IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key s:" + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); } else // WPA { // NOT FINISHED YET, we'll need to setup a configuration file for wpa_supplicant and then run it } } setupNetworking(Sage.get("linux/wireless_network_port", "eth1")); } return 0; }	long method	long method, data class	t	t	t	data class		0	7113	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/LinuxUtils.java/#L51-L108	1	762	7113
2257	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy, 3. Duplicate code, 4. Magic numbers, 5. Deeply nested code, 6. Inconsistent formatting, 7. Coupling, 8. Lava flow code, 9. Cognitive complexity.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void parseQuotedValue(byte prev) throws IOException { final byte newLine = this.newLine; final byte delimiter = this.delimiter; final TextOutput output = this.output; final TextInput input = this.input; final byte quote = this.quote; ch = input.nextCharNoNewLineCheck(); while (!(prev == quote && (ch == delimiter || ch == newLine || isWhite(ch)))) { if (ch != quote) { if (prev == quote) { // unescaped quote detected if (parseUnescapedQuotes) { output.append(quote); output.append(ch); parseQuotedValue(ch); break; } else { throw new TextParsingException( context, "Unescaped quote character '" + quote + "' inside quoted value of CSV field. To allow unescaped quotes, set 'parseUnescapedQuotes' to 'true' in the CSV parser settings. Cannot parse CSV input."); } } output.append(ch); prev = ch; } else if (prev == quoteEscape) { output.append(quote); prev = NULL_BYTE; } else { prev = ch; } ch = input.nextCharNoNewLineCheck(); } // Handles whitespaces after quoted value: // Whitespaces are ignored (i.e., ch <= ' ') if they are not used as delimiters (i.e., ch != ' ') // For example, in tab-separated files (TSV files), '\t' is used as delimiter and should not be ignored // Content after whitespaces may be parsed if 'parseUnescapedQuotes' is enabled. if (ch != newLine && ch <= ' ' && ch != delimiter) { final DrillBuf workBuf = this.workBuf; workBuf.resetWriterIndex(); do { // saves whitespaces after value workBuf.writeByte(ch); ch = input.nextChar(); // found a new line, go to next record. if (ch == newLine) { return; } } while (ch <= ' ' && ch != delimiter); // there's more stuff after the quoted value, not only empty spaces. if (!(ch == delimiter || ch == newLine) && parseUnescapedQuotes) { output.append(quote); for(int i =0; i < workBuf.writerIndex(); i++){ output.append(workBuf.getByte(i)); } // the next character is not the escape character, put it there if (ch != quoteEscape) { output.append(ch); } // sets this character as the previous character (may be escaping) // calls recursively to keep parsing potentially quoted content parseQuotedValue(ch); } } if (!(ch == delimiter || ch == newLine)) { throw new TextParsingException(context, "Unexpected character '" + ch + "' following quoted value of CSV field. Expecting '" + delimiter + "'. Cannot parse CSV input."); } }	long method	Long method, 2 Feature envy, 3 Duplicate code, 4 Magic numbers, 5 Deeply nested code, 6 Inconsistent formatting, 7 Coupling, 8 Lava flow code, 9 Cognitive complexity	t	f	t	2. Feature envy, 3. Duplicate code, 4. Magic numbers, 5. Deeply nested code, 6. Inconsistent formatting, 7. Coupling, 8. Lava flow code, 9. Cognitive complexity.		0	13693	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/store/easy/text/compliant/TextReader.java/#L226-L300	2	2257	13693
1262	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String shortenDbName(String dbName, int desiredLength) { StringBuilder dbBuf = new StringBuilder(dbName); if (dbBuf.length() > desiredLength) { // remove one vowel at a time, starting at beginning for (int i = dbBuf.length() - 1; i > 0; i--) { // don't remove vowels that are at the beginning of the string (taken care of by the i > 0) or right after an underscore if (dbBuf.charAt(i - 1) == '_') { continue; } char curChar = dbBuf.charAt(i); if (vowelBag.indexOf(curChar) > 0) { dbBuf.deleteCharAt(i); } } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { boolean removedChars = false; int usIndex = dbBuf.lastIndexOf("_"); while (usIndex > 0 && dbBuf.length() > desiredLength) { // if this is the first word in the group, don't pull letters off unless it is 4 letters or more int prevUsIndex = dbBuf.lastIndexOf("_", usIndex - 1); if (prevUsIndex < 0 && usIndex < 4) { break; } // don't remove characters to reduce the size two less than three characters between underscores if (prevUsIndex >= 0 && (usIndex - prevUsIndex) <= 4) { usIndex = prevUsIndex; continue; } // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(usIndex - 2); removedChars = true; if (usIndex > 2) { usIndex = dbBuf.lastIndexOf("_", usIndex - 2); } else { break; } } // now delete the char at the end of the string if necessary if (dbBuf.length() > desiredLength) { int removeIndex = dbBuf.length() - 1; int prevRemoveIndex = dbBuf.lastIndexOf("_", removeIndex - 1); // don't remove characters to reduce the size two less than two characters between underscores if (prevRemoveIndex < 0 || (removeIndex - prevRemoveIndex) >= 3) { // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(removeIndex - 1); removedChars = true; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); removedChars = true; } // if we didn't remove anything break out to avoid an infinite loop if (!removedChars) { break; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { // still not short enough, get more aggressive // don't remove the first segment, just remove the second over and over until we are short enough int firstUs = dbBuf.indexOf("_"); if (firstUs > 0) { int nextUs = dbBuf.indexOf("_", firstUs + 1); if (nextUs > 0) { //Debug.logInfo("couldn't shorten enough normally, removing second segment from " + dbBuf, module); dbBuf.delete(firstUs, nextUs); } } } //Debug.logInfo("Shortened " + dbName + " to " + dbBuf.toString(), module); return dbBuf.toString(); }	long method	long method	t	t	t			0	10513	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/entity/src/main/java/org/apache/ofbiz/entity/model/ModelUtil.java/#L155-L248	1	1262	10513
5773	{"response":"YES I found bad smells","bad smells are:":"1. Long method, 2. Feature envy"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void configureInputJobProperties(TableDesc tableDesc, Map jobProperties) { try { Map tableProperties = tableDesc.getJobProperties(); String jobInfoProperty = tableProperties.get(HCatConstants.HCAT_KEY_JOB_INFO); if (jobInfoProperty != null) { LinkedList inputJobInfos = (LinkedList) HCatUtil.deserialize( jobInfoProperty); if (inputJobInfos == null || inputJobInfos.isEmpty()) { throw new IOException("No InputJobInfo was set in job config"); } InputJobInfo inputJobInfo = inputJobInfos.getLast(); HCatTableInfo tableInfo = inputJobInfo.getTableInfo(); HCatSchema dataColumns = tableInfo.getDataColumns(); List dataFields = dataColumns.getFields(); StringBuilder columnNamesSb = new StringBuilder(); StringBuilder typeNamesSb = new StringBuilder(); for (HCatFieldSchema dataField : dataFields) { if (columnNamesSb.length() > 0) { columnNamesSb.append(","); typeNamesSb.append(":"); } columnNamesSb.append(dataField.getName()); typeNamesSb.append(dataField.getTypeString()); } jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS, columnNamesSb.toString()); jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS_TYPES, typeNamesSb.toString()); boolean isTransactionalTable = AcidUtils.isTablePropertyTransactional(tableProperties); AcidUtils.AcidOperationalProperties acidOperationalProperties = AcidUtils.getAcidOperationalProperties(tableProperties); AcidUtils.setAcidOperationalProperties( jobProperties, isTransactionalTable, acidOperationalProperties); } } catch (IOException e) { throw new IllegalStateException("Failed to set output path", e); } }	long method	1. long method, 2. feature envy	t	t	f	2. feature envy	long method	0	14885	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/hcatalog/core/src/main/java/org/apache/hive/hcatalog/mapreduce/FosterStorageHandler.java/#L107-L150	2	5773	14885
4398	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void startElement(final String uri, final String localName, final String qname, final Attributes attributes) throws SAXException { // Verify and initialize the context stack at root element. if (contextStack.size() == 0) { if (!qname.equals(rootElement)) { throw new SAXConfigurationException( new ConfigurationException.IncorrectElement(rootElement, qname, this.source, locator.getLineNumber()), locator); } String all = attributes.getValue("includeAllClasses"); if ("true".equals(all)) allClasses = true; contextStack.push(qname); return; } else { if (qname.equals("classEntry")) { String path = attributes.getValue("path"); includedClasses.add(path); } else if (qname.equals("namespaceManifestEntry")) { String manifest = attributes.getValue("manifest"); String namespace = attributes.getValue("namespace"); fbArgs.add("-namespace"); fbArgs.add(namespace); String mf = contextPath + "/" + manifest; File f = new File(mf); if (!f.exists()) { mf = contextPath + "/src/" + manifest; } fbArgs.add(mf); fbArgs.add("-include-namespaces"); fbArgs.add(namespace); } } }	long method	long method, data class	t	t	t	data class		0	11629	https://github.com/apache/royale-compiler/blob/fbd9bc3b9e48c80dbd8c1d32a6f83221e314efdd/compiler-common/src/main/java/org/apache/royale/compiler/internal/config/FlashBuilderConfigurator.java/#L468-L510	1	4398	11629
1528	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void registerProjectsToFileBasedWorkspace(Iterable projectURIs, FileBasedWorkspace workspace) throws N4JSCompileException { // TODO GH-783 refactor FileBasedWorkspace, https://github.com/eclipse/n4js/issues/783 // this is reverse mapping of the one that is kept in the workspace Map registeredProjects = new HashMap<>(); workspace.getAllProjectLocationsIterator().forEachRemaining(uri -> { String projectName = workspace.getProjectDescription(uri).getProjectName(); registeredProjects.put(projectName, URIUtils.normalize(uri)); }); // register all projects with the file based workspace. for (URI uri : projectURIs) { URI projectURI = URIUtils.normalize(uri); final ProjectDescription projectDescription = projectDescriptionLoader .loadProjectDescriptionAtLocation(projectURI); if (projectDescription == null) { throw new N4JSCompileException( "Cannot load project description for project at " + projectURI.toFileString() + ". Make sure the project contains a valid package.json file."); } final String projectName = projectDescription.getProjectName(); if (skipRegistering(projectName, projectURI, registeredProjects)) { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Skipping already registered project '" + projectURI + "'"); } /* * We could call FileBasedWorkspace.registerProject which would fail silently. Still to avoid potential * side effects and to keep {@code registeredProjects} management simpler,we will skip it explicitly. */ continue; } try { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Registering project '" + projectURI + "'"); } workspace.registerProject(projectURI); registeredProjects.put(projectName, projectURI); } catch (N4JSBrokenProjectException e) { throw new N4JSCompileException("Unable to register project '" + projectURI + "'", e); } } }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11199	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.generator.headless/src/org/eclipse/n4js/generator/headless/HeadlessHelper.java/#L82-L129	1	1528	11199
1887	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: TreeNodeChildren(final TreeNode parent, final Object metadata, final PropertyAccessor accessor) { this.parent = parent; this.metadata = metadata; this.accessor = accessor; this.children = new TreeNode[accessor.count()]; /* * Search for something that looks like the main property, to be associated with the parent node * instead than provided as a child. The intent is to have more compact and easy to read trees. * That property shall be a singleton for a simple value (not another metadata object). */ if (parent.table.valuePolicy == ValueExistencePolicy.COMPACT) { TitleProperty an = accessor.implementation.getAnnotation(TitleProperty.class); if (an == null) { Class implementation = parent.table.standard.getImplementation(accessor.type); if (implementation != null) { an = implementation.getAnnotation(TitleProperty.class); } } if (an != null) { final int index = accessor.indexOf(an.name(), false); final Class type = accessor.type(index, TypeValuePolicy.ELEMENT_TYPE); if (type != null && !parent.isMetadata(type) && type == accessor.type(index, TypeValuePolicy.PROPERTY_TYPE)) { titleProperty = index; return; } } } titleProperty = -1; }	long method	Long method2 Feature envy	t	f	t			0	12299	https://github.com/apache/sis/blob/002121abc9b9826fbd51fac7150b3ee0c02cc88b/core/sis-metadata/src/main/java/org/apache/sis/metadata/TreeNodeChildren.java/#L137-L165	2	1887	12299
1173	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public CallableStatement prepareCall(String sql) throws SQLException { checkState(); PreparedStatementHolder stmtHolder = null; PreparedStatementKey key = new PreparedStatementKey(sql, getCatalog(), MethodType.Precall_1); boolean poolPreparedStatements = holder.isPoolPreparedStatements(); if (poolPreparedStatements) { stmtHolder = holder.getStatementPool().get(key); } if (stmtHolder == null) { try { stmtHolder = new PreparedStatementHolder(key, conn.prepareCall(sql)); holder.getDataSource().incrementPreparedStatementCount(); } catch (SQLException ex) { handleException(ex, sql); } } initStatement(stmtHolder); DruidPooledCallableStatement rtnVal = new DruidPooledCallableStatement(this, stmtHolder); holder.addTrace(rtnVal); return rtnVal; }	long method	Long method2 Feature envy	t	f	t			0	10199	https://github.com/alibaba/druid/blob/768469fe4d1340efe1036453366a58c9ab7e30d1/src/main/java/com/alibaba/druid/pool/DruidPooledConnection.java/#L534-L563	2	1173	10199
517	{ "message": "YES I found bad smells", "badSmells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static ResolvableType forType( @Nullable Type type, @Nullable TypeProvider typeProvider, @Nullable VariableResolver variableResolver) { if (type == null && typeProvider != null) { type = SerializableTypeWrapper.forTypeProvider(typeProvider); } if (type == null) { return NONE; } // For simple Class references, build the wrapper right away - // no expensive resolution necessary, so not worth caching... if (type instanceof Class) { return new ResolvableType(type, typeProvider, variableResolver, (ResolvableType) null); } // Purge empty entries on access since we don't have a clean-up thread or the like. cache.purgeUnreferencedEntries(); // Check the cache - we may have a ResolvableType which has been resolved before... ResolvableType resultType = new ResolvableType(type, typeProvider, variableResolver); ResolvableType cachedType = cache.get(resultType); if (cachedType == null) { cachedType = new ResolvableType(type, typeProvider, variableResolver, resultType.hash); cache.put(cachedType, cachedType); } resultType.resolved = cachedType.resolved; return resultType; }	long method	long method	t	t	t			0	5350	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-core/src/main/java/org/springframework/core/ResolvableType.java/#L1394-L1422	1	517	5350
4086	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	long method	t	t	t			0	10775	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	1	4086	10775
4232	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @Nullable public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { // Invocation on EntityManager interface coming in... if (method.getName().equals("equals")) { // Only consider equal when proxies are identical. return (proxy == args[0]); } else if (method.getName().equals("hashCode")) { // Use hashCode of EntityManager proxy. return hashCode(); } else if (method.getName().equals("toString")) { // Deliver toString without touching a target EntityManager. return "Shared EntityManager proxy for target factory [" + this.targetFactory + "]"; } else if (method.getName().equals("getEntityManagerFactory")) { // JPA 2.0: return EntityManagerFactory without creating an EntityManager. return this.targetFactory; } else if (method.getName().equals("getCriteriaBuilder") || method.getName().equals("getMetamodel")) { // JPA 2.0: return EntityManagerFactory's CriteriaBuilder/Metamodel (avoid creation of EntityManager) try { return EntityManagerFactory.class.getMethod(method.getName()).invoke(this.targetFactory); } catch (InvocationTargetException ex) { throw ex.getTargetException(); } } else if (method.getName().equals("unwrap")) { // JPA 2.0: handle unwrap method - could be a proxy match. Class targetClass = (Class) args[0]; if (targetClass != null && targetClass.isInstance(proxy)) { return proxy; } } else if (method.getName().equals("isOpen")) { // Handle isOpen method: always return true. return true; } else if (method.getName().equals("close")) { // Handle close method: suppress, not valid. return null; } else if (method.getName().equals("getTransaction")) { throw new IllegalStateException( "Not allowed to create transaction on shared EntityManager - " + "use Spring transactions or EJB CMT instead"); } // Determine current EntityManager: either the transactional one // managed by the factory or a temporary one for the given invocation. EntityManager target = EntityManagerFactoryUtils.doGetTransactionalEntityManager( this.targetFactory, this.properties, this.synchronizedWithTransaction); if (method.getName().equals("getTargetEntityManager")) { // Handle EntityManagerProxy interface. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } return target; } else if (method.getName().equals("unwrap")) { Class targetClass = (Class) args[0]; if (targetClass == null) { return (target != null ? target : proxy); } // We need a transactional target now. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } // Still perform unwrap call on target EntityManager. } else if (transactionRequiringMethods.contains(method.getName())) { // We need a transactional target now, according to the JPA spec. // Otherwise, the operation would get accepted but remain unflushed... if (target == null || (!TransactionSynchronizationManager.isActualTransactionActive() && !target.getTransaction().isActive())) { throw new TransactionRequiredException("No EntityManager with actual transaction available " + "for current thread - cannot reliably process '" + method.getName() + "' call"); } } // Regular EntityManager operations. boolean isNewEm = false; if (target == null) { logger.debug("Creating new EntityManager for shared EntityManager invocation"); target = (!CollectionUtils.isEmpty(this.properties) ? this.targetFactory.createEntityManager(this.properties) : this.targetFactory.createEntityManager()); isNewEm = true; } // Invoke method on current EntityManager. try { Object result = method.invoke(target, args); if (result instanceof Query) { Query query = (Query) result; if (isNewEm) { Class[] ifcs = ClassUtils.getAllInterfacesForClass(query.getClass(), this.proxyClassLoader); result = Proxy.newProxyInstance(this.proxyClassLoader, ifcs, new DeferredQueryInvocationHandler(query, target)); isNewEm = false; } else { EntityManagerFactoryUtils.applyTransactionTimeout(query, this.targetFactory); } } return result; } catch (InvocationTargetException ex) { throw ex.getTargetException(); } finally { if (isNewEm) { EntityManagerFactoryUtils.closeEntityManager(target); } } }	long method	long method	t	t	t			0	11137	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-orm/src/main/java/org/springframework/orm/jpa/SharedEntityManagerCreator.java/#L212-L331	1	4232	11137
743	{ "output": "YES, I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void writeTransactionResponse(ResponseCode response, String explanation) throws IOException { HttpCommunicationsSession commSession = (HttpCommunicationsSession) peer.getCommunicationsSession(); if(TransferDirection.RECEIVE.equals(direction)){ switch (response) { case CONFIRM_TRANSACTION: logger.debug("{} Confirming transaction. checksum={}", this, explanation); commSession.setChecksum(explanation); break; case TRANSACTION_FINISHED: logger.debug("{} Finishing transaction.", this); break; case CANCEL_TRANSACTION: logger.debug("{} Canceling transaction. explanation={}", this, explanation); TransactionResultEntity resultEntity = apiClient.commitReceivingFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION, null); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } break; } } else { switch (response) { case FINISH_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Finished sending flow files.", this); break; case BAD_CHECKSUM: { TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.BAD_CHECKSUM); ResponseCode badChecksumCancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (badChecksumCancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} BAD_CHECKSUM, The transaction is canceled on server properly.", this); break; default: logger.warn("{} BAD_CHECKSUM, Expected the transaction is canceled on server, but received {}.", this, badChecksumCancelResponse); break; } } break; case CONFIRM_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Transaction is confirmed.", this); break; case CANCEL_TRANSACTION: { logger.debug("{} Canceling transaction.", this); TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } } break; } } }	long method	long method, feature envy	t	t	t	feature envy		0	6978	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-commons/nifi-site-to-site-client/src/main/java/org/apache/nifi/remote/protocol/http/HttpClientTransaction.java/#L110-L176	1	743	6978
2519	{ "message": "YES I found bad smells the bad smells are:", "detected_bad_smells": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	1. long method, 2. data class	t	t	t	2. data class		0	14706	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	1	2519	14706
1544	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void configure(TestElement el) { setName(el.getName()); Arguments arguments = (Arguments) el.getProperty(HTTPSamplerBase.ARGUMENTS).getObjectValue(); boolean useRaw = el.getPropertyAsBoolean(HTTPSamplerBase.POST_BODY_RAW, HTTPSamplerBase.POST_BODY_RAW_DEFAULT); if(useRaw) { String postBody = computePostBody(arguments, true); // Convert CRLF to CR, see modifyTestElement postBodyContent.setInitialText(postBody); postBodyContent.setCaretPosition(0); argsPanel.clear(); postContentTabbedPane.setSelectedIndex(tabRawBodyIndex, false); } else { postBodyContent.setInitialText(""); argsPanel.configure(arguments); postContentTabbedPane.setSelectedIndex(TAB_PARAMETERS, false); } if(showFileUploadPane) { filesPanel.configure(el); } domain.setText(el.getPropertyAsString(HTTPSamplerBase.DOMAIN)); String portString = el.getPropertyAsString(HTTPSamplerBase.PORT); // Only display the port number if it is meaningfully specified if (portString.equals(HTTPSamplerBase.UNSPECIFIED_PORT_AS_STRING)) { port.setText(""); // $NON-NLS-1$ } else { port.setText(portString); } protocol.setText(el.getPropertyAsString(HTTPSamplerBase.PROTOCOL)); contentEncoding.setText(el.getPropertyAsString(HTTPSamplerBase.CONTENT_ENCODING)); path.setText(el.getPropertyAsString(HTTPSamplerBase.PATH)); if (notConfigOnly){ method.setText(el.getPropertyAsString(HTTPSamplerBase.METHOD)); followRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.FOLLOW_REDIRECTS)); autoRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.AUTO_REDIRECTS)); useKeepAlive.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.USE_KEEPALIVE)); useMultipart.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.DO_MULTIPART_POST)); useBrowserCompatibleMultipartMode.setSelected(el.getPropertyAsBoolean( HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART, HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART_MODE_DEFAULT)); } }	long method	Long Method	t	f	t			0	11245	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/protocol/http/org/apache/jmeter/protocol/http/config/gui/UrlConfigGui.java/#L272-L314	1	1544	11245
1282	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ICompletionProposal[] getRelevantProposals( ITextViewer viewer, int offset ) throws BadLocationException { if ( lastProposals != null ) { ArrayList relevantProposals = new ArrayList( 10 ); String word = ( findWord( viewer, offset - 1 ) ).toLowerCase( ); //Search for this word in the list for ( int n = 0; n < lastProposals.length; n++ ) { if ( stripQuotes( lastProposals[n].getDisplayString( ) .toLowerCase( ) ).startsWith( word ) ) { CompletionProposal proposal = new CompletionProposal( lastProposals[n].getDisplayString( ), offset - word.length( ), word.length( ), lastProposals[n].getDisplayString( ).length( ) ); relevantProposals.add( proposal ); } } if ( relevantProposals.size( ) > 0 ) { return (ICompletionProposal[]) relevantProposals.toArray( new ICompletionProposal[]{} ); } } return null; }	long method	Long method2 Feature envy	t	f	t			0	10603	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/data/org.eclipse.birt.report.data.oda.jdbc.ui/src/org/eclipse/birt/report/data/oda/jdbc/ui/editors/JdbcSQLContentAssistProcessor.java/#L278-L308	2	1282	10603
2422	YES I found bad smells The bad smells are: 1. Feature envy 2. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void tryStoreVectorizedKey(HiveKey key, boolean partColsIsNull, int batchIndex) throws HiveException, IOException { // Assumption - batchIndex is increasing; startVectorizedBatch was called int size = indexes.size(); int index = size < topN ? size : evicted; keys[index] = Arrays.copyOf(key.getBytes(), key.getLength()); distKeyLengths[index] = key.getDistKeyLength(); hashes[index] = key.hashCode(); Integer collisionIndex = indexes.store(index); if (null != collisionIndex) { /* * since there is a collision index will be used for the next value * so have the map point back to original index. */ if ( indexes instanceof HashForGroup ) { indexes.store(collisionIndex); } // forward conditional on the survival of the corresponding key currently in indexes. ++batchNumForwards; batchIndexToResult[batchIndex] = MAY_FORWARD - collisionIndex; return; } indexToBatchIndex[index] = batchIndex; batchIndexToResult[batchIndex] = index; if (size != topN) return; evicted = indexes.removeBiggest(); // remove the biggest key if (index == evicted) { excluded++; batchIndexToResult[batchIndex] = EXCLUDE; indexToBatchIndex[index] = -1; return; // input key is bigger than any of keys in hash } removed(evicted); int evictedBatchIndex = indexToBatchIndex[evicted]; if (evictedBatchIndex >= 0) { // reset the result for the evicted index batchIndexToResult[evictedBatchIndex] = EXCLUDE; indexToBatchIndex[evicted] = -1; } // Evict all results grouped with this index; it cannot be any key further in the batch. // If we evict a key from this batch, the keys grouped with it cannot be earlier that that key. // If we evict a key that is not from this batch, initial i = (-1) + 1 = 0, as intended. int evictedForward = (MAY_FORWARD - evicted); for (int i = evictedBatchIndex + 1; i < batchIndex && (batchNumForwards > 0); ++i) { if (batchIndexToResult[i] == evictedForward) { batchIndexToResult[i] = EXCLUDE; --batchNumForwards; } } }	long method	Feature envy2 Long method	t	f	t			0	14435	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/TopNHash.java/#L213-L262	2	2422	14435
767	{"response": "YES I found bad smells the bad smells are: 1. Long Method, 2. Feature Envy"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean isValidSyntax( Object value ) { String strValue; if ( value == null ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, "null" ) ); } return false; } if ( value instanceof String ) { strValue = ( String ) value; } else if ( value instanceof byte[] ) { strValue = Strings.utf8ToString( ( byte[] ) value ); } else { strValue = value.toString(); } // We must have at least '(cp)', '(xr)' or '(ca)' if ( strValue.length() < 4 ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check the opening and closing parenthesis if ( ( strValue.charAt( 0 ) != '(' ) || ( strValue.charAt( strValue.length() - 1 ) != ')' ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } Set keywords = new HashSet<>(); int len = strValue.length() - 1; boolean needKeyword = true; // for ( int i = 1; i < len; /* */) { // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } int pos = i; // Search for a keyword while ( ( i < len ) && Chars.isAlphaASCII( strValue, pos ) ) { pos++; } if ( pos == i ) { // No keyword : error if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } String keyword = strValue.substring( i, pos ); i = pos; if ( !DSE_BITS.contains( keyword ) ) { // Unknown keyword if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check that the keyword has not been met if ( keywords.contains( keyword ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } keywords.add( keyword ); needKeyword = false; // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } // Do we have another keyword ? if ( ( i < len ) && ( strValue.charAt( i ) == '$' ) ) { // yes i++; needKeyword = true; } } // We are done if ( LOG.isDebugEnabled() ) { if ( needKeyword ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } else { LOG.debug( I18n.msg( I18n.MSG_13701_SYNTAX_VALID, value ) ); } } return !needKeyword; }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	7227	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/schema/syntaxCheckers/DseTypeSyntaxChecker.java/#L133-L273	1	767	7227
745	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static RuleSet parse(final Reader configReader, EventLoggerProvider eventLogger) { RuleSetCreator ruleSetCreator = new RuleSetCreator(); int line = 0; try(Reader fileReader = configReader) { LOGGER.debug("About to load ACL file"); StreamTokenizer tokenizer = new StreamTokenizer(new BufferedReader(fileReader)); tokenizer.resetSyntax(); // setup the tokenizer tokenizer.commentChar(COMMENT); // single line comments tokenizer.eolIsSignificant(true); // return EOL as a token tokenizer.ordinaryChar('='); // equals is a token tokenizer.ordinaryChar(CONTINUATION); // continuation character (when followed by EOL) tokenizer.quoteChar('"'); // double quote tokenizer.quoteChar('\''); // single quote tokenizer.whitespaceChars('\u0000', '\u0020'); // whitespace (to be ignored) TODO properly tokenizer.wordChars('a', 'z'); // unquoted token characters [a-z] tokenizer.wordChars('A', 'Z'); // [A-Z] tokenizer.wordChars('0', '9'); // [0-9] tokenizer.wordChars('_', '_'); // underscore tokenizer.wordChars('-', '-'); // dash tokenizer.wordChars('.', '.'); // dot tokenizer.wordChars('*', '*'); // star tokenizer.wordChars('@', '@'); // at tokenizer.wordChars(':', ':'); // colon // parse the acl file lines Stack stack = new Stack<>(); int current; do { current = tokenizer.nextToken(); line = tokenizer.lineno()-1; switch (current) { case StreamTokenizer.TT_EOF: case StreamTokenizer.TT_EOL: if (stack.isEmpty()) { break; // blank line } // pull out the first token from the bottom of the stack and check arguments exist String first = stack.firstElement(); stack.removeElementAt(0); if (stack.isEmpty()) { throw new IllegalConfigurationException(String.format(NOT_ENOUGH_TOKENS_MSG, line)); } // check for and parse optional initial number for ACL lines Integer number = null; if (first != null && first.matches("\\d+")) { // set the acl number and get the next element number = Integer.valueOf(first); first = stack.firstElement(); stack.removeElementAt(0); } if (ACL.equalsIgnoreCase(first)) { parseAcl(number, stack, ruleSetCreator, line); } else if (number == null) { if("GROUP".equalsIgnoreCase(first)) { throw new IllegalConfigurationException(String.format("GROUP keyword not supported at " + "line %d. Groups should defined " + "via a Group Provider, not in " + "the ACL file.", line)); } else if (CONFIG.equalsIgnoreCase(first)) { parseConfig(stack, ruleSetCreator, line); } else { throw new IllegalConfigurationException(String.format(UNRECOGNISED_INITIAL_MSG, first, line)); } } else { throw new IllegalConfigurationException(String.format(NUMBER_NOT_ALLOWED_MSG, first, line)); } // reset stack, start next line stack.clear(); break; case StreamTokenizer.TT_NUMBER: stack.push(Integer.toString(Double.valueOf(tokenizer.nval).intValue())); break; case StreamTokenizer.TT_WORD: stack.push(tokenizer.sval); // token break; default: if (tokenizer.ttype == CONTINUATION) { int next = tokenizer.nextToken(); line = tokenizer.lineno()-1; if (next == StreamTokenizer.TT_EOL) { break; // continue reading next line } // invalid location for continuation character (add one to line because we ate the EOL) throw new IllegalConfigurationException(String.format(PREMATURE_CONTINUATION_MSG, line + 1)); } else if (tokenizer.ttype == '\'' || tokenizer.ttype == '"') { stack.push(tokenizer.sval); // quoted token } else { stack.push(Character.toString((char) tokenizer.ttype)); // single character } } } while (current != StreamTokenizer.TT_EOF); if (!stack.isEmpty()) { throw new IllegalConfigurationException(String.format(PREMATURE_EOF_MSG, line)); } } catch (IllegalArgumentException iae) { throw new IllegalConfigurationException(String.format(PARSE_TOKEN_FAILED_MSG, line), iae); } catch (IOException ioe) { throw new IllegalConfigurationException(CANNOT_LOAD_MSG, ioe); } return ruleSetCreator.createRuleSet(eventLogger); }	long method	long method, feature envy	t	t	t	feature envy		0	7007	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-plugins/access-control/src/main/java/org/apache/qpid/server/security/access/config/AclFileParser.java/#L113-L249	1	745	7007
767	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean isValidSyntax( Object value ) { String strValue; if ( value == null ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, "null" ) ); } return false; } if ( value instanceof String ) { strValue = ( String ) value; } else if ( value instanceof byte[] ) { strValue = Strings.utf8ToString( ( byte[] ) value ); } else { strValue = value.toString(); } // We must have at least '(cp)', '(xr)' or '(ca)' if ( strValue.length() < 4 ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check the opening and closing parenthesis if ( ( strValue.charAt( 0 ) != '(' ) || ( strValue.charAt( strValue.length() - 1 ) != ')' ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } Set keywords = new HashSet<>(); int len = strValue.length() - 1; boolean needKeyword = true; // for ( int i = 1; i < len; /* */) { // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } int pos = i; // Search for a keyword while ( ( i < len ) && Chars.isAlphaASCII( strValue, pos ) ) { pos++; } if ( pos == i ) { // No keyword : error if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } String keyword = strValue.substring( i, pos ); i = pos; if ( !DSE_BITS.contains( keyword ) ) { // Unknown keyword if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check that the keyword has not been met if ( keywords.contains( keyword ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } keywords.add( keyword ); needKeyword = false; // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } // Do we have another keyword ? if ( ( i < len ) && ( strValue.charAt( i ) == '$' ) ) { // yes i++; needKeyword = true; } } // We are done if ( LOG.isDebugEnabled() ) { if ( needKeyword ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } else { LOG.debug( I18n.msg( I18n.MSG_13701_SYNTAX_VALID, value ) ); } } return !needKeyword; }	long method	Long method2 Feature envy	t	f	t			0	7227	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/schema/syntaxCheckers/DseTypeSyntaxChecker.java/#L133-L273	2	767	7227
35	{"message": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static boolean resolveGenericRef(GenericRef ref, Class clazz, Type type) { if (type instanceof Class) { if (type == ref.ifaceClass) { // is this a straight ref or a TypeVariable? // debug("Found ref (as class): %s",toShortName(type)); ref.setGenericFromType(type,0); return true; } else { // Keep digging return resolveGenericRef(ref,type); } } if (type instanceof ParameterizedType) { ParameterizedType ptype = (ParameterizedType)type; Type rawType = ptype.getRawType(); if (rawType == ref.ifaceClass) { // debug("Found ref on [%s] as ParameterizedType [%s]",toShortName(clazz),toShortName(ptype)); // Always get the raw type parameter, let unwrap() solve for what it is ref.setGenericFromType(ptype.getActualTypeArguments()[0],0); return true; } else { // Keep digging return resolveGenericRef(ref,rawType); } } return false; }	long method	1. long method	t	t	t			0	743	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-websocket/websocket-common/src/main/java/org/eclipse/jetty/websocket/common/util/ReflectUtils.java/#L189-L225	1	35	743
1781	YES I found bad smells the bad smells are: Long method, Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void doSmapText(Node n) { String text = n.getText(); int index = 0; int next = 0; int lineCount = 1; int skippedLines = 0; boolean slashStarSeen = false; boolean beginning = true; // Count lines inside text, but skipping comment lines at the // beginning of the text. while ((next = text.indexOf('\n', index)) > -1) { if (beginning) { String line = text.substring(index, next).trim(); if (!slashStarSeen && line.startsWith("/*")) { slashStarSeen = true; } if (slashStarSeen) { skippedLines++; int endIndex = line.indexOf("*/"); if (endIndex >= 0) { // End of /* */ comment slashStarSeen = false; if (endIndex < line.length() - 2) { // Some executable code after comment skippedLines--; beginning = false; } } } else if (line.length() == 0 || line.startsWith("//")) { skippedLines++; } else { beginning = false; } } lineCount++; index = next + 1; } doSmap(n, lineCount, 1, skippedLines); }	long method	Long method, Feature envy	t	f	t	Feature envy.		0	11962	https://github.com/apache/struts/blob/e82c5a207f62fdb1bb6e8da690325b5a109c924f/plugins/embeddedjsp/src/main/java/org/apache/struts2/jasper/compiler/SmapUtil.java/#L664-L704	2	1781	11962
1716	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private String formatQueryString(final String projectUri, final String[] args) { final StringBuffer result = new StringBuffer(); if (projectUri != null) { if (isCompatibleMode) { result.append("puri="); //$NON-NLS-1$ result.append(URLEncode.encode(projectUri.toString())); } else { final ArtifactID artifactID = new ArtifactID(projectUri); result.append("pguid="); //$NON-NLS-1$ result.append(URLEncode.encode(artifactID.getToolSpecificID())); } } else if (!isCompatibleMode) { result.append("pcguid="); //$NON-NLS-1$ result.append(URLEncode.encode(collectionId.toString())); } for (int i = 0; i < args.length - 1; i += 2) { final String name = args[i]; final String value = args[i + 1]; if (name != null) { if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(name)); } if (value != null) { if (name != null) { result.append('='); } else if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(value)); } } return result.toString(); }	long method	Long Method	t	f	t			0	11781	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/util/TSWAHyperlinkBuilder.java/#L518-L559	1	1716	11781
732	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void tryStoreVectorizedKey(HiveKey key, boolean partColsIsNull, int batchIndex) throws HiveException, IOException { // Assumption - batchIndex is increasing; startVectorizedBatch was called int size = indexes.size(); int index = size < topN ? size : evicted; keys[index] = Arrays.copyOf(key.getBytes(), key.getLength()); distKeyLengths[index] = key.getDistKeyLength(); hashes[index] = key.hashCode(); Integer collisionIndex = indexes.store(index); if (null != collisionIndex) { /* * since there is a collision index will be used for the next value * so have the map point back to original index. */ if ( indexes instanceof HashForGroup ) { indexes.store(collisionIndex); } // forward conditional on the survival of the corresponding key currently in indexes. ++batchNumForwards; batchIndexToResult[batchIndex] = MAY_FORWARD - collisionIndex; return; } indexToBatchIndex[index] = batchIndex; batchIndexToResult[batchIndex] = index; if (size != topN) return; evicted = indexes.removeBiggest(); // remove the biggest key if (index == evicted) { excluded++; batchIndexToResult[batchIndex] = EXCLUDE; indexToBatchIndex[index] = -1; return; // input key is bigger than any of keys in hash } removed(evicted); int evictedBatchIndex = indexToBatchIndex[evicted]; if (evictedBatchIndex >= 0) { // reset the result for the evicted index batchIndexToResult[evictedBatchIndex] = EXCLUDE; indexToBatchIndex[evicted] = -1; } // Evict all results grouped with this index; it cannot be any key further in the batch. // If we evict a key from this batch, the keys grouped with it cannot be earlier that that key. // If we evict a key that is not from this batch, initial i = (-1) + 1 = 0, as intended. int evictedForward = (MAY_FORWARD - evicted); for (int i = evictedBatchIndex + 1; i < batchIndex && (batchNumForwards > 0); ++i) { if (batchIndexToResult[i] == evictedForward) { batchIndexToResult[i] = EXCLUDE; --batchNumForwards; } } }	long method	Long method2 Feature envy	t	f	t			0	6885	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/TopNHash.java/#L213-L262	2	732	6885
2387	{"response": "YES I found bad smells. the bad smells are: 1. Blob, 2. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean fetchNext() throws IgniteCheckedException { if (data == null) return false; try { if (!data.next()) { close(); return false; } if (res != null) { Value[] values = res.currentRow(); for (int c = 0; c < row.length; c++) { Value val = values[c]; if (val instanceof GridH2ValueCacheObject) { GridH2ValueCacheObject valCacheObj = (GridH2ValueCacheObject)values[c]; row[c] = valCacheObj.getObject(true); } else row[c] = val.getObject(); } } else { for (int c = 0; c < row.length; c++) row[c] = data.getObject(c + 1); } return true; } catch (SQLException e) { throw new IgniteSQLException(e); } }	long method	1. blob, 2. long method	t	t	t	1. blob		0	14351	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/H2ResultSetIterator.java/#L101-L137	1	2387	14351
1352	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void bind(PropertyList pList) throws FOPException { super.bind(pList); alignmentAdjust = pList.get(PR_ALIGNMENT_ADJUST).getLength(); alignmentBaseline = pList.get(PR_ALIGNMENT_BASELINE).getEnum(); baselineShift = pList.get(PR_BASELINE_SHIFT).getLength(); dominantBaseline = pList.get(PR_DOMINANT_BASELINE).getEnum(); leaderAlignment = pList.get(PR_LEADER_ALIGNMENT).getEnum(); leaderLength = pList.get(PR_LEADER_LENGTH).getLengthRange(); leaderPattern = pList.get(PR_LEADER_PATTERN).getEnum(); leaderPatternWidth = pList.get(PR_LEADER_PATTERN_WIDTH).getLength(); // use default rule thickness as a default ruleThickness = getPropertyMakerFor(PR_RULE_THICKNESS).make(pList).getLength(); switch(leaderPattern) { case EN_SPACE: // use Space break; case EN_RULE: // the following properties only apply // for leader-pattern = "rule" ruleStyle = pList.get(PR_RULE_STYLE).getEnum(); // use specified rule thickness to override default (established above) ruleThickness = pList.get(PR_RULE_THICKNESS).getLength(); break; case EN_DOTS: break; case EN_USECONTENT: // use inline layout manager to create inline areas // add the inline parent multiple times until leader full break; default: throw new RuntimeException("Invalid leader pattern: " + leaderPattern); } // letterSpacing = pList.get(PR_LETTER_SPACING); // textShadow = pList.get(PR_TEXT_SHADOW); }	long method	long method	t	t	t			0	10761	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fo/flow/Leader.java/#L72-L106	1	1352	10761
2640	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy 4. Message chain 5. Unnecessary conditional logic 6. Inconsistent variable naming conventions 7. Use of system exceptions 8. Inappropriate handling of errors or exceptions 9. Mixing of business logic and error handling code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	Long method2 Duplicate code3 Feature envy4 Message chain5 Unnecessary conditional logic6 Inconsistent variable naming conventions7 Use of system exceptions8 Inappropriate handling of errors or exceptions9 Mixing of business logic and error handling code	t	f	t			0	15143	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	2	2640	15143
2391	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static ImmutableDictionaryReader loadDictionary(PinotDataBuffer dictionaryBuffer, ColumnMetadata metadata, boolean loadOnHeap) { FieldSpec.DataType dataType = metadata.getDataType(); if (loadOnHeap) { String columnName = metadata.getColumnName(); LOGGER.info("Loading on-heap dictionary for column: {}", columnName); } int length = metadata.getCardinality(); switch (dataType) { case INT: return (loadOnHeap) ? new OnHeapIntDictionary(dictionaryBuffer, length) : new IntDictionary(dictionaryBuffer, length); case LONG: return (loadOnHeap) ? new OnHeapLongDictionary(dictionaryBuffer, length) : new LongDictionary(dictionaryBuffer, length); case FLOAT: return (loadOnHeap) ? new OnHeapFloatDictionary(dictionaryBuffer, length) : new FloatDictionary(dictionaryBuffer, length); case DOUBLE: return (loadOnHeap) ? new OnHeapDoubleDictionary(dictionaryBuffer, length) : new DoubleDictionary(dictionaryBuffer, length); case STRING: int numBytesPerValue = metadata.getColumnMaxLength(); byte paddingByte = (byte) metadata.getPaddingCharacter(); return loadOnHeap ? new OnHeapStringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte) : new StringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte); case BYTES: numBytesPerValue = metadata.getColumnMaxLength(); return new BytesDictionary(dictionaryBuffer, length, numBytesPerValue); default: throw new IllegalStateException("Illegal data type for dictionary: " + dataType); } }	long method	long method	t	t	t			0	14362	https://github.com/apache/incubator-pinot/blob/d58f8bce4b59de096b4ee9fee61c679482dd1d7d/pinot-core/src/main/java/org/apache/pinot/core/segment/index/column/PhysicalColumnIndexContainer.java/#L143-L182	1	2391	14362
783	{"response": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: void cleanup() { for (final BundleWire requiredWire : requiredWires.getAllValues()) { final ConciergeBundleWiring bw = ((ConciergeBundleWire) requiredWire).providerWiring; if (bw != null) { bw.inUseSet.remove(revision); } } for (final BundleWire hostWire : providedWires .lookup(HostNamespace.HOST_NAMESPACE)) { final ConciergeBundleWiring bw = ((ConciergeBundleWire) hostWire).requirerWiring; if (bw != null) { bw.inUseSet.remove(revision); } } }	long method	long method	t	t	t			0	7493	https://github.com/eclipse/concierge/blob/4c73cacebc5ecbdef24d4256ab506359294f7a55/framework/org.eclipse.concierge/src/org/eclipse/concierge/Resources.java/#L626-L640	1	783	7493
787	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public ServiceDefinition[] findServicesByToolID(final String toolId) { try { ensureDiskCacheLoaded(); accessLock.readLock().lock(); final boolean returnAll = toolId == null || toolId.length() == 0; final List requestedDefinitions = new ArrayList(); // Iterate the map of service types. Values are a map of service // instances. for (final Map mapServiceInstances : mapServices.values()) { for (final ServiceDefinition definition : mapServiceInstances.values()) { /* * NB! some service definitions in Dev12 QU1 may have null * ToolID */ if (returnAll || toolId.equalsIgnoreCase(definition.getToolID())) { requestedDefinitions.add((ServiceDefinition) definition.clone()); } } } // Return null if no matching definitions were found. if (requestedDefinitions.size() == 0) { return null; } // Return an array of the matching service definitions. return requestedDefinitions.toArray(new ServiceDefinition[requestedDefinitions.size()]); } finally { accessLock.readLock().unlock(); } }	long method	Long method2 Feature envy	t	f	t			0	7509	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/clients/framework/location/internal/LocationCacheManager.java/#L399-L431	2	787	7509
1497	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void testGroupByOrderPreservingDescSort() throws Exception { Properties props = PropertiesUtil.deepCopy(TEST_PROPERTIES); Connection conn = DriverManager.getConnection(getUrl(), props); String tableName = generateUniqueName(); conn.createStatement().execute("CREATE TABLE " + tableName + " (k1 char(1) not null, k2 char(1) not null," + " constraint pk primary key (k1,k2)) split on ('ac','jc','nc')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'd')"); conn.commit(); QueryBuilder queryBuilder = new QueryBuilder() .setSelectExpression("K1,COUNT(*)") .setSelectColumns(Lists.newArrayList("K1")) .setFullTableName(tableName) .setGroupByClause("K1") .setOrderByClause("K1 DESC"); ResultSet rs = executeQuery(conn, queryBuilder); assertTrue(rs.next()); assertEquals("n", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("j", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("a", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertFalse(rs.next()); String expectedPhoenixPlan = "CLIENT PARALLEL 1-WAY REVERSE FULL SCAN OVER " + tableName + "\n" + " SERVER FILTER BY FIRST KEY ONLY\n" + " SERVER AGGREGATE INTO ORDERED DISTINCT ROWS BY [K1]"; validateQueryPlan(conn, queryBuilder, expectedPhoenixPlan, null); }	long method	long method	t	t	t			0	11126	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/it/java/org/apache/phoenix/end2end/BaseAggregateIT.java/#L386-L427	1	1497	11126
254	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List getOrderedLogFileIds() { File fileLogDir = new File(logDir); String[] logFileNames = null; List logFileIds = null; if (!fileLogDir.exists()) { LOGGER.log(Level.INFO, "log dir " + logDir + " doesn't exist. returning empty list"); return Collections.emptyList(); } if (!fileLogDir.isDirectory()) { throw new IllegalStateException("log dir " + logDir + " exists but it is not a directory"); } logFileNames = fileLogDir.list((dir, name) -> name.startsWith(logFilePrefix)); if (logFileNames == null) { throw new IllegalStateException("listing of log dir (" + logDir + ") files returned null. " + "Either an IO error occurred or the dir was just deleted by another process/thread"); } if (logFileNames.length == 0) { LOGGER.log(Level.INFO, "the log dir (" + logDir + ") is empty. returning empty list"); return Collections.emptyList(); } logFileIds = new ArrayList<>(); for (String fileName : logFileNames) { logFileIds.add(Long.parseLong(fileName.substring(logFilePrefix.length() + 1))); } logFileIds.sort(Long::compareTo); return logFileIds; }	long method	long method, feature envy	t	t	t	feature envy		0	2738	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-transactions/src/main/java/org/apache/asterix/transaction/management/service/logging/LogManager.java/#L440-L466	1	254	2738
2404	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: else { fstack.add(cfkey); builder.append(offset + "--" + cfkey + "\n"); builder.append(explainFunctionCallGraph(fgraph, fstack, cfkey, level+1)); fstack.remove(cfkey); } } } return builder.toString(); } }	long method	Long method2 Feature envy	t	f	t			0	14385	https://github.com/apache/systemml/blob/7fba4b29d653747a9ed038d282954a44fea3031c/src/main/java/org/apache/sysml/utils/Explain.java/#L1103-L1141	2	2404	14385
2260	{"response": "YES, I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static boolean evaluateImpl(Object o1, Object o2) { // TODO: maybe we need a comparison "strategy" here, instead of // a switch of all possible cases? ... there were other requests for // more relaxed type-unsafe comparison (e.g. numbers to strings) if (o1 == null && o2 == null) { return true; } else if (o1 != null) { // Per CAY-419 we perform 'in' comparison if one object is a list, and other is not if (o2 instanceof Collection) { for (Object element : ((Collection) o2)) { if (element != null && Evaluator.evaluator(element).eq(element, o1)) { return true; } } return false; } return Evaluator.evaluator(o1).eq(o1, o2); } return false; }	long method	long method, feature envy	t	t	t	feature envy		0	13711	https://github.com/apache/cayenne/blob/5be5235ed1c02589b6300e9729cf3c308c0173e8/cayenne-server/src/main/java/org/apache/cayenne/exp/parser/ASTEqual.java/#L76-L97	1	2260	13711
2530	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected Server createJettyServer(JettyHttpHandlerAdapter servlet) { int port = (getPort() >= 0) ? getPort() : 0; InetSocketAddress address = new InetSocketAddress(getAddress(), port); Server server = new Server(getThreadPool()); server.addConnector(createConnector(address, server)); ServletHolder servletHolder = new ServletHolder(servlet); servletHolder.setAsyncSupported(true); ServletContextHandler contextHandler = new ServletContextHandler(server, "", false, false); contextHandler.addServlet(servletHolder, "/"); server.setHandler(addHandlerWrappers(contextHandler)); JettyReactiveWebServerFactory.logger .info("Server initialized with port: " + port); if (getSsl() != null && getSsl().isEnabled()) { customizeSsl(server, address); } for (JettyServerCustomizer customizer : getServerCustomizers()) { customizer.customize(server); } if (this.useForwardHeaders) { new ForwardHeadersCustomizer().customize(server); } return server; }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	14736	https://github.com/spring-projects/spring-boot/blob/2225b362991f225e3a93f00e160526d2b8abdfb2/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyReactiveWebServerFactory.java/#L171-L194	2	2530	14736
2055	{ "message": "YES I found bad smells", "the bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(this.getUnknownFields()); while (true) { int tag = 0; try { tag = input.readTag(); } catch (Exception e) { // do nothing } switch (tag) { case 0 : this.setUnknownFields(unknownFields.build()); onChanged(); return this; default : { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { this.setUnknownFields(unknownFields.build()); onChanged(); return this; } break; } case 10 : { bitField0_ |= 0x00000001; message_ = input.readBytes(); break; } case 16 : { int rawValue = input.readEnum(); org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType value = org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType.valueOf(rawValue); if (value == null) { unknownFields.mergeVarintField(2, rawValue); } else { bitField0_ |= 0x00000002; messageType_ = value; } break; } case 24 : { bitField0_ |= 0x00000004; timestamp_ = input.readSInt64(); break; } case 34 : { bitField0_ |= 0x00000008; appId_ = input.readBytes(); break; } case 50 : { bitField0_ |= 0x00000010; sourceId_ = input.readBytes(); break; } case 58 : { ensureDrainUrlsIsMutable(); drainUrls_.add(input.readBytes()); break; } case 66 : { bitField0_ |= 0x00000040; sourceName_ = input.readBytes(); break; } } } }	long method	long method	t	t	t			0	12939	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.cf/src/org/eclipse/orion/server/cf/loggregator/LoggregatorMessage.java/#L651-L716	1	2055	12939
1694	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public T get(Duration duration) throws InterruptedException, ExecutionException, TimeoutException { long start = System.currentTimeMillis(); Long end = duration==null ? null : start + duration.toMillisecondsRoundingUp(); while (end==null || end > System.currentTimeMillis()) { if (cancelled) throw new CancellationException(); if (internalFuture == null) { synchronized (this) { long remaining = end - System.currentTimeMillis(); if (internalFuture==null && remaining>0) wait(remaining); } } if (internalFuture != null) break; } Long remaining = end==null ? null : end - System.currentTimeMillis(); if (isDone()) { return internalFuture.get(1, TimeUnit.MILLISECONDS); } else if (remaining == null) { return internalFuture.get(); } else if (remaining > 0) { return internalFuture.get(remaining, TimeUnit.MILLISECONDS); } else { throw new TimeoutException(); } }	long method	'Long Method'	t	t	t	{',L,o,n,g," ",M,e,t,h,o,d,'}	{',L,o,n,g," ",M,h,o,d,'}	0	11718	https://github.com/apache/incubator-brooklyn/blob/337a5d22d5e9c98cc96ea1085383cbed1ee0b741/brooklyn-server/core/src/main/java/org/apache/brooklyn/util/core/task/BasicTask.java/#L437-L462	1	1694	11718
1225	{ "response": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean executeSyncCmsId(NuageVspDeviceVO nuageVspDevice, SyncType syncType) { NuageVspDeviceVO matchingNuageVspDevice = findMatchingNuageVspDevice(nuageVspDevice); if (syncType == SyncType.REGISTER && matchingNuageVspDevice != null) { String cmsId = findNuageVspCmsIdForDeviceOrHost(matchingNuageVspDevice.getId(), matchingNuageVspDevice.getHostId()); registerNewNuageVspDevice(nuageVspDevice.getHostId(), cmsId); return true; } String cmsId = findNuageVspCmsIdForDeviceOrHost(nuageVspDevice.getId(), nuageVspDevice.getHostId()); SyncNuageVspCmsIdCommand syncCmd = new SyncNuageVspCmsIdCommand(syncType, cmsId); SyncNuageVspCmsIdAnswer answer = (SyncNuageVspCmsIdAnswer) _agentMgr.easySend(nuageVspDevice.getHostId(), syncCmd); if (answer != null) { if (answer.getSuccess()) { if (syncType == SyncType.REGISTER || answer.getSyncType() == SyncType.REGISTER) { registerNewNuageVspDevice(nuageVspDevice.getHostId(), answer.getNuageVspCmsId()); } else if (syncType == SyncType.UNREGISTER) { removeLegacyNuageVspDeviceCmsId(nuageVspDevice.getId()); } } else if (syncType == SyncType.AUDIT || syncType == SyncType.AUDIT_ONLY) { s_logger.fatal("Nuage VSP Device with ID " + nuageVspDevice.getId() + " is configured with an unknown CMS ID!"); } } return answer != null && answer.getSuccess(); }	long method	1: long method	t	t	t			0	10351	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/nuage-vsp/src/main/java/com/cloud/network/manager/NuageVspManagerImpl.java/#L686-L711	1	1225	10351
1305	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void addUTF8Region(StructurePointer clazz, String slotName, String additionalInfo, AbstractPointer utf8String) throws CorruptDataException { long offset = utf8String.getAddress() - clazz.getAddress(); /* We do not want to print UTF8 outside of the ROM class. */ long clazzSize = ((J9ROMClassPointer) clazz).romSize().longValue(); if ((offset > 0) && (offset < clazzSize)) { if (utf8String.notNull()) { long UTF8Length = getUTF8Length(J9UTF8Pointer.cast(utf8String)); if (utf8String.getAddress() < firstJ9_ROM_UTF8) { firstJ9_ROM_UTF8 = utf8String.getAddress(); } if ((utf8String.getAddress() + UTF8Length) > lastJ9_ROM_UTF8) { lastJ9_ROM_UTF8 = utf8String.getAddress() + UTF8Length; } classRegions.add(new J9ClassRegion(utf8String, SlotType.J9_ROM_UTF8, slotName, additionalInfo, UTF8Length, offset, true)); } } }	long method	long method, feature envy	t	t	t	feature envy		0	10673	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/debugtools/DDR_VM/src/com/ibm/j9ddr/vm29/tools/ddrinteractive/LinearDumper.java/#L277-L297	1	1305	10673
1561	YES I found bad smells the bad smells are: 1. Long method 2. Inconsistent indentation 3. Empty catch statement 4. Magic numbers 5. Use of switch statement 6. Use of multiple if/else statements 7. Use of null check syntax 8. Code duplication/repetition 9. Poor variable naming 10. Mixing of logic and data manipulation 11. Unnecessary commenting 12. Nested conditionals 13. Hard-coded values 14. Mix of different coding styles/mixing of languages (Java and protocols) 15. Use of bitwise operations (bitField0_) 16. Lack of proper error handling/reporting	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(this.getUnknownFields()); while (true) { int tag = 0; try { tag = input.readTag(); } catch (Exception e) { // do nothing } switch (tag) { case 0 : this.setUnknownFields(unknownFields.build()); onChanged(); return this; default : { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { this.setUnknownFields(unknownFields.build()); onChanged(); return this; } break; } case 10 : { bitField0_ |= 0x00000001; message_ = input.readBytes(); break; } case 16 : { int rawValue = input.readEnum(); org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType value = org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType.valueOf(rawValue); if (value == null) { unknownFields.mergeVarintField(2, rawValue); } else { bitField0_ |= 0x00000002; messageType_ = value; } break; } case 24 : { bitField0_ |= 0x00000004; timestamp_ = input.readSInt64(); break; } case 34 : { bitField0_ |= 0x00000008; appId_ = input.readBytes(); break; } case 50 : { bitField0_ |= 0x00000010; sourceId_ = input.readBytes(); break; } case 58 : { ensureDrainUrlsIsMutable(); drainUrls_.add(input.readBytes()); break; } case 66 : { bitField0_ |= 0x00000040; sourceName_ = input.readBytes(); break; } } } }	long method	Long method2 Inconsistent indentation3 Empty catch statement4 Magic numbers5 Use of switch statement6 Use of multiple if/else statements7 Use of null check syntax8 Code duplication/repetition9 Poor variable naming	t	f	t			0	11308	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.cf/src/org/eclipse/orion/server/cf/loggregator/LoggregatorMessage.java/#L651-L716	2	1561	11308
605	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy 4. Magic numbers 5. Poor naming conventions for variables and methods 6. Nested conditional statements 7. Lack of comments or documentation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int next() { final int startNode = _startNode; if (_startNode == NULL) { return NULL; } int node = _currentNode; int expType; final int nodeType = _nodeType; if (nodeType != DTM.ELEMENT_NODE) { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType != nodeType); } // %OPT% If the start node is root (e.g. in the case of //node), // we can save the isDescendant() check, because all nodes are // descendants of root. else if (startNode == DTMDefaultBase.ROOTNODE) { do { node++; expType = _exptype2(node); if (NULL == expType) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } else { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } _currentNode = node; return returnNode(makeNodeHandle(node)); }	long method	Long method2 Duplicate code3 Feature envy4 Magic numbers5 Poor naming conventions for variables and methods6 Nested conditional statements7 Lack of comments or documentation	t	f	t			0	6050	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/xalan/third_party/android/platform/external/apache-xml/src/main/java/org/apache/xml/dtm/ref/sax2dtm/SAX2DTM2.java/#L1658-L1719	2	605	6050
1972	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: List freevarDefs(int pos, List freevars, Symbol owner, long additionalFlags) { long flags = FINAL | SYNTHETIC | additionalFlags; List defs = List.nil(); Set proxyNames = new HashSet<>(); for (List l = freevars; l.nonEmpty(); l = l.tail) { VarSymbol v = l.head; int index = 0; Name proxyName; do { proxyName = proxyName(v.name, index++); } while (!proxyNames.add(proxyName)); VarSymbol proxy = new VarSymbol( flags, proxyName, v.erasure(types), owner); proxies.put(v, proxy); JCVariableDecl vd = make.at(pos).VarDef(proxy, null); vd.vartype = access(vd.vartype); defs = defs.prepend(vd); } return defs; }	long method	Long method2 Feature envy	t	f	t			0	12611	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.compiler/share/classes/com/sun/tools/javac/comp/Lower.java/#L1457-L1477	2	1972	12611
1207	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @SuppressWarnings("unchecked") public int executeUpdate(final String inSql) throws SQLException { this.sql = inSql; if (this.sql == null) { throw new SQLException("sql is null"); } trimSQL(); if (this.sql.length() == 0) { throw new SQLException("empty sql"); } String lowcaseSql = this.sql.toLowerCase(); Object req = null; // TODO use patterns if (lowcaseSql.startsWith("create domain") || lowcaseSql.startsWith("create table")) { //$NON-NLS-1$ int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); req = new CreateDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete domain") || lowcaseSql.startsWith("delete table") //$NON-NLS-1$ || lowcaseSql.startsWith("drop table")) { int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); List pending = this.conn.getPendingColumns(domain); if (pending != null) { pending = new ArrayList<>(pending); for (String attr : pending) { this.conn.removePendingColumn(domain, attr); } } req = new DeleteDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete from")) { req = prepareDeleteRowRequest(); } else if (lowcaseSql.startsWith("alter table ")) { req = prepareDropAttributeRequest(); } else if (lowcaseSql.startsWith("insert ")) { req = prepareInsertRequest(); } else if (lowcaseSql.startsWith("update ")) { req = prepareUpdateRequest(); } else if (lowcaseSql.startsWith("create testdomain ")) { req = new ArrayList<>(); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(this.sql.lastIndexOf(" ") + 1).trim(), //$NON-NLS-1$ DELIMITED_IDENTIFIER_QUOTE); ((List) req).add(new CreateDomainRequest().withDomainName(domain)); ReplaceableAttribute attr = new ReplaceableAttribute().withName("attr1").withValue("val1").withReplace(Boolean.TRUE); for (int i = 0; i < 570; i++) { ((List) req).add(new PutAttributesRequest().withDomainName(domain).withItemName("item" + i).withAttributes(attr)); } } if (req != null) { int result = executeSDBRequest(req); if (this.params != null) { for (Object obj : this.params) { if (obj instanceof SimpleDBItemName) { ((SimpleDBItemName) obj).setPersisted(true); } } } return result; } throw new SQLException("unsupported update: " + this.sql); }	long method	Long method2 Feature envy	t	f	t			0	10290	https://github.com/aws/aws-toolkit-eclipse/blob/49026f53fdd4f80a7fb997c9e40fe6e638a26edc/bundles/com.amazonaws.eclipse.simpledb/src/com/amazonaws/eclipse/datatools/enablement/simpledb/internal/driver/JdbcStatement.java/#L432-L502	2	1207	10290
469	YES I found bad smells" YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	Long method2 Feature envy	t	f	t			0	4555	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	2	469	4555
2574	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	Long method2 Feature envy	t	f	t			0	14912	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	2	2574	14912
1637	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ClearCacheResponse( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { initFields(); int mutable_bitField0_ = 0; com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(); try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; default: { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { done = true; } break; } case 8: { bitField0_ |= 0x00000001; unfreedBytes_ = input.readInt64(); break; } } } } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.setUnfinishedMessage(this); } catch (java.io.IOException e) { throw new com.google.protobuf.InvalidProtocolBufferException( e.getMessage()).setUnfinishedMessage(this); } finally { this.unknownFields = unknownFields.build(); makeExtensionsImmutable(); } }	long method	Long Method, Blob	t	f	t	Blob		0	11527	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/main/java/org/apache/phoenix/coprocessor/generated/MetaDataProtos.java/#L13962-L14001	1	1637	11527
861	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void decide(Authentication authentication, Object object, Collection configAttributes) throws AccessDeniedException { int deny = 0; for (AccessDecisionVoter voter : getDecisionVoters()) { int result = voter.vote(authentication, object, configAttributes); if (logger.isDebugEnabled()) { logger.debug("Voter: " + voter + ", returned: " + result); } switch (result) { case AccessDecisionVoter.ACCESS_GRANTED: return; case AccessDecisionVoter.ACCESS_DENIED: deny++; break; default: break; } } if (deny > 0) { throw new AccessDeniedException(messages.getMessage( "AbstractAccessDecisionManager.accessDenied", "Access is denied")); } // To get this far, every AccessDecisionVoter abstained checkAllowIfAllAbstainDecisions(); }	long method	Long method2 Feature envy	t	f	t			0	7903	https://github.com/spring-projects/spring-security/blob/8dd2864dea3de5ea98637a1629debc89c29e76c0/core/src/main/java/org/springframework/security/access/vote/AffirmativeBased.java/#L58-L90	2	861	7903
2309	YES, I found bad smells the bad smells are: 1.Long method, 2.Duplicated code, 3.Magic number, 4.Inappropriate comments, 5.Lazy class, 6.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	Long method, 2Duplicated code, 3Magic number, 4Inappropriate comments, 5Lazy class, 6Feature envy	t	f	t	2.Duplicated code, 3.Magic number, 4.Inappropriate comments, 5.Lazy class, 6.Feature envy		0	14095	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	2	2309	14095
4239	{"answer": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, WMTrigger struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RESOURCE_PLAN_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.resourcePlanName = iprot.readString(); struct.setResourcePlanNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // TRIGGER_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerName = iprot.readString(); struct.setTriggerNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // TRIGGER_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerExpression = iprot.readString(); struct.setTriggerExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // ACTION_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.actionExpression = iprot.readString(); struct.setActionExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 5: // IS_IN_UNMANAGED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.isInUnmanaged = iprot.readBool(); struct.setIsInUnmanagedIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 6: // NS if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.ns = iprot.readString(); struct.setNsIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); struct.validate(); }	long method	long method, data class	t	t	t	data class		0	11159	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/WMTrigger.java/#L733-L798	1	4239	11159
1693	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public CreatePreauthenticatedRequestResponse createPreauthenticatedRequest( CreatePreauthenticatedRequestRequest request) { LOG.trace("Called createPreauthenticatedRequest"); request = CreatePreauthenticatedRequestConverter.interceptRequest(request); com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = CreatePreauthenticatedRequestConverter.fromRequest(client, request); com.google.common.base.Function< javax.ws.rs.core.Response, CreatePreauthenticatedRequestResponse> transformer = CreatePreauthenticatedRequestConverter.fromResponse(); int attempts = 0; while (true) { try { javax.ws.rs.core.Response response = client.post(ib, request.getCreatePreauthenticatedRequestDetails(), request); return transformer.apply(response); } catch (com.oracle.bmc.model.BmcException e) { if (++attempts < MAX_IMMEDIATE_RETRIES_IF_USING_INSTANCE_PRINCIPALS && canRetryRequestIfRefreshableAuthTokenUsed(e)) { continue; } else { throw e; } } } }	long method	Long method2 Feature envy	t	f	t			0	11716	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-objectstorage/bmc-objectstorage-generated/src/main/java/com/oracle/bmc/objectstorage/ObjectStorageClient.java/#L526-L552	2	1693	11716
1431	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ICompletionProposal[] getRelevantProposals( ITextViewer viewer, int offset ) throws BadLocationException { if ( lastProposals != null ) { ArrayList relevantProposals = new ArrayList( 10 ); String word = ( findWord( viewer, offset - 1 ) ).toLowerCase( ); //Search for this word in the list for ( int n = 0; n < lastProposals.length; n++ ) { if ( stripQuotes( lastProposals[n].getDisplayString( ) .toLowerCase( ) ).startsWith( word ) ) { CompletionProposal proposal = new CompletionProposal( lastProposals[n].getDisplayString( ), offset - word.length( ), word.length( ), lastProposals[n].getDisplayString( ).length( ) ); relevantProposals.add( proposal ); } } if ( relevantProposals.size( ) > 0 ) { return (ICompletionProposal[]) relevantProposals.toArray( new ICompletionProposal[]{} ); } } return null; }	long method	long method	t	t	t			0	10955	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/data/org.eclipse.birt.report.data.oda.jdbc.ui/src/org/eclipse/birt/report/data/oda/jdbc/ui/editors/JdbcSQLContentAssistProcessor.java/#L278-L308	1	1431	10955
1004	{ "output": "YES I found bad smells", "bad smells are": "1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void bind(PropertyList pList) throws FOPException { super.bind(pList); alignmentAdjust = pList.get(PR_ALIGNMENT_ADJUST).getLength(); alignmentBaseline = pList.get(PR_ALIGNMENT_BASELINE).getEnum(); baselineShift = pList.get(PR_BASELINE_SHIFT).getLength(); dominantBaseline = pList.get(PR_DOMINANT_BASELINE).getEnum(); leaderAlignment = pList.get(PR_LEADER_ALIGNMENT).getEnum(); leaderLength = pList.get(PR_LEADER_LENGTH).getLengthRange(); leaderPattern = pList.get(PR_LEADER_PATTERN).getEnum(); leaderPatternWidth = pList.get(PR_LEADER_PATTERN_WIDTH).getLength(); // use default rule thickness as a default ruleThickness = getPropertyMakerFor(PR_RULE_THICKNESS).make(pList).getLength(); switch(leaderPattern) { case EN_SPACE: // use Space break; case EN_RULE: // the following properties only apply // for leader-pattern = "rule" ruleStyle = pList.get(PR_RULE_STYLE).getEnum(); // use specified rule thickness to override default (established above) ruleThickness = pList.get(PR_RULE_THICKNESS).getLength(); break; case EN_DOTS: break; case EN_USECONTENT: // use inline layout manager to create inline areas // add the inline parent multiple times until leader full break; default: throw new RuntimeException("Invalid leader pattern: " + leaderPattern); } // letterSpacing = pList.get(PR_LETTER_SPACING); // textShadow = pList.get(PR_TEXT_SHADOW); }	long method	1. long method	t	t	t			0	9254	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fo/flow/Leader.java/#L72-L106	1	1004	9254
2011	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy, 3.Magic number, 4.Multiple nested if statements, 5.Use of a mixture of data types without clear reason, 6.Inconsistent indentation, 7.Duplicate code, 8.Missing comments, 9.Poor error handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean isValidSyntax( Object value ) { String strValue; if ( value == null ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, "null" ) ); } return false; } if ( value instanceof String ) { strValue = ( String ) value; } else if ( value instanceof byte[] ) { strValue = Strings.utf8ToString( ( byte[] ) value ); } else { strValue = value.toString(); } // We must have at least '(cp)', '(xr)' or '(ca)' if ( strValue.length() < 4 ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check the opening and closing parenthesis if ( ( strValue.charAt( 0 ) != '(' ) || ( strValue.charAt( strValue.length() - 1 ) != ')' ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } Set keywords = new HashSet<>(); int len = strValue.length() - 1; boolean needKeyword = true; // for ( int i = 1; i < len; /* */) { // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } int pos = i; // Search for a keyword while ( ( i < len ) && Chars.isAlphaASCII( strValue, pos ) ) { pos++; } if ( pos == i ) { // No keyword : error if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } String keyword = strValue.substring( i, pos ); i = pos; if ( !DSE_BITS.contains( keyword ) ) { // Unknown keyword if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check that the keyword has not been met if ( keywords.contains( keyword ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } keywords.add( keyword ); needKeyword = false; // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } // Do we have another keyword ? if ( ( i < len ) && ( strValue.charAt( i ) == '$' ) ) { // yes i++; needKeyword = true; } } // We are done if ( LOG.isDebugEnabled() ) { if ( needKeyword ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } else { LOG.debug( I18n.msg( I18n.MSG_13701_SYNTAX_VALID, value ) ); } } return !needKeyword; }	long method	Long method, 2Feature envy, 3Magic number, 4Multiple nested if statements, 5Use of a mixture of data types without clear reason, 6Inconsistent indentation, 7Duplicate code, 8Missing comments, 9Poor error handling	t	f	t	2.Feature envy, 3.Magic number, 4.Multiple nested if statements, 5.Use of a mixture of data types without clear reason, 6.Inconsistent indentation, 7.Duplicate code, 8.Missing comments, 9.Poor error handling.		0	12750	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/schema/syntaxCheckers/DseTypeSyntaxChecker.java/#L133-L273	2	2011	12750
1314	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public short syncAll(short syncMode) { short syncState = SYNC_STATE_IN_SYNC; /* vnc classes need to be synchronized with cloudstack */ s_logger.debug("syncing cloudstack db with vnc"); try { for (Class cls : _vncClasses) { /* lock the sync mode*/ _lockSyncMode.lock(); _rwMode = syncMode == DBSyncGeneric.SYNC_MODE_UPDATE; _dbSync.setSyncMode(syncMode); if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check start: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync start: " + DBSyncGeneric.getClassName(cls)); } if (_dbSync.sync(cls) == false) { if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.info("out of sync detected: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.info("out of sync detected and re-synced: " + DBSyncGeneric.getClassName(cls)); } syncState = SYNC_STATE_OUT_OF_SYNC; } if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check finish: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync finish: " + DBSyncGeneric.getClassName(cls)); } /* unlock the sync mode */ _lockSyncMode.unlock(); } } catch (Exception ex) { s_logger.warn("DB Synchronization", ex); syncState = SYNC_STATE_UNKNOWN; if (_lockSyncMode.isLocked()) { _lockSyncMode.unlock(); } } return syncState; }	long method	long method	t	t	t			0	10686	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/juniper-contrail/src/main/java/org/apache/cloudstack/network/contrail/management/ServerDBSyncImpl.java/#L129-L174	1	1314	10686
884	{ "output": "YES I found bad smells the bad smells are: 1. Long Method, 2. Data Class" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void visit(DirectedGraph dg) { CompoundDirectedGraph graph = (CompoundDirectedGraph) dg; NodeList roots = new NodeList(); // Find all subgraphs and root subgraphs for (int i = 0; i < graph.nodes.size(); i++) { Object node = graph.nodes.get(i); if (node instanceof Subgraph) { Subgraph s = (Subgraph) node; Insets padding = dg.getPadding(s); s.head = new SubgraphBoundary(s, padding, 0); s.tail = new SubgraphBoundary(s, padding, 2); Edge headToTail = new Edge(s.head, s.tail); headToTail.weight = 10; graph.edges.add(headToTail); graph.containment.add(headToTail); graph.subgraphs.add(s); if (s.getParent() == null) roots.add(s); if (s.members.size() == 2) // The 2 being the head and tail only graph.edges.add(new Edge(s.head, s.tail)); } } buildNestingTreeIndices(roots, 0); convertSubgraphEndpoints(graph); addContainmentEdges(graph); replaceSubgraphsWithBoundaries(graph); }	long method	1. long method, 2. data class	t	t	t	2. data class		0	8035	https://github.com/eclipse/gef-legacy/blob/14563a9e1f2af636a5364d195cf07dbff6f35fa6/org.eclipse.draw2d/src/org/eclipse/draw2d/graph/ConvertCompoundGraph.java/#L142-L171	1	884	8035
2696	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	Long method2 Feature envy	t	f	t			0	15319	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	2	2696	15319
747	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void addUTF8Region(StructurePointer clazz, String slotName, String additionalInfo, AbstractPointer utf8String) throws CorruptDataException { long offset = utf8String.getAddress() - clazz.getAddress(); /* We do not want to print UTF8 outside of the ROM class. */ long clazzSize = ((J9ROMClassPointer) clazz).romSize().longValue(); if ((offset > 0) && (offset < clazzSize)) { if (utf8String.notNull()) { long UTF8Length = getUTF8Length(J9UTF8Pointer.cast(utf8String)); if (utf8String.getAddress() < firstJ9_ROM_UTF8) { firstJ9_ROM_UTF8 = utf8String.getAddress(); } if ((utf8String.getAddress() + UTF8Length) > lastJ9_ROM_UTF8) { lastJ9_ROM_UTF8 = utf8String.getAddress() + UTF8Length; } classRegions.add(new J9ClassRegion(utf8String, SlotType.J9_ROM_UTF8, slotName, additionalInfo, UTF8Length, offset, true)); } } }	long method	Long method2 Feature envy	t	f	t			0	7016	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/debugtools/DDR_VM/src/com/ibm/j9ddr/vm29/tools/ddrinteractive/LinearDumper.java/#L277-L297	2	747	7016
581	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void writeRead() throws IOException { try (XSSFWorkbook workbook = XSSFTestDataSamples.openSampleWorkbook("WithVariousData.xlsx")) { XSSFSheet sheet1 = workbook.getSheetAt(0); XSSFSheet sheet2 = workbook.getSheetAt(1); assertTrue(sheet1.hasComments()); assertFalse(sheet2.hasComments()); // Change on comment on sheet 1, and add another into // sheet 2 Row r5 = sheet1.getRow(4); Comment cc5 = r5.getCell(2).getCellComment(); cc5.setAuthor("Apache POI"); cc5.setString(new XSSFRichTextString("Hello!")); Row r2s2 = sheet2.createRow(2); Cell c1r2s2 = r2s2.createCell(1); assertNull(c1r2s2.getCellComment()); Drawing dg = sheet2.createDrawingPatriarch(); Comment cc2 = dg.createCellComment(new XSSFClientAnchor()); cc2.setAuthor("Also POI"); cc2.setString(new XSSFRichTextString("A new comment")); c1r2s2.setCellComment(cc2); // Save, and re-load the file try (XSSFWorkbook workbookBack = XSSFTestDataSamples.writeOutAndReadBack(workbook)) { // Check we still have comments where we should do sheet1 = workbookBack.getSheetAt(0); sheet2 = workbookBack.getSheetAt(1); assertNotNull(sheet1.getRow(4).getCell(2).getCellComment()); assertNotNull(sheet1.getRow(6).getCell(2).getCellComment()); assertNotNull(sheet2.getRow(2).getCell(1).getCellComment()); // And check they still have the contents they should do assertEquals("Apache POI", sheet1.getRow(4).getCell(2).getCellComment().getAuthor()); assertEquals("Nick Burch", sheet1.getRow(6).getCell(2).getCellComment().getAuthor()); assertEquals("Also POI", sheet2.getRow(2).getCell(1).getCellComment().getAuthor()); assertEquals("Hello!", sheet1.getRow(4).getCell(2).getCellComment().getString().getString()); } } }	long method	long method, data class	t	t	t	data class		0	5786	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/ooxml/testcases/org/apache/poi/xssf/model/TestCommentsTable.java/#L128-L175	1	581	5786
1744	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @Nullable public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { // Invocation on EntityManager interface coming in... if (method.getName().equals("equals")) { // Only consider equal when proxies are identical. return (proxy == args[0]); } else if (method.getName().equals("hashCode")) { // Use hashCode of EntityManager proxy. return hashCode(); } else if (method.getName().equals("toString")) { // Deliver toString without touching a target EntityManager. return "Shared EntityManager proxy for target factory [" + this.targetFactory + "]"; } else if (method.getName().equals("getEntityManagerFactory")) { // JPA 2.0: return EntityManagerFactory without creating an EntityManager. return this.targetFactory; } else if (method.getName().equals("getCriteriaBuilder") || method.getName().equals("getMetamodel")) { // JPA 2.0: return EntityManagerFactory's CriteriaBuilder/Metamodel (avoid creation of EntityManager) try { return EntityManagerFactory.class.getMethod(method.getName()).invoke(this.targetFactory); } catch (InvocationTargetException ex) { throw ex.getTargetException(); } } else if (method.getName().equals("unwrap")) { // JPA 2.0: handle unwrap method - could be a proxy match. Class targetClass = (Class) args[0]; if (targetClass != null && targetClass.isInstance(proxy)) { return proxy; } } else if (method.getName().equals("isOpen")) { // Handle isOpen method: always return true. return true; } else if (method.getName().equals("close")) { // Handle close method: suppress, not valid. return null; } else if (method.getName().equals("getTransaction")) { throw new IllegalStateException( "Not allowed to create transaction on shared EntityManager - " + "use Spring transactions or EJB CMT instead"); } // Determine current EntityManager: either the transactional one // managed by the factory or a temporary one for the given invocation. EntityManager target = EntityManagerFactoryUtils.doGetTransactionalEntityManager( this.targetFactory, this.properties, this.synchronizedWithTransaction); if (method.getName().equals("getTargetEntityManager")) { // Handle EntityManagerProxy interface. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } return target; } else if (method.getName().equals("unwrap")) { Class targetClass = (Class) args[0]; if (targetClass == null) { return (target != null ? target : proxy); } // We need a transactional target now. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } // Still perform unwrap call on target EntityManager. } else if (transactionRequiringMethods.contains(method.getName())) { // We need a transactional target now, according to the JPA spec. // Otherwise, the operation would get accepted but remain unflushed... if (target == null || (!TransactionSynchronizationManager.isActualTransactionActive() && !target.getTransaction().isActive())) { throw new TransactionRequiredException("No EntityManager with actual transaction available " + "for current thread - cannot reliably process '" + method.getName() + "' call"); } } // Regular EntityManager operations. boolean isNewEm = false; if (target == null) { logger.debug("Creating new EntityManager for shared EntityManager invocation"); target = (!CollectionUtils.isEmpty(this.properties) ? this.targetFactory.createEntityManager(this.properties) : this.targetFactory.createEntityManager()); isNewEm = true; } // Invoke method on current EntityManager. try { Object result = method.invoke(target, args); if (result instanceof Query) { Query query = (Query) result; if (isNewEm) { Class[] ifcs = ClassUtils.getAllInterfacesForClass(query.getClass(), this.proxyClassLoader); result = Proxy.newProxyInstance(this.proxyClassLoader, ifcs, new DeferredQueryInvocationHandler(query, target)); isNewEm = false; } else { EntityManagerFactoryUtils.applyTransactionTimeout(query, this.targetFactory); } } return result; } catch (InvocationTargetException ex) { throw ex.getTargetException(); } finally { if (isNewEm) { EntityManagerFactoryUtils.closeEntityManager(target); } } }	long method	Long Method	t	f	t			0	11849	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-orm/src/main/java/org/springframework/orm/jpa/SharedEntityManagerCreator.java/#L212-L331	1	1744	11849
1200	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Code duplication (in the if statements for different subclasses of colWidth) 4. Inconsistent formatting (spacing, use of braces)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	Long method2 Feature envy3 Code duplication (in the if statements for different subclasses of colWidth)4 Inconsistent formatting (spacing, use of braces)	t	f	t	use of braces)		0	10279	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	2	1200	10279
2006	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Action createAction(final ProjectInfo project, final TeamConfiguration team) { Check.notNull(project, "project"); //$NON-NLS-1$ Check.notNull(team, "team"); //$NON-NLS-1$ final String projectGUID = project.getGUID(); // Omit the team name for the default team final String actionName = team.isDefaultTeam() ? project.getName() : MessageFormat.format( Messages.getString("TeamExplorerControl.ProjectSlashTeamFormat"), //$NON-NLS-1$ project.getName(), team.getTeamName()); final Action action = new Action(actionName) { @Override public void run() { final String beforeChangeProjectGUID = context.getCurrentProjectInfo().getGUID(); if (!projectGUID.equals(beforeChangeProjectGUID) || !team.equals(context.getCurrentTeam())) { context.setCurrentProject(projectGUID); context.setCurrentTeam(team); TFSCommonUIClientPlugin.getDefault().projectOrTeamChanged(); // Only invoke this listener if team project changed if (!projectGUID.equals(beforeChangeProjectGUID)) { final boolean tfvc = context.getCurrentProjectInfo().getSourceControlCapabilityFlags().contains( SourceControlCapabilityFlags.TFS); TFSCommonUIClientPlugin.getDefault().sourceControlChanged(tfvc); } } } }; if (projectGUID.equals(context.getCurrentProjectInfo().getGUID()) && team.equals(context.getCurrentTeam())) { action.setChecked(true); } return action; }	long method	Long method2 Feature envy	t	f	t			0	12721	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.client.common.ui/src/com/microsoft/tfs/client/common/ui/controls/teamexplorer/TeamExplorerControl.java/#L607-L647	2	2006	12721
1317	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void parseArray(NameSegment nameSeg) { String name = nameSeg.getPath(); ArraySegment arraySeg = ((ArraySegment) nameSeg.getChild()); int index = arraySeg.getIndex(); RequestedColumnImpl member = getImpl(name); if (member == null) { member = new RequestedColumnImpl(this, name); projection.add(name, member); } else if (member.isSimple()) { // Saw both a and a[x]. Occurs in project list. // Project all elements. member.projectAllElements(); return; } else if (member.hasIndex(index)) { throw UserException .validationError() .message("Duplicate array index in project list: %s[%d]", member.fullName(), index) .build(logger); } member.addIndex(index); // Drills SQL parser does not support map arrays: a[0].c // But, the SchemaPath does support them, so no harm in // parsing them here. if (! arraySeg.isLastPath()) { parseInternal(nameSeg); } }	long method	long method, feature envy	t	t	t	feature envy		0	10691	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/rowSet/project/RequestedTupleImpl.java/#L260-L291	1	1317	10691
1033	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public T get(Duration duration) throws InterruptedException, ExecutionException, TimeoutException { long start = System.currentTimeMillis(); Long end = duration==null ? null : start + duration.toMillisecondsRoundingUp(); while (end==null || end > System.currentTimeMillis()) { if (cancelled) throw new CancellationException(); if (internalFuture == null) { synchronized (this) { long remaining = end - System.currentTimeMillis(); if (internalFuture==null && remaining>0) wait(remaining); } } if (internalFuture != null) break; } Long remaining = end==null ? null : end - System.currentTimeMillis(); if (isDone()) { return internalFuture.get(1, TimeUnit.MILLISECONDS); } else if (remaining == null) { return internalFuture.get(); } else if (remaining > 0) { return internalFuture.get(remaining, TimeUnit.MILLISECONDS); } else { throw new TimeoutException(); } }	long method	long method	t	t	t			0	9391	https://github.com/apache/incubator-brooklyn/blob/337a5d22d5e9c98cc96ea1085383cbed1ee0b741/brooklyn-server/core/src/main/java/org/apache/brooklyn/util/core/task/BasicTask.java/#L437-L462	1	1033	9391
224	{ "message": "YES I found bad smells", "bad smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void processSelectedKeys() { for (Iterator i = selector.selectedKeys().iterator(); i.hasNext();) { SelectionKey key = i.next(); i.remove(); final SelectableChannel sc = key.channel(); // do not attempt to read/write until handle is set (e.g. after handshake is completed) if (key.isReadable() && key.attachment() != null) { read(key); } else if (key.isWritable() && key.attachment() != null) { write(key); } else if (key.isAcceptable()) { assert sc == serverSocketChannel; accept(); } else if (key.isConnectable()) { finishConnect(key); } } }	long method	long method, feature envy	t	t	t	feature envy		0	2418	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-ipc/src/main/java/org/apache/hyracks/ipc/impl/IPCConnectionManager.java/#L213-L230	1	224	2418
2640	{ "output": "YES, I found bad smells. The bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	1. long method	t	t	t			0	15143	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	1	2640	15143
2138	after setting up and validating the experiment. * * * * @param airavataExperiment * @return The Experiment * @throws org.apache.airavata.registry.api.exception.RegistryServiceException */APPLICATION_LOGIC, YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	Long method2 Feature envy	t	f	t			0	13259	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	2	2138	13259
1604	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void getSuggestions(final String query) { if (query == null || query.isEmpty()) { return; } // Initialize the locatorSugestion parameters locatorParams(SUGGEST_PLACE); // Attach a listener to the locator task since // the LocatorTask may or may not be loaded the // the very first time a user types text into the search box. // If the Locator is already loaded, the following listener // is invoked immediately. mLocator.addDoneLoadingListener(new Runnable() { @Override public void run() { // Does this locator support suggestions? if (mLocator.getLoadStatus().name() != LoadStatus.LOADED.name()){ //Log.i(TAG,"##### " + mLocator.getLoadStatus().name()); } else if (!mLocator.getLocatorInfo().isSupportsSuggestions()){ return; } //og.i(TAG,"****** " + mLocator.getLoadStatus().name()); final ListenableFuture> suggestionsFuture = mLocator.suggestAsync(query, suggestParams); // Attach a done listener that executes upon completion of the async call suggestionsFuture.addDoneListener(new Runnable() { @Override public void run() { try { // Get the suggestions returned from the locator task. // Store retrieved suggestions for future use (e.g. if the user // selects a retrieved suggestion, it can easily be // geocoded). mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList); } catch (Exception e) { Log.e(TAG, "Error on getting suggestions " + e.getMessage()); } } }); } }); // Initiate the asynchronous call mLocator.loadAsync(); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11442	https://github.com/Esri/maps-app-android/blob/1af1f74ece08f678ce7de7bf173034d30e1cb100/maps-app/src/main/java/com/esri/android/mapsapp/MapFragment.java/#L735-L781	2	1604	11442
474	{"message": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean supportsParameter(MethodParameter parameter) { if (!super.supportsParameter(parameter)) { return false; } Class type = parameter.getParameterType(); if (!type.isInterface()) { return false; } // Annotated parameter if (parameter.getParameterAnnotation(ProjectedPayload.class) != null) { return true; } // Annotated type if (AnnotatedElementUtils.findMergedAnnotation(type, ProjectedPayload.class) != null) { return true; } // Fallback for only user defined interfaces String packageName = ClassUtils.getPackageName(type); return !IGNORED_PACKAGES.stream().anyMatch(it -> packageName.startsWith(it)); }	long method	1. long method	t	t	f		long method	0	4578	https://github.com/spring-projects/spring-data-commons/blob/48c9297118e18273a0a3dfe3cf2f9a8ffd8fdca7/src/main/java/org/springframework/data/web/ProxyingHandlerMethodArgumentResolver.java/#L88-L115	1	474	4578
366	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected VectorizedRowBatch setupOverflowBatch() throws HiveException { int initialColumnCount = vContext.firstOutputColumnIndex(); VectorizedRowBatch overflowBatch; int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; overflowBatch = new VectorizedRowBatch(totalNumColumns); // First, just allocate just the output columns we will be using. for (int i = 0; i < outputProjectionColumnMap.length; i++) { int outputColumn = outputProjectionColumnMap[i]; String typeName = outputTypeInfos[i].getTypeName(); allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); } // Now, add any scratch columns needed for children operators. int outputColumn = initialColumnCount; for (String typeName : vOutContext.getScratchColumnTypeNames()) { allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); } overflowBatch.projectedColumns = outputProjectionColumnMap; overflowBatch.projectionSize = outputProjectionColumnMap.length; overflowBatch.reset(); return overflowBatch; }	long method	1. long method, 2. data class	t	t	f	2. data class	long method	0	3740	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java/#L241-L268	1	366	3740
3806	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private JPEGImageMetadataFormat() { super(JPEG.nativeImageMetadataFormatName, CHILD_POLICY_ALL); addElement("JPEGvariety", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_CHOICE); addElement("markerSequence", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_SEQUENCE); addElement("app0JFIF", "JPEGvariety", CHILD_POLICY_SOME); addStreamElements("markerSequence"); addElement("app14Adobe", "markerSequence", CHILD_POLICY_EMPTY); addElement("sof", "markerSequence", 1, 4); addElement("sos", "markerSequence", 1, 4); addElement("JFXX", "app0JFIF", 1, Integer.MAX_VALUE); addElement("app0JFXX", "JFXX", CHILD_POLICY_CHOICE); addElement("app2ICC", "app0JFIF", CHILD_POLICY_EMPTY); addAttribute("app0JFIF", "majorVersion", DATATYPE_INTEGER, false, "1", "0", "255", true, true); addAttribute("app0JFIF", "minorVersion", DATATYPE_INTEGER, false, "2", "0", "255", true, true); List resUnits = new ArrayList<>(); resUnits.add("0"); resUnits.add("1"); resUnits.add("2"); addAttribute("app0JFIF", "resUnits", DATATYPE_INTEGER, false, "0", resUnits); addAttribute("app0JFIF", "Xdensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "Ydensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "thumbWidth", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addAttribute("app0JFIF", "thumbHeight", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addElement("JFIFthumbJPEG", "app0JFXX", CHILD_POLICY_SOME); addElement("JFIFthumbPalette", "app0JFXX", CHILD_POLICY_EMPTY); addElement("JFIFthumbRGB", "app0JFXX", CHILD_POLICY_EMPTY); List codes = new ArrayList<>(); codes.add("16"); // Hex 10 codes.add("17"); // Hex 11 codes.add("19"); // Hex 13 addAttribute("app0JFXX", "extensionCode", DATATYPE_INTEGER, false, null, codes); addChildElement("markerSequence", "JFIFthumbJPEG"); addAttribute("JFIFthumbPalette", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbPalette", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addObjectValue("app2ICC", ICC_Profile.class, false, null); addAttribute("app14Adobe", "version", DATATYPE_INTEGER, false, "100", "100", "255", true, true); addAttribute("app14Adobe", "flags0", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); addAttribute("app14Adobe", "flags1", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); List transforms = new ArrayList<>(); transforms.add("0"); transforms.add("1"); transforms.add("2"); addAttribute("app14Adobe", "transform", DATATYPE_INTEGER, true, null, transforms); addElement("componentSpec", "sof", CHILD_POLICY_EMPTY); List procs = new ArrayList<>(); procs.add("0"); procs.add("1"); procs.add("2"); addAttribute("sof", "process", DATATYPE_INTEGER, false, null, procs); addAttribute("sof", "samplePrecision", DATATYPE_INTEGER, false, "8"); addAttribute("sof", "numLines", DATATYPE_INTEGER, false, null, "0", "65535", true, true); addAttribute("sof", "samplesPerLine", DATATYPE_INTEGER, false, null, "0", "65535", true, true); List comps = new ArrayList<>(); comps.add("1"); comps.add("2"); comps.add("3"); comps.add("4"); addAttribute("sof", "numFrameComponents", DATATYPE_INTEGER, false, null, comps); addAttribute("componentSpec", "componentId", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("componentSpec", "HsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); addAttribute("componentSpec", "VsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); List tabids = new ArrayList<>(); tabids.add("0"); tabids.add("1"); tabids.add("2"); tabids.add("3"); addAttribute("componentSpec", "QtableSelector", DATATYPE_INTEGER, true, null, tabids); addElement("scanComponentSpec", "sos", CHILD_POLICY_EMPTY); addAttribute("sos", "numScanComponents", DATATYPE_INTEGER, true, null, comps); addAttribute("sos", "startSpectralSelection", DATATYPE_INTEGER, false, "0", "0", "63", true, true); addAttribute("sos", "endSpectralSelection", DATATYPE_INTEGER, false, "63", "0", "63", true, true); addAttribute("sos", "approxHigh", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("sos", "approxLow", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("scanComponentSpec", "componentSelector", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("scanComponentSpec", "dcHuffTable", DATATYPE_INTEGER, true, null, tabids); addAttribute("scanComponentSpec", "acHuffTable", DATATYPE_INTEGER, true, null, tabids); }	long method	long method	t	t	t			0	9657	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/com/sun/imageio/plugins/jpeg/JPEGImageMetadataFormat.java/#L43-L338	1	3806	9657
1595	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static boolean evaluateImpl(Object o1, Object o2) { // TODO: maybe we need a comparison "strategy" here, instead of // a switch of all possible cases? ... there were other requests for // more relaxed type-unsafe comparison (e.g. numbers to strings) if (o1 == null && o2 == null) { return true; } else if (o1 != null) { // Per CAY-419 we perform 'in' comparison if one object is a list, and other is not if (o2 instanceof Collection) { for (Object element : ((Collection) o2)) { if (element != null && Evaluator.evaluator(element).eq(element, o1)) { return true; } } return false; } return Evaluator.evaluator(o1).eq(o1, o2); } return false; }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11408	https://github.com/apache/cayenne/blob/5be5235ed1c02589b6300e9729cf3c308c0173e8/cayenne-server/src/main/java/org/apache/cayenne/exp/parser/ASTEqual.java/#L76-L97	1	1595	11408
3334	{"message": "YES I found bad smells, the bad smells are: 1. Long method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Nullable public static PropertyEditor findEditorByConvention(@Nullable Class targetType) { if (targetType == null || targetType.isArray() || unknownEditorTypes.contains(targetType)) { return null; } ClassLoader cl = targetType.getClassLoader(); if (cl == null) { try { cl = ClassLoader.getSystemClassLoader(); if (cl == null) { return null; } } catch (Throwable ex) { // e.g. AccessControlException on Google App Engine if (logger.isDebugEnabled()) { logger.debug("Could not access system ClassLoader: " + ex); } return null; } } String editorName = targetType.getName() + "Editor"; try { Class editorClass = cl.loadClass(editorName); if (!PropertyEditor.class.isAssignableFrom(editorClass)) { if (logger.isInfoEnabled()) { logger.info("Editor class [" + editorName + "] does not implement [java.beans.PropertyEditor] interface"); } unknownEditorTypes.add(targetType); return null; } return (PropertyEditor) instantiateClass(editorClass); } catch (ClassNotFoundException ex) { if (logger.isTraceEnabled()) { logger.trace("No property editor [" + editorName + "] found for type " + targetType.getName() + " according to 'Editor' suffix convention"); } unknownEditorTypes.add(targetType); return null; } }	long method	1. long method	t	t	t			0	6247	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-beans/src/main/java/org/springframework/beans/BeanUtils.java/#L504-L546	1	3334	6247
1991	YES, I found bad smells The bad smells are: 1. Duplicated code 2. Long method 3. Feature envy 4. Magic numbers (specific values used without explanation) 5. Primitive obsession (using basic data types instead of creating custom classes for data)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void start(Stage stage) { try { // create splitPane pane and JavaFX app scene SplitPane splitPane = new SplitPane(); splitPane.setOrientation(Orientation.VERTICAL); Scene fxScene = new Scene(splitPane); // set title, size, and add JavaFX scene to stage stage.setTitle("Feature Layer Rendering Mode Map Sample"); stage.setWidth(800); stage.setHeight(700); stage.setScene(fxScene); stage.show(); // create a map (top) and set it to render all features in static rendering mode ArcGISMap mapTop = new ArcGISMap(); mapTop.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); // create a map (bottom) and set it to render all features in dynamic rendering mode ArcGISMap mapBottom = new ArcGISMap(); mapBottom.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); // creating top map view mapViewTop = new MapView(); mapViewTop.setMap(mapTop); splitPane.getItems().add(mapViewTop); // creating bottom map view mapViewBottom = new MapView(); mapViewBottom.setMap(mapBottom); splitPane.getItems().add(mapViewBottom); // create service feature table using a point, polyline, and polygon service ServiceFeatureTable pointServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/0"); ServiceFeatureTable polylineServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/8"); ServiceFeatureTable polygonServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/9"); // create feature layer from service feature tables FeatureLayer pointFeatureLayer = new FeatureLayer(pointServiceFeatureTable); FeatureLayer polylineFeatureLayer = new FeatureLayer(polylineServiceFeatureTable); FeatureLayer polygonFeatureLayer = new FeatureLayer(polygonServiceFeatureTable); // add each layer to top and bottom map mapTop.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer, polylineFeatureLayer, polygonFeatureLayer)); mapBottom.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer.copy(), polylineFeatureLayer.copy(), polygonFeatureLayer.copy())); // viewpoint locations for map view to zoom in and out to Viewpoint zoomOutPoint = new Viewpoint(new Point(-118.37, 34.46, SpatialReferences.getWgs84()), 650000, 0); Viewpoint zoomInPoint = new Viewpoint(new Point(-118.45, 34.395, SpatialReferences.getWgs84()), 50000, 90); mapViewTop.setViewpoint(zoomOutPoint); mapViewBottom.setViewpoint(zoomOutPoint); //loop an animation into and out from the zoom in point (5 seconds each) with a 2 second gap between zooming timeline = new Timeline(); timeline.setCycleCount(Animation.INDEFINITE); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(7), event -> zoomTo(zoomInPoint))); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(14), event -> zoomTo(zoomOutPoint))); timeline.play(); } catch (Exception e) { // on any error, display the stack trace. e.printStackTrace(); } }	long method	Duplicated code2 Long method3 Feature envy4 Magic numbers (specific values used without explanation)5 Primitive obsession (using basic data types instead of creating custom classes for data)	t	f	t			0	12682	https://github.com/Esri/arcgis-runtime-samples-java/blob/c7a0b309586495ff9cc9dbed129e411943547793/src/main/java/com/esri/samples/featurelayers/feature_layer_rendering_mode_map/FeatureLayerRenderingModeMapSample.java/#L45-L114	2	1991	12682
650	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void reloadExpectedTimeAndConfig(SLACalcStatus slaCalc) throws JPAExecutorException { SLARegistrationBean regBean = SLARegistrationQueryExecutor.getInstance().get( SLARegQuery.GET_SLA_EXPECTED_VALUE_CONFIG, slaCalc.getId()); if (regBean.getExpectedDuration() > 0) { slaCalc.getSLARegistrationBean().setExpectedDuration(regBean.getExpectedDuration()); } if (regBean.getExpectedEnd() != null) { slaCalc.getSLARegistrationBean().setExpectedEnd(regBean.getExpectedEnd()); } if (regBean.getExpectedStart() != null) { slaCalc.getSLARegistrationBean().setExpectedStart(regBean.getExpectedStart()); } if (regBean.getSLAConfigMap().containsKey(OozieClient.SLA_DISABLE_ALERT)) { slaCalc.getSLARegistrationBean().addToSLAConfigMap(OozieClient.SLA_DISABLE_ALERT, regBean.getSLAConfigMap().get(OozieClient.SLA_DISABLE_ALERT)); } if (regBean.getNominalTime() != null) { slaCalc.getSLARegistrationBean().setNominalTime(regBean.getNominalTime()); } }	long method	Long method2 Feature envy	t	f	t			0	6383	https://github.com/apache/oozie/blob/491e73ee9f941dfb25dfe92121fb033295ef42ee/core/src/main/java/org/apache/oozie/sla/SLACalculatorMemory.java/#L540-L560	2	650	6383
715	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public WikiPage getPageInfo( String page, int version ) throws ProviderException { int latest = findLatestVersion(page); int realVersion; WikiPage p = null; if( version == WikiPageProvider.LATEST_VERSION || version == latest || (version == 1 && latest == -1) ) { // // Yes, we need to talk to the top level directory // to get this version. // // I am listening to Press Play On Tape's guitar version of // the good old C64 "Wizardry" -tune at this moment. // Oh, the memories... // realVersion = (latest >= 0) ? latest : 1; p = super.getPageInfo( page, WikiPageProvider.LATEST_VERSION ); if( p != null ) { p.setVersion( realVersion ); } } else { // // The file is not the most recent, so we'll need to // find it from the deep trenches of the "OLD" directory // structure. // realVersion = version; File dir = findOldPageDir( page ); if( !dir.exists() || !dir.isDirectory() ) { return null; } File file = new File( dir, version+FILE_EXT ); if( file.exists() ) { p = new WikiPage( m_engine, page ); p.setLastModified( new Date(file.lastModified()) ); p.setVersion( version ); } } // // Get author and other metadata information // (Modification date has already been set.) // if( p != null ) { try { Properties props = getPageProperties( page ); String author = props.getProperty( realVersion+".author" ); if ( author == null ) { // we might not have a versioned author because the // old page was last maintained by FileSystemProvider Properties props2 = getHeritagePageProperties( page ); author = props2.getProperty( WikiPage.AUTHOR ); } if ( author != null ) { p.setAuthor( author ); } String changenote = props.getProperty( realVersion+".changenote" ); if( changenote != null ) p.setAttribute( WikiPage.CHANGENOTE, changenote ); // Set the props values to the page attributes setCustomProperties(p, props); } catch( IOException e ) { log.error( "Cannot get author for page"+page+": ", e ); } } return p; }	long method	long method, feature envy	t	t	t	feature envy		0	6821	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/providers/VersioningFileProvider.java/#L540-L631	1	715	6821
2575	{"message": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: InitializeParams get(String id) throws LanguageServerException { InitializeParams initializeParams = new InitializeParams(); LOG.debug("Initialize params constructing: started"); Boolean locality = localityRegistry.get(id); LOG.debug("Locality: {}", locality); Integer processId = locality ? ProcessIdProvider.get() : null; initializeParams.setProcessId(processId); LOG.debug("Process id: {}", processId); String projectsRoot = projectsRootRegistry.getOrNull(id); String rootPath; if (projectsRoot != null) { rootPath = projectsRoot; } else { rootPath = Paths.get(rootUri).toAbsolutePath().toString(); } initializeParams.setRootPath(rootPath); LOG.debug("Root path: {}", rootPath); String rootUri; if (projectsRoot != null) { rootUri = Paths.get(projectsRoot).toUri().toString(); } else { rootUri = this.rootUri.toString(); } initializeParams.setRootUri(rootUri); LOG.debug("Root URI: {}", rootUri); ClientCapabilities capabilities = ClientCapabilitiesProvider.get(); initializeParams.setCapabilities(capabilities); LOG.debug("Client capabilities: {}", capabilities); String clientName = ClientCapabilitiesProvider.CLIENT_NAME; initializeParams.setClientName(clientName); LOG.debug("Client name: {}", clientName); LOG.debug("Initialize params constructing: finished"); return initializeParams; }	long method	1. long method	t	t	t			0	14915	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/wsagent/che-core-api-languageserver/src/main/java/org/eclipse/che/api/languageserver/InitializeParamsProvider.java/#L73-L114	1	2575	14915
1901	{ "output": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("unchecked") private void extractDataAndSave(IBatchDAO batchDAO) { if (logger.isDebugEnabled()) { logger.debug("Extract data and save"); } long startTime = System.currentTimeMillis(); try { HistogramMetric.Timer timer = prepareLatency.createTimer(); List batchAllCollection = new LinkedList(); try { List persistenceWorkers = new ArrayList<>(); persistenceWorkers.addAll(IndicatorProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(RecordProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(TopNProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.forEach(worker -> { if (logger.isDebugEnabled()) { logger.debug("extract {} worker data and save", worker.getClass().getName()); } if (worker.flushAndSwitch()) { List batchCollection = worker.buildBatchCollection(); if (logger.isDebugEnabled()) { logger.debug("extract {} worker data size: {}", worker.getClass().getName(), batchCollection.size()); } batchAllCollection.addAll(batchCollection); } }); if (debug) { logger.info("build batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } } finally { timer.finish(); } HistogramMetric.Timer executeLatencyTimer = executeLatency.createTimer(); try { batchDAO.batchPersistence(batchAllCollection); } finally { executeLatencyTimer.finish(); } } catch (Throwable e) { errorCounter.inc(); logger.error(e.getMessage(), e); } finally { if (logger.isDebugEnabled()) { logger.debug("persistence data save finish"); } } if (debug) { logger.info("batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } }	long method	1. long method, 2. data class	t	t	f	2. data class	long method	0	12362	https://github.com/apache/incubator-skywalking/blob/32c4bced8a7e055003d6e4bea0fd8f8361bec8e5/oap-server/server-core/src/main/java/org/apache/skywalking/oap/server/core/storage/PersistenceTimer.java/#L72-L129	1	1901	12362
1897	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Implementation(minSdk = LOLLIPOP) @HiddenApi protected static void nativeGetPointerCoords( long nativePtr, int pointerIndex, int historyPos, PointerCoords outPointerCoordsObj) { NativeInput.MotionEvent event = getNativeMotionEvent(nativePtr); int pointerCount = event.getPointerCount(); validatePointerIndex(pointerIndex, pointerCount); validatePointerCoords(outPointerCoordsObj); NativeInput.PointerCoords rawPointerCoords; if (historyPos == HISTORY_CURRENT) { rawPointerCoords = event.getRawPointerCoords(pointerIndex); } else { int historySize = event.getHistorySize(); validateHistoryPos(historyPos, historySize); rawPointerCoords = event.getHistoricalRawPointerCoords(pointerIndex, historyPos); } pointerCoordsFromNative( rawPointerCoords, event.getXOffset(), event.getYOffset(), outPointerCoordsObj); }	long method	long method	t	t	t			0	12341	https://github.com/robolectric/robolectric/blob/525bfcfc0e0ed1653ad57341b564c6857e11dc50/shadows/framework/src/main/java/org/robolectric/shadows/ShadowMotionEvent.java/#L386-L405	1	1897	12341
1136	YES I found bad smells the bad smells are: 1. long method, 2. feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void baselineLayout(int targetSpan, int axis, int[] offsets, int[] spans) { int totalAscent = (int)(targetSpan * getAlignment(axis)); int totalDescent = targetSpan - totalAscent; int n = getViewCount(); for (int i = 0; i < n; i++) { View v = getView(i); float align = v.getAlignment(axis); float viewSpan; if (v.getResizeWeight(axis) > 0) { // if resizable then resize to the best fit // the smallest span possible float minSpan = v.getMinimumSpan(axis); // the largest span possible float maxSpan = v.getMaximumSpan(axis); if (align == 0.0f) { // if the alignment is 0 then we need to fit into the descent viewSpan = Math.max(Math.min(maxSpan, totalDescent), minSpan); } else if (align == 1.0f) { // if the alignment is 1 then we need to fit into the ascent viewSpan = Math.max(Math.min(maxSpan, totalAscent), minSpan); } else { // figure out the span that we must fit into float fitSpan = Math.min(totalAscent / align, totalDescent / (1.0f - align)); // fit into the calculated span viewSpan = Math.max(Math.min(maxSpan, fitSpan), minSpan); } } else { // otherwise use the preferred spans viewSpan = v.getPreferredSpan(axis); } offsets[i] = totalAscent - (int)(viewSpan * align); spans[i] = (int)viewSpan; } }	long method	long method, 2 feature envy	t	f	t	2. feature envy		0	10058	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/javax/swing/text/BoxView.java/#L956-L996	2	1136	10058
3912	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static DimFilter negate(final DimFilter filter) { if (Filtration.matchEverything().equals(filter)) { return Filtration.matchNothing(); } else if (Filtration.matchNothing().equals(filter)) { return Filtration.matchEverything(); } else if (filter instanceof NotDimFilter) { return ((NotDimFilter) filter).getField(); } else if (filter instanceof BoundDimFilter) { final BoundDimFilter negated = Bounds.not((BoundDimFilter) filter); return negated != null ? negated : new NotDimFilter(filter); } else { return new NotDimFilter(filter); } }	long method	Long method2 Feature envy	t	f	t			0	10243	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/sql/src/main/java/org/apache/druid/sql/calcite/filtration/CombineAndSimplifyBounds.java/#L221-L235	2	3912	10243
2342	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void validateArrayStep(String arrStep) throws QueryException { boolean wildAllowed = true; // * is allowed initially boolean digitAllowed = true; // Digit is allowed as next char boolean commaAllowed = false; // Comma is allowed as next char boolean afterDigit = false; // Last non-space was a digit boolean toAllowed = false; // Any space after digit allows "to" boolean afterTo = false; // After "to" expecting range end boolean toInProgress = false; // Prior char was 't' in "to" boolean spaceRequired = false; // A whitespace is required (after "to") boolean digitRequired = false; // Digit required after comma or "to" for (int i = 1; i < arrStep.length() - 1; ++i) { char currentChar = arrStep.charAt(i); if (currentChar == '*') { if (!wildAllowed) throwArrayException(arrStep); wildAllowed = false; // We've seen the only allowed wildcard digitAllowed = false; // Only whitespace is allowed afterward } else if (currentChar == ',') { if (!commaAllowed) throwArrayException(arrStep); commaAllowed = false; toAllowed = false; afterDigit = false; afterTo = false; digitRequired = true; // Next non-space must be a digit } else if ("0123456789".indexOf(currentChar) >= 0) { if (!digitAllowed) throwArrayException(arrStep); wildAllowed = false; // Wildcard no longer allowed commaAllowed = true; afterDigit = true; digitRequired = false; } else if (" \t\n\r".indexOf(currentChar) >= 0) { // Whitespace not allowed when parsing "to" if (toInProgress) throwArrayException(arrStep); if (afterDigit) { // Last non-space was a digit - next non-space is "to" or comma digitAllowed = false; toAllowed = !afterTo; commaAllowed = true; } else if (spaceRequired) { // This is the whitespace required after "to" digitAllowed = true; spaceRequired = false; digitRequired = true; // At least one digit must follow } } else if (currentChar == 't') { if (!toAllowed) throwArrayException(arrStep); toInProgress = true; // Next char must be the 'o' in "to" commaAllowed = false; afterDigit = false; } else if (currentChar == 'o') { if (!toInProgress) throwArrayException(arrStep); toInProgress = false; toAllowed = false; afterTo = true; spaceRequired = true; // "to" must be followed by whitespace } else { // Invalid character throwArrayException(arrStep); } } // Empty array or only whitespace found if (wildAllowed) throwArrayException(arrStep); // Incomplete "to" or comma sequence at end of subscript if (toInProgress || spaceRequired || digitRequired) throwArrayException(arrStep); }	long method	long method	t	t	t			0	14179	https://github.com/oracle/soda-for-java/blob/352634e26b5a0d9d529d5436f7a4c8e21ed1dbf0/src/oracle/json/parser/PathParser.java/#L138-L239	1	2342	14179
1859	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Inconsistent formatting 4. Resource leak - the code is not properly handling and closing resources such as files or connections 5. Potential NullPointerException in line 36 6. Magic numbers - hardcoded values in the code that are not properly explained or documented 7. Possible duplicate code 8. Overcomplicated code - the use of reflection to set caller context could be simplified 9. Lack of exception handling or error checking 10. Possible poor naming of variables and methods	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public PigServer(PigContext context, boolean connect) throws ExecException { this.pigContext = context; currDAG = new Graph(false); jobName = pigContext.getProperties().getProperty( PigContext.JOB_NAME, PigContext.JOB_NAME_PREFIX + ":DefaultJobName"); if (connect) { pigContext.connect(); } this.filter = new BlackAndWhitelistFilter(this); addHadoopProperties(); addJarsFromProperties(); markPredeployedJarsFromProperties(); if (ScriptState.get() == null) { // If Pig was started via command line, ScriptState should have been // already initialized in Main. If so, we should not overwrite it. ScriptState.start(pigContext.getExecutionEngine().instantiateScriptState()); } PigStats.start(pigContext.getExecutionEngine().instantiatePigStats()); // log ATS event includes the caller context String auditId = PigATSClient.getPigAuditId(pigContext); String callerId = (String)pigContext.getProperties().get(PigConfiguration.PIG_LOG_TRACE_ID); log.info("Pig Script ID for the session: " + auditId); if (callerId != null) { log.info("Caller ID for session: " + callerId); } if (Boolean.parseBoolean(pigContext.getProperties() .getProperty(PigConfiguration.PIG_ATS_ENABLED))) { if (Boolean.parseBoolean(pigContext.getProperties() .getProperty("yarn.timeline-service.enabled", "false"))) { PigATSClient.ATSEvent event = new PigATSClient.ATSEvent(auditId, callerId); try { PigATSClient.getInstance().logEvent(event); } catch (Exception e) { log.warn("Error posting to ATS: ", e); } } else { log.warn("ATS is disabled since" + " yarn.timeline-service.enabled set to false"); } } // set hdfs caller context Class callerContextClass = null; try { callerContextClass = Class.forName("org.apache.hadoop.ipc.CallerContext"); } catch (ClassNotFoundException e) { // If pre-Hadoop 2.8.0, skip setting CallerContext } if (callerContextClass != null) { try { // Reflection for the following code since it is only available since hadoop 2.8.0: // CallerContext hdfsContext = new CallerContext.Builder(auditId).build(); // CallerContext.setCurrent(hdfsContext); Class callerContextBuilderClass = Class.forName("org.apache.hadoop.ipc.CallerContext$Builder"); Constructor callerContextBuilderConstruct = callerContextBuilderClass.getConstructor(String.class); Object builder = callerContextBuilderConstruct.newInstance(auditId); Method builderBuildMethod = builder.getClass().getMethod("build"); Object hdfsContext = builderBuildMethod.invoke(builder); Method callerContextSetCurrentMethod = callerContextClass.getMethod("setCurrent", hdfsContext.getClass()); callerContextSetCurrentMethod.invoke(callerContextClass, hdfsContext); } catch (Exception e) { // Shall not happen unless API change in future Hadoop commons throw new ExecException(e); } } }	long method	Long method2 Feature envy3 Inconsistent formatting 4 Resource leak - the code is not properly handling and closing resources such as files or connections 5 Potential NullPointerException in line 36 6 Magic numbers - hardcoded values in the code that are not properly explained or documented 7 Possible duplicate code 8 Overcomplicated code - the use of reflection to set caller context could be simplified 9 Lack of exception handling or error checking	t	f	t			0	12219	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/PigServer.java/#L223-L296	2	1859	12219
795	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private SimpleDateFormat createFormat(DateResolution dateResolution) { switch (dateResolution) { case Year: return new SimpleDateFormat("yyyy"); case Month: return new SimpleDateFormat("yyyyMM"); case Day: return new SimpleDateFormat("yyyyMMdd"); case Hour: return new SimpleDateFormat("yyyyMMddhh"); case Minute: return new SimpleDateFormat("yyyyMMddhhmm"); case Second: return new SimpleDateFormat("yyyyMMddhhmmss"); default: return new SimpleDateFormat("yyyyMMddhhmmssSSS"); } }	long method	long method	t	t	t			0	7555	https://github.com/apache/james-project/blob/fa24a096a5853459c3769a34ccc68feb91626bfa/mailbox/store/src/main/java/org/apache/james/mailbox/store/search/MessageSearches.java/#L624-L641	1	795	7555
1538	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean matchesAllInstances(SequenceType testST) { Quantifier stq = sequenceType.getQuantifier(); ItemType it = sequenceType.getItemType(); if (stq.isSubQuantifier(testST.getQuantifier())) { if (it instanceof AnyItemType) { return true; } else if (it.isAtomicType() && testST.getItemType().isAtomicType()) { AtomicType ait = (AtomicType) it; AtomicType testIT = (AtomicType) testST.getItemType(); if (BuiltinTypeRegistry.INSTANCE.isBuiltinTypeId(testIT.getTypeId())) { SchemaType vType = BuiltinTypeRegistry.INSTANCE.getSchemaTypeById(testIT.getTypeId()); while (vType != null && vType.getTypeId() != ait.getTypeId()) { vType = vType.getBaseType(); } return vType != null; } } else if (it instanceof NodeType && testST.getItemType() instanceof NodeType) { NodeType nt = (NodeType) it; NodeKind kind = nt.getNodeKind(); NodeType testNT = (NodeType) testST.getItemType(); NodeKind testKind = testNT.getNodeKind(); if (kind == NodeKind.ANY || kind == testKind) { return true; } } return false; } return false; }	long method	Long Method, Data Class	t	f	t	Data Class		0	11226	https://github.com/apache/vxquery/blob/5d1175d2cb04a54ba751295f2ac67daec38bf723/vxquery-core/src/main/java/org/apache/vxquery/runtime/functions/type/SequenceTypeMatcher.java/#L156-L184	1	1538	11226
5490	YES I found bad smells. the bad smells are: 1. Long method, 2. Data class.	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	Long method, 2 Data class	t	f	t	2. Data class.		0	1877	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	1	5490	1877
544	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String getOatFileInstructionSet(File oatFile) throws Throwable { ShareElfFile elfFile = null; String result = ""; try { elfFile = new ShareElfFile(oatFile); final ShareElfFile.SectionHeader roDataHdr = elfFile.getSectionHeaderByName(".rodata"); if (roDataHdr == null) { throw new IOException("Unable to find .rodata section."); } final FileChannel channel = elfFile.getChannel(); channel.position(roDataHdr.shOffset); final byte[] oatMagicAndVersion = new byte[8]; ShareElfFile.readUntilLimit(channel, ByteBuffer.wrap(oatMagicAndVersion), "Failed to read oat magic and version."); if (oatMagicAndVersion[0] != 'o' || oatMagicAndVersion[1] != 'a' || oatMagicAndVersion[2] != 't' || oatMagicAndVersion[3] != '\n') { throw new IOException( String.format("Bad oat magic: %x %x %x %x", oatMagicAndVersion[0], oatMagicAndVersion[1], oatMagicAndVersion[2], oatMagicAndVersion[3]) ); } final int versionOffsetFromOatBegin = 4; final int versionBytes = 3; final String oatVersion = new String(oatMagicAndVersion, versionOffsetFromOatBegin, versionBytes, Charset.forName("ASCII")); try { Integer.parseInt(oatVersion); } catch (NumberFormatException e) { throw new IOException("Bad oat version: " + oatVersion); } ByteBuffer buffer = ByteBuffer.allocate(128); buffer.order(elfFile.getDataOrder()); // TODO This is a risk point, since each oat version may use a different offset. // So far it's ok. Perhaps we should use oatVersionNum to judge the right offset in // the future. final int isaNumOffsetFromOatBegin = 12; channel.position(roDataHdr.shOffset + isaNumOffsetFromOatBegin); buffer.limit(4); ShareElfFile.readUntilLimit(channel, buffer, "Failed to read isa num."); int isaNum = buffer.getInt(); if (isaNum < 0 || isaNum >= InstructionSet.values().length) { throw new IOException("Bad isa num: " + isaNum); } switch (InstructionSet.values()[isaNum]) { case kArm: case kThumb2: result = "arm"; break; case kArm64: result = "arm64"; break; case kX86: result = "x86"; break; case kX86_64: result = "x86_64"; break; case kMips: result = "mips"; break; case kMips64: result = "mips64"; break; case kNone: result = "none"; break; default: throw new IOException("Should not reach here."); } } finally { if (elfFile != null) { try { elfFile.close(); } catch (Exception ignored) { // Ignored. } } } return result; }	long method	Long method2 Feature envy	t	f	t			0	5546	https://github.com/Tencent/tinker/blob/7523900600317ebd618f3505434176b381bd0bc2/tinker-android/tinker-android-loader/src/main/java/com/tencent/tinker/loader/shareutil/ShareOatUtil.java/#L48-L139	2	544	5546
2450	{ "answer": "YES I found bad smells", "the bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: InitializeParams get(String id) throws LanguageServerException { InitializeParams initializeParams = new InitializeParams(); LOG.debug("Initialize params constructing: started"); Boolean locality = localityRegistry.get(id); LOG.debug("Locality: {}", locality); Integer processId = locality ? ProcessIdProvider.get() : null; initializeParams.setProcessId(processId); LOG.debug("Process id: {}", processId); String projectsRoot = projectsRootRegistry.getOrNull(id); String rootPath; if (projectsRoot != null) { rootPath = projectsRoot; } else { rootPath = Paths.get(rootUri).toAbsolutePath().toString(); } initializeParams.setRootPath(rootPath); LOG.debug("Root path: {}", rootPath); String rootUri; if (projectsRoot != null) { rootUri = Paths.get(projectsRoot).toUri().toString(); } else { rootUri = this.rootUri.toString(); } initializeParams.setRootUri(rootUri); LOG.debug("Root URI: {}", rootUri); ClientCapabilities capabilities = ClientCapabilitiesProvider.get(); initializeParams.setCapabilities(capabilities); LOG.debug("Client capabilities: {}", capabilities); String clientName = ClientCapabilitiesProvider.CLIENT_NAME; initializeParams.setClientName(clientName); LOG.debug("Client name: {}", clientName); LOG.debug("Initialize params constructing: finished"); return initializeParams; }	long method	long method, data class	t	t	t	data class		0	14505	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/wsagent/che-core-api-languageserver/src/main/java/org/eclipse/che/api/languageserver/InitializeParamsProvider.java/#L73-L114	1	2450	14505
1145	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean makeAcquisitionUnstealable(final MessageInstanceConsumer consumer) { EntryState state = _state; if(state instanceof StealableConsumerAcquiredState && ((StealableConsumerAcquiredState) state).getConsumer() == consumer) { UnstealableConsumerAcquiredState unstealableState = ((StealableConsumerAcquiredState) state).getUnstealableState(); boolean updated = _stateUpdater.compareAndSet(this, state, unstealableState); if(updated) { notifyStateChange(state, unstealableState); } return updated; } return state instanceof UnstealableConsumerAcquiredState && ((UnstealableConsumerAcquiredState) state).getConsumer() == consumer; }	long method	Long method2 Feature envy	t	f	t			0	10111	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/queue/QueueEntryImpl.java/#L336-L353	2	1145	10111
1041	{ "response": "YES I found bad smells", "bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static public Object postUpdate(String itemName, String stateString) { ItemRegistry registry = ScriptServiceUtil.getItemRegistry(); EventPublisher publisher = ScriptServiceUtil.getEventPublisher(); if (publisher != null && registry != null) { try { Item item = registry.getItem(itemName); State state = TypeParser.parseState(item.getAcceptedDataTypes(), stateString); if (state != null) { publisher.post(ItemEventFactory.createStateEvent(itemName, state)); } else { LoggerFactory.getLogger(BusEvent.class).warn( "Cannot convert '{}' to a state type which item '{}' accepts: {}.", stateString, itemName, getAcceptedDataTypeNames(item)); } } catch (ItemNotFoundException e) { LoggerFactory.getLogger(BusEvent.class).warn("Item '{}' does not exist.", itemName); } } return null; }	long method	long method	t	t	t			0	9429	https://github.com/eclipse/smarthome/blob/b8455de15d65512e8fac4e94d42de6ab2fccf1c5/bundles/model/org.eclipse.smarthome.model.script/src/org/eclipse/smarthome/model/script/actions/BusEvent.java/#L153-L172	1	1041	9429
506	{ "message": "YES I found bad smells. The bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void setModalFieldsTooltips() { // set Tooltips this.tooltipInput.setTitle(MSGS.firewallPortForwardFormInboundInterfaceToolTip()); this.tooltipOutput.setTitle(MSGS.firewallPortForwardFormOutboundInterfaceToolTip()); this.tooltipLan.setTitle(MSGS.firewallPortForwardFormLanAddressToolTip()); this.tooltipProtocol.setTitle(MSGS.firewallPortForwardFormProtocolToolTip()); this.tooltipInternal.setTitle(MSGS.firewallPortForwardFormInternalPortToolTip()); this.tooltipExternal.setTitle(MSGS.firewallPortForwardFormExternalPortToolTip()); this.tooltipEnable.setTitle(MSGS.firewallPortForwardFormMasqueradingToolTip()); this.tooltipPermittedNw.setTitle(MSGS.firewallPortForwardFormPermittedNetworkToolTip()); this.tooltipPermittedMac.setTitle(MSGS.firewallPortForwardFormPermittedMacAddressToolTip()); this.tooltipSource.setTitle(MSGS.firewallPortForwardFormSourcePortRangeToolTip()); this.tooltipInput.reconfigure(); this.tooltipOutput.reconfigure(); this.tooltipLan.reconfigure(); this.tooltipProtocol.reconfigure(); this.tooltipExternal.reconfigure(); this.tooltipInternal.reconfigure(); this.tooltipEnable.reconfigure(); this.tooltipPermittedNw.reconfigure(); this.tooltipPermittedMac.reconfigure(); this.tooltipSource.reconfigure(); }	long method	1. long method	t	t	f		long method	0	5141	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.web2/src/main/java/org/eclipse/kura/web/client/ui/firewall/PortForwardingTabUi.java/#L796-L818	1	506	5141
295	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void log(Operation op, OperationProcessingContext context, String msg, Level logLevel) { String hostId = context.host != null ? context.host.getId() : ""; String path = op.getUri() != null ? op.getUri().getPath() : ""; Filter filter = this.filters.get(context.currentFilterPosition); String filterName = filter != null ? filter.getClass().getSimpleName() : ""; String logMsg = String.format("(host: %s, op %d %s %s) filter %s: %s", hostId, op.getId(), op.getAction(), path, filterName, msg); Level level = logLevel != null ? logLevel : Level.INFO; Utils.log(getClass(), op.getUri().getPath(), level, logMsg); }	long method	Long method2 Feature envy	t	f	t			0	3109	https://github.com/vmware/xenon/blob/b6fb48b745985af2efc59b7ee0e5e7d69a289fbc/xenon-common/src/main/java/com/vmware/xenon/common/OperationProcessingChain.java/#L345-L354	2	295	3109
2673	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	long method	t	t	t			0	15225	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	1	2673	15225
2089	{ "response": "YES, I found bad smells", "the bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void resizeInstructions() { byte[] b = code.data; // bytecode of the method int u, v, label; // indexes in b int i, j; // loop indexes /* * 1st step: As explained above, resizing an instruction may require to * resize another one, which may require to resize yet another one, and * so on. The first step of the algorithm consists in finding all the * instructions that need to be resized, without modifying the code. * This is done by the following "fix point" algorithm: * * Parse the code to find the jump instructions whose offset will need * more than 2 bytes to be stored (the future offset is computed from * the current offset and from the number of bytes that will be inserted * or removed between the source and target instructions). For each such * instruction, adds an entry in (a copy of) the indexes and sizes * arrays (if this has not already been done in a previous iteration!). * * If at least one entry has been added during the previous step, go * back to the beginning, otherwise stop. * * In fact the real algorithm is complicated by the fact that the size * of TABLESWITCH and LOOKUPSWITCH instructions depends on their * position in the bytecode (because of padding). In order to ensure the * convergence of the algorithm, the number of bytes to be added or * removed from these instructions is over estimated during the previous * loop, and computed exactly only after the loop is finished (this * requires another pass to parse the bytecode of the method). */ int[] allIndexes = new int[0]; // copy of indexes int[] allSizes = new int[0]; // copy of sizes boolean[] resize; // instructions to be resized int newOffset; // future offset of a jump instruction resize = new boolean[code.length]; // 3 = loop again, 2 = loop ended, 1 = last pass, 0 = done int state = 3; do { if (state == 3) { state = 2; } u = 0; while (u < b.length) { int opcode = b[u] & 0xFF; // opcode of current instruction int insert = 0; // bytes to be added after this instruction switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // converts temporary opcodes 202 to 217, 218 and // 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (newOffset < Short.MIN_VALUE || newOffset > Short.MAX_VALUE) { if (!resize[u]) { if (opcode == Opcodes.GOTO || opcode == Opcodes.JSR) { // two additional bytes will be required to // replace this GOTO or JSR instruction with // a GOTO_W or a JSR_W insert = 2; } else { // five additional bytes will be required to // replace this IFxxx instruction with // IFNOTxxx GOTO_W , where IFNOTxxx // is the "opposite" opcode of IFxxx (i.e., // IFNE for IFEQ) and where designates // the instruction just after the GOTO_W. insert = 5; } resize[u] = true; } } u += 3; break; case ClassWriter.LABELW_INSN: u += 5; break; case ClassWriter.TABL_INSN: if (state == 1) { // true number of bytes to be added (or removed) // from this instruction = (future number of padding // bytes - current number of padding byte) - // previously over estimated variation = // = ((3 - newOffset%4) - (3 - u%4)) - u%4 // = (-newOffset%4 + u%4) - u%4 // = -(newOffset & 3) newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // over estimation of the number of bytes to be // added to this instruction = 3 - current number // of padding bytes = 3 - (3 - u%4) = u%4 = u & 3 insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 4 * (readInt(b, u + 8) - readInt(b, u + 4) + 1) + 12; break; case ClassWriter.LOOK_INSN: if (state == 1) { // like TABL_INSN newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // like TABL_INSN insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 8 * readInt(b, u + 4) + 8; break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { u += 6; } else { u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: u += 5; break; // case ClassWriter.MANA_INSN: default: u += 4; break; } if (insert != 0) { // adds a new (u, insert) entry in the allIndexes and // allSizes arrays int[] newIndexes = new int[allIndexes.length + 1]; int[] newSizes = new int[allSizes.length + 1]; System.arraycopy(allIndexes, 0, newIndexes, 0, allIndexes.length); System.arraycopy(allSizes, 0, newSizes, 0, allSizes.length); newIndexes[allIndexes.length] = u; newSizes[allSizes.length] = insert; allIndexes = newIndexes; allSizes = newSizes; if (insert > 0) { state = 3; } } } if (state < 3) { --state; } } while (state != 0); // 2nd step: // copies the bytecode of the method into a new bytevector, updates the // offsets, and inserts (or removes) bytes as requested. ByteVector newCode = new ByteVector(code.length); u = 0; while (u < code.length) { int opcode = b[u] & 0xFF; switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: newCode.putByte(opcode); u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // changes temporary opcodes 202 to 217 (inclusive), 218 // and 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (resize[u]) { // replaces GOTO with GOTO_W, JSR with JSR_W and IFxxx // with IFNOTxxx GOTO_W , where IFNOTxxx is // the "opposite" opcode of IFxxx (i.e., IFNE for IFEQ) // and where designates the instruction just after // the GOTO_W. if (opcode == Opcodes.GOTO) { newCode.putByte(200); // GOTO_W } else if (opcode == Opcodes.JSR) { newCode.putByte(201); // JSR_W } else { newCode.putByte(opcode <= 166 ? ((opcode + 1) ^ 1) - 1 : opcode ^ 1); newCode.putShort(8); // jump offset newCode.putByte(200); // GOTO_W // newOffset now computed from start of GOTO_W newOffset -= 3; } newCode.putInt(newOffset); } else { newCode.putByte(opcode); newCode.putShort(newOffset); } u += 3; break; case ClassWriter.LABELW_INSN: label = u + readInt(b, u + 1); newOffset = getNewOffset(allIndexes, allSizes, u, label); newCode.putByte(opcode); newCode.putInt(newOffset); u += 5; break; case ClassWriter.TABL_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.TABLESWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); j = readInt(b, u) - j + 1; u += 4; newCode.putInt(readInt(b, u - 4)); for (; j > 0; --j) { label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.LOOK_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.LOOKUPSWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); for (; j > 0; --j) { newCode.putInt(readInt(b, u)); u += 4; label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { newCode.putByteArray(b, u, 6); u += 6; } else { newCode.putByteArray(b, u, 4); u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: newCode.putByteArray(b, u, 2); u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: newCode.putByteArray(b, u, 3); u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: newCode.putByteArray(b, u, 5); u += 5; break; // case MANA_INSN: default: newCode.putByteArray(b, u, 4); u += 4; break; } } // recomputes the stack map frames if (frameCount > 0) { if (compute == FRAMES) { frameCount = 0; stackMap = null; previousFrame = null; frame = null; Frame f = new Frame(); f.owner = labels; Type[] args = Type.getArgumentTypes(descriptor); f.initInputFrame(cw, access, args, maxLocals); visitFrame(f); Label l = labels; while (l != null) { /* * here we need the original label position. getNewOffset * must therefore never have been called for this label. */ u = l.position - 3; if ((l.status & Label.STORE) != 0 || (u >= 0 && resize[u])) { getNewOffset(allIndexes, allSizes, l); // TODO update offsets in UNINITIALIZED values visitFrame(l.frame); } l = l.successor; } } else { /* * Resizing an existing stack map frame table is really hard. * Not only the table must be parsed to update the offets, but * new frames may be needed for jump instructions that were * inserted by this method. And updating the offsets or * inserting frames can change the format of the following * frames, in case of packed frames. In practice the whole table * must be recomputed. For this the frames are marked as * potentially invalid. This will cause the whole class to be * reread and rewritten with the COMPUTE_FRAMES option (see the * ClassWriter.toByteArray method). This is not very efficient * but is much easier and requires much less code than any other * method I can think of. */ cw.invalidFrames = true; } } // updates the exception handler block labels Handler h = firstHandler; while (h != null) { getNewOffset(allIndexes, allSizes, h.start); getNewOffset(allIndexes, allSizes, h.end); getNewOffset(allIndexes, allSizes, h.handler); h = h.next; } // updates the instructions addresses in the // local var and line number tables for (i = 0; i < 2; ++i) { ByteVector bv = i == 0 ? localVar : localVarType; if (bv != null) { b = bv.data; u = 0; while (u < bv.length) { label = readUnsignedShort(b, u); newOffset = getNewOffset(allIndexes, allSizes, 0, label); writeShort(b, u, newOffset); label += readUnsignedShort(b, u + 2); newOffset = getNewOffset(allIndexes, allSizes, 0, label) - newOffset; writeShort(b, u + 2, newOffset); u += 10; } } } if (lineNumber != null) { b = lineNumber.data; u = 0; while (u < lineNumber.length) { writeShort( b, u, getNewOffset(allIndexes, allSizes, 0, readUnsignedShort(b, u))); u += 4; } } // updates the labels of the other attributes Attribute attr = cattrs; while (attr != null) { Label[] labels = attr.getLabels(); if (labels != null) { for (i = labels.length - 1; i >= 0; --i) { getNewOffset(allIndexes, allSizes, labels[i]); } } attr = attr.next; } // replaces old bytecodes with new ones code = newCode; }	long method	long method, feature envy	t	t	t	feature envy		0	13117	https://github.com/apache/tajo/blob/fb326195083959014c82c10187cb46de91ece33f/tajo-thirdparty/asm/src/main/java/org/apache/tajo/org/objectweb/asm/MethodWriter.java/#L2145-L2559	2	2089	13117
743	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void writeTransactionResponse(ResponseCode response, String explanation) throws IOException { HttpCommunicationsSession commSession = (HttpCommunicationsSession) peer.getCommunicationsSession(); if(TransferDirection.RECEIVE.equals(direction)){ switch (response) { case CONFIRM_TRANSACTION: logger.debug("{} Confirming transaction. checksum={}", this, explanation); commSession.setChecksum(explanation); break; case TRANSACTION_FINISHED: logger.debug("{} Finishing transaction.", this); break; case CANCEL_TRANSACTION: logger.debug("{} Canceling transaction. explanation={}", this, explanation); TransactionResultEntity resultEntity = apiClient.commitReceivingFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION, null); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } break; } } else { switch (response) { case FINISH_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Finished sending flow files.", this); break; case BAD_CHECKSUM: { TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.BAD_CHECKSUM); ResponseCode badChecksumCancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (badChecksumCancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} BAD_CHECKSUM, The transaction is canceled on server properly.", this); break; default: logger.warn("{} BAD_CHECKSUM, Expected the transaction is canceled on server, but received {}.", this, badChecksumCancelResponse); break; } } break; case CONFIRM_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Transaction is confirmed.", this); break; case CANCEL_TRANSACTION: { logger.debug("{} Canceling transaction.", this); TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } } break; } } }	long method	Long method2 Feature envy	t	f	t			0	6978	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-commons/nifi-site-to-site-client/src/main/java/org/apache/nifi/remote/protocol/http/HttpClientTransaction.java/#L110-L176	2	743	6978
1991	{"response": "YES I found bad smells", "detected bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void start(Stage stage) { try { // create splitPane pane and JavaFX app scene SplitPane splitPane = new SplitPane(); splitPane.setOrientation(Orientation.VERTICAL); Scene fxScene = new Scene(splitPane); // set title, size, and add JavaFX scene to stage stage.setTitle("Feature Layer Rendering Mode Map Sample"); stage.setWidth(800); stage.setHeight(700); stage.setScene(fxScene); stage.show(); // create a map (top) and set it to render all features in static rendering mode ArcGISMap mapTop = new ArcGISMap(); mapTop.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); // create a map (bottom) and set it to render all features in dynamic rendering mode ArcGISMap mapBottom = new ArcGISMap(); mapBottom.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); // creating top map view mapViewTop = new MapView(); mapViewTop.setMap(mapTop); splitPane.getItems().add(mapViewTop); // creating bottom map view mapViewBottom = new MapView(); mapViewBottom.setMap(mapBottom); splitPane.getItems().add(mapViewBottom); // create service feature table using a point, polyline, and polygon service ServiceFeatureTable pointServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/0"); ServiceFeatureTable polylineServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/8"); ServiceFeatureTable polygonServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/9"); // create feature layer from service feature tables FeatureLayer pointFeatureLayer = new FeatureLayer(pointServiceFeatureTable); FeatureLayer polylineFeatureLayer = new FeatureLayer(polylineServiceFeatureTable); FeatureLayer polygonFeatureLayer = new FeatureLayer(polygonServiceFeatureTable); // add each layer to top and bottom map mapTop.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer, polylineFeatureLayer, polygonFeatureLayer)); mapBottom.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer.copy(), polylineFeatureLayer.copy(), polygonFeatureLayer.copy())); // viewpoint locations for map view to zoom in and out to Viewpoint zoomOutPoint = new Viewpoint(new Point(-118.37, 34.46, SpatialReferences.getWgs84()), 650000, 0); Viewpoint zoomInPoint = new Viewpoint(new Point(-118.45, 34.395, SpatialReferences.getWgs84()), 50000, 90); mapViewTop.setViewpoint(zoomOutPoint); mapViewBottom.setViewpoint(zoomOutPoint); //loop an animation into and out from the zoom in point (5 seconds each) with a 2 second gap between zooming timeline = new Timeline(); timeline.setCycleCount(Animation.INDEFINITE); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(7), event -> zoomTo(zoomInPoint))); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(14), event -> zoomTo(zoomOutPoint))); timeline.play(); } catch (Exception e) { // on any error, display the stack trace. e.printStackTrace(); } }	long method	long method, data class	t	t	t	data class		0	12682	https://github.com/Esri/arcgis-runtime-samples-java/blob/c7a0b309586495ff9cc9dbed129e411943547793/src/main/java/com/esri/samples/featurelayers/feature_layer_rendering_mode_map/FeatureLayerRenderingModeMapSample.java/#L45-L114	1	1991	12682
1006	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void configure(TestElement el) { setName(el.getName()); Arguments arguments = (Arguments) el.getProperty(HTTPSamplerBase.ARGUMENTS).getObjectValue(); boolean useRaw = el.getPropertyAsBoolean(HTTPSamplerBase.POST_BODY_RAW, HTTPSamplerBase.POST_BODY_RAW_DEFAULT); if(useRaw) { String postBody = computePostBody(arguments, true); // Convert CRLF to CR, see modifyTestElement postBodyContent.setInitialText(postBody); postBodyContent.setCaretPosition(0); argsPanel.clear(); postContentTabbedPane.setSelectedIndex(tabRawBodyIndex, false); } else { postBodyContent.setInitialText(""); argsPanel.configure(arguments); postContentTabbedPane.setSelectedIndex(TAB_PARAMETERS, false); } if(showFileUploadPane) { filesPanel.configure(el); } domain.setText(el.getPropertyAsString(HTTPSamplerBase.DOMAIN)); String portString = el.getPropertyAsString(HTTPSamplerBase.PORT); // Only display the port number if it is meaningfully specified if (portString.equals(HTTPSamplerBase.UNSPECIFIED_PORT_AS_STRING)) { port.setText(""); // $NON-NLS-1$ } else { port.setText(portString); } protocol.setText(el.getPropertyAsString(HTTPSamplerBase.PROTOCOL)); contentEncoding.setText(el.getPropertyAsString(HTTPSamplerBase.CONTENT_ENCODING)); path.setText(el.getPropertyAsString(HTTPSamplerBase.PATH)); if (notConfigOnly){ method.setText(el.getPropertyAsString(HTTPSamplerBase.METHOD)); followRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.FOLLOW_REDIRECTS)); autoRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.AUTO_REDIRECTS)); useKeepAlive.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.USE_KEEPALIVE)); useMultipart.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.DO_MULTIPART_POST)); useBrowserCompatibleMultipartMode.setSelected(el.getPropertyAsBoolean( HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART, HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART_MODE_DEFAULT)); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	9258	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/protocol/http/org/apache/jmeter/protocol/http/config/gui/UrlConfigGui.java/#L272-L314	2	1006	9258
353	{"message": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static Class findProviderClass(String className, ClassLoader cl, boolean doFallback) throws ClassNotFoundException, ConfigurationError { //throw security exception if the calling thread is not allowed to access the //class. Restrict the access to the package classes as specified in java.security policy. SecurityManager security = System.getSecurityManager(); try{ if (security != null){ final int lastDot = className.lastIndexOf('.'); String packageName = className; if (lastDot != -1) packageName = className.substring(0, lastDot); security.checkPackageAccess(packageName); } }catch(SecurityException e){ throw e; } Class providerClass; if (cl == null) { // XXX Use the bootstrap ClassLoader. There is no way to // load a class using the bootstrap ClassLoader that works // in both JDK 1.1 and Java 2. However, this should still // work b/c the following should be true: // // (cl == null) iff current ClassLoader == null // // Thus Class.forName(String) will use the current // ClassLoader which will be the bootstrap ClassLoader. providerClass = Class.forName(className); } else { try { providerClass = cl.loadClass(className); } catch (ClassNotFoundException x) { if (doFallback) { // Fall back to current classloader ClassLoader current = ObjectFactory.class.getClassLoader(); if (current == null) { providerClass = Class.forName(className); } else if (cl != current) { cl = current; providerClass = cl.loadClass(className); } else { throw x; } } else { throw x; } } } return providerClass; }	long method	long method	t	t	t			0	3634	https://github.com/apache/servicemix-bundles/blob/5f2c7727f71c167997947ad4604f9b8200952af2/xalan-2.7.2/src/main/java/org/apache/xalan/xsltc/runtime/ObjectFactory.java/#L477-L529	1	353	3634
1790	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void paintComponent(Graphics g) { XPStyle xp = XPStyle.getXP(); paintTitleBackground(g); String title = frame.getTitle(); if (title != null) { boolean isSelected = frame.isSelected(); Font oldFont = g.getFont(); Font newFont = (titleFont != null) ? titleFont : getFont(); g.setFont(newFont); // Center text vertically. FontMetrics fm = SwingUtilities2.getFontMetrics(frame, g, newFont); int baseline = (getHeight() + fm.getAscent() - fm.getLeading() - fm.getDescent()) / 2; Rectangle lastIconBounds = new Rectangle(0, 0, 0, 0); if (frame.isIconifiable()) { lastIconBounds = iconButton.getBounds(); } else if (frame.isMaximizable()) { lastIconBounds = maxButton.getBounds(); } else if (frame.isClosable()) { lastIconBounds = closeButton.getBounds(); } int titleX; int titleW; int gap = 2; if (WindowsGraphicsUtils.isLeftToRight(frame)) { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getWidth() - frame.getInsets().right; } titleX = systemLabel.getX() + systemLabel.getWidth() + gap; if (xp != null) { titleX += 2; } titleW = lastIconBounds.x - titleX - gap; } else { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getInsets().left; } titleW = SwingUtilities2.stringWidth(frame, fm, title); int minTitleX = lastIconBounds.x + lastIconBounds.width + gap; if (xp != null) { minTitleX += 2; } int availableWidth = systemLabel.getX() - gap - minTitleX; if (availableWidth > titleW) { titleX = systemLabel.getX() - gap - titleW; } else { titleX = minTitleX; titleW = availableWidth; } } title = getTitle(frame.getTitle(), fm, titleW); if (xp != null) { String shadowType = null; if (isSelected) { shadowType = xp.getString(this, Part.WP_CAPTION, State.ACTIVE, Prop.TEXTSHADOWTYPE); } if ("single".equalsIgnoreCase(shadowType)) { Point shadowOffset = xp.getPoint(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWOFFSET); Color shadowColor = xp.getColor(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWCOLOR, null); if (shadowOffset != null && shadowColor != null) { g.setColor(shadowColor); SwingUtilities2.drawString(frame, g, title, titleX + shadowOffset.x, baseline + shadowOffset.y); } } } g.setColor(isSelected ? selectedTextColor : notSelectedTextColor); SwingUtilities2.drawString(frame, g, title, titleX, baseline); g.setFont(oldFont); } }	long method	'Long Method', 'Feature Envy'	t	t	t	{',L,o,n,g," ",M,e,t,h,o,d,',","," ",',F,e,a,t,u,r,e," ",E,n,v,y,'}	{',L,o,n,g," ",M,h,o,d,',","," ",',F,a," ",n,v,y,'}	0	11987	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/windows/classes/com/sun/java/swing/plaf/windows/WindowsInternalFrameTitlePane.java/#L125-L205	1	1790	11987
3786	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Excessive conditional complexity 4. Code duplication 5. Poorly named variables ("this_present_protocol_version" and "that_present_protocol_version")	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean equals(TListSentryPrivilegesRequest that) { if (that == null) return false; boolean this_present_protocol_version = true; boolean that_present_protocol_version = true; if (this_present_protocol_version || that_present_protocol_version) { if (!(this_present_protocol_version && that_present_protocol_version)) return false; if (this.protocol_version != that.protocol_version) return false; } boolean this_present_requestorUserName = true && this.isSetRequestorUserName(); boolean that_present_requestorUserName = true && that.isSetRequestorUserName(); if (this_present_requestorUserName || that_present_requestorUserName) { if (!(this_present_requestorUserName && that_present_requestorUserName)) return false; if (!this.requestorUserName.equals(that.requestorUserName)) return false; } boolean this_present_roleName = true && this.isSetRoleName(); boolean that_present_roleName = true && that.isSetRoleName(); if (this_present_roleName || that_present_roleName) { if (!(this_present_roleName && that_present_roleName)) return false; if (!this.roleName.equals(that.roleName)) return false; } boolean this_present_authorizableHierarchy = true && this.isSetAuthorizableHierarchy(); boolean that_present_authorizableHierarchy = true && that.isSetAuthorizableHierarchy(); if (this_present_authorizableHierarchy || that_present_authorizableHierarchy) { if (!(this_present_authorizableHierarchy && that_present_authorizableHierarchy)) return false; if (!this.authorizableHierarchy.equals(that.authorizableHierarchy)) return false; } return true; }	long method	Long method2 Feature envy3 Excessive conditional complexity4 Code duplication5 Poorly named variables ("this_present_protocol_version" and "that_present_protocol_version")	t	f	t			0	9536	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-provider/sentry-provider-db/src/gen/thrift/gen-javabean/org/apache/sentry/provider/db/service/thrift/TListSentryPrivilegesRequest.java/#L360-L401	2	3786	9536
5756	YES I found bad smells the bad smells are: 1.Long Method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List fromProps(Map m) { List props = new ArrayList(); for (Map.Entry entry : m.entrySet()) { String key = entry.getKey(); Object val = entry.getValue(); PropertyType propEl = new PropertyType(); propEl.setName(key); ObjectFactory factory = new ObjectFactory(); if (val.getClass().isArray()) { ArrayType arrayEl = new ArrayType(); propEl.getContent().add(factory.createArray(arrayEl)); for (Object o : normalizeArray(val)) { setValueType(propEl, o); ValueType valueType = new ValueType(); valueType.getContent().add(o.toString()); arrayEl.getValue().add(valueType); } } else if (val instanceof List) { ArrayType listEl = new ArrayType(); propEl.getContent().add(factory.createList(listEl)); handleCollectionValue((Collection) val, propEl, listEl); } else if (val instanceof Set) { ArrayType setEl = new ArrayType(); propEl.getContent().add(factory.createSet(setEl)); handleCollectionValue((Collection) val, propEl, setEl); } else if (val instanceof String || val instanceof Character || val instanceof Boolean || val instanceof Byte) { setValueType(propEl, val); propEl.setValue(val.toString()); } else if (val instanceof Long || val instanceof Double || val instanceof Float || val instanceof Integer || val instanceof Short) { // various numbers.. maybe "val instanceof Number"? setValueType(propEl, val); propEl.setValue(val.toString()); } else { // Don't add this property as the value type is not supported continue; } props.add(propEl); } return props; }	long method	Long Method	t	f	t			0	14501	https://github.com/apache/aries-rsa/blob/f5aa5ca62c3948d7e471c3a839089180650cf4f2/discovery/local/src/main/java/org/apache/aries/rsa/discovery/endpoint/PropertiesMapper.java/#L233-L280	1	5756	14501
2343	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Data Class", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void writeTransactionResponse(ResponseCode response, String explanation) throws IOException { HttpCommunicationsSession commSession = (HttpCommunicationsSession) peer.getCommunicationsSession(); if(TransferDirection.RECEIVE.equals(direction)){ switch (response) { case CONFIRM_TRANSACTION: logger.debug("{} Confirming transaction. checksum={}", this, explanation); commSession.setChecksum(explanation); break; case TRANSACTION_FINISHED: logger.debug("{} Finishing transaction.", this); break; case CANCEL_TRANSACTION: logger.debug("{} Canceling transaction. explanation={}", this, explanation); TransactionResultEntity resultEntity = apiClient.commitReceivingFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION, null); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } break; } } else { switch (response) { case FINISH_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Finished sending flow files.", this); break; case BAD_CHECKSUM: { TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.BAD_CHECKSUM); ResponseCode badChecksumCancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (badChecksumCancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} BAD_CHECKSUM, The transaction is canceled on server properly.", this); break; default: logger.warn("{} BAD_CHECKSUM, Expected the transaction is canceled on server, but received {}.", this, badChecksumCancelResponse); break; } } break; case CONFIRM_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Transaction is confirmed.", this); break; case CANCEL_TRANSACTION: { logger.debug("{} Canceling transaction.", this); TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } } break; } } }	long method	data class, long method	t	t	t	data class		0	14182	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-commons/nifi-site-to-site-client/src/main/java/org/apache/nifi/remote/protocol/http/HttpClientTransaction.java/#L110-L176	1	2343	14182
2001	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void initializeOp(Configuration hconf) throws HiveException { // If there is a sort-merge join followed by a regular join, the SMBJoinOperator may not // get initialized at all. Consider the following query: // A SMB B JOIN C // For the mapper processing C, The SMJ is not initialized, no need to close it either. initDone = true; super.initializeOp(hconf); closeCalled = false; this.firstFetchHappened = false; this.inputFileChanged = false; // get the largest table alias from order int maxAlias = 0; for (byte pos = 0; pos < order.length; pos++) { if (pos > maxAlias) { maxAlias = pos; } } maxAlias += 1; nextGroupStorage = new RowContainer[maxAlias]; candidateStorage = new RowContainer[maxAlias]; keyWritables = new ArrayList[maxAlias]; nextKeyWritables = new ArrayList[maxAlias]; fetchDone = new boolean[maxAlias]; foundNextKeyGroup = new boolean[maxAlias]; int bucketSize; // For backwards compatibility reasons we honor the older // HIVEMAPJOINBUCKETCACHESIZE if set different from default. // By hive 0.13 we should remove this code. int oldVar = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEMAPJOINBUCKETCACHESIZE); if (oldVar != 100) { bucketSize = oldVar; } else { bucketSize = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVESMBJOINCACHEROWS); } for (byte pos = 0; pos < order.length; pos++) { RowContainer> rc = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); nextGroupStorage[pos] = rc; RowContainer> candidateRC = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); candidateStorage[pos] = candidateRC; } tagToAlias = conf.convertToArray(conf.getTagToAlias(), String.class); for (byte pos = 0; pos < order.length; pos++) { if (pos != posBigTable) { fetchDone[pos] = false; } foundNextKeyGroup[pos] = false; } }	long method	long method	t	t	t			0	12710	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/SMBMapJoinOperator.java/#L102-L166	1	2001	12710
1651	{ "message": "YES I found bad smells", "bad_smells": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean readFont(FontFileReader in, String header, String name) throws IOException { initializeFont(in); /* * Check if TrueType collection, and that the name * exists in the collection */ if (!checkTTC(header, name)) { if (name == null) { throw new IllegalArgumentException( "For TrueType collection you must specify which font " + "to select (-ttcname)"); } else { throw new IOException( "Name does not exist in the TrueType collection: " + name); } } readDirTabs(); readFontHeader(); getNumGlyphs(); if (log.isDebugEnabled()) { log.debug("Number of glyphs in font: " + numberOfGlyphs); } readHorizontalHeader(); readHorizontalMetrics(); initAnsiWidths(); readPostScript(); readOS2(); determineAscDesc(); readName(); boolean pcltFound = readPCLT(); // Read cmap table and fill in ansiwidths boolean valid = readCMAP(); if (!valid) { return false; } // Create cmaps for bfentries createCMaps(); updateBBoxAndOffset(); if (useKerning) { readKerning(); } handleCharacterSpacing(in); guessVerticalMetricsFromGlyphBBox(); return true; }	long method	1 Long Method, 2 Data Class	t	f	t	2. Data Class		0	11579	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fonts/truetype/OpenFont.java/#L813-L862	1	1651	11579
369	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ShardHandler getAndPrepShardHandler(SolrQueryRequest req, ResponseBuilder rb) { ShardHandler shardHandler = null; CoreContainer cc = req.getCore().getCoreContainer(); boolean isZkAware = cc.isZooKeeperAware(); rb.isDistrib = req.getParams().getBool(DISTRIB, isZkAware); if (!rb.isDistrib) { // for back compat, a shards param with URLs like localhost:8983/solr will mean that this // search is distributed. final String shards = req.getParams().get(ShardParams.SHARDS); rb.isDistrib = ((shards != null) && (shards.indexOf('/') > 0)); } if (rb.isDistrib) { shardHandler = shardHandlerFactory.getShardHandler(); shardHandler.prepDistributed(rb); if (!rb.isDistrib) { shardHandler = null; // request is not distributed after all and so the shard handler is not needed } } if (isZkAware) { String shardsTolerant = req.getParams().get(ShardParams.SHARDS_TOLERANT); boolean requireZkConnected = shardsTolerant != null && shardsTolerant.equals(ShardParams.REQUIRE_ZK_CONNECTED); ZkController zkController = cc.getZkController(); boolean zkConnected = zkController != null && ! zkController.getZkClient().getConnectionManager().isLikelyExpired(); if (requireZkConnected && false == zkConnected) { throw new SolrException(SolrException.ErrorCode.SERVER_ERROR, "ZooKeeper is not connected"); } else { NamedList headers = rb.rsp.getResponseHeader(); if (headers != null) { headers.add("zkConnected", zkConnected); } } } return shardHandler; }	long method	Long method 2 Feature envy	t	f	t			0	3819	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/handler/component/SearchHandler.java/#L211-L248	2	369	3819
715	YES, I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Comments as code 4. Magic numbers 5. Indecent exposure 6. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public WikiPage getPageInfo( String page, int version ) throws ProviderException { int latest = findLatestVersion(page); int realVersion; WikiPage p = null; if( version == WikiPageProvider.LATEST_VERSION || version == latest || (version == 1 && latest == -1) ) { // // Yes, we need to talk to the top level directory // to get this version. // // I am listening to Press Play On Tape's guitar version of // the good old C64 "Wizardry" -tune at this moment. // Oh, the memories... // realVersion = (latest >= 0) ? latest : 1; p = super.getPageInfo( page, WikiPageProvider.LATEST_VERSION ); if( p != null ) { p.setVersion( realVersion ); } } else { // // The file is not the most recent, so we'll need to // find it from the deep trenches of the "OLD" directory // structure. // realVersion = version; File dir = findOldPageDir( page ); if( !dir.exists() || !dir.isDirectory() ) { return null; } File file = new File( dir, version+FILE_EXT ); if( file.exists() ) { p = new WikiPage( m_engine, page ); p.setLastModified( new Date(file.lastModified()) ); p.setVersion( version ); } } // // Get author and other metadata information // (Modification date has already been set.) // if( p != null ) { try { Properties props = getPageProperties( page ); String author = props.getProperty( realVersion+".author" ); if ( author == null ) { // we might not have a versioned author because the // old page was last maintained by FileSystemProvider Properties props2 = getHeritagePageProperties( page ); author = props2.getProperty( WikiPage.AUTHOR ); } if ( author != null ) { p.setAuthor( author ); } String changenote = props.getProperty( realVersion+".changenote" ); if( changenote != null ) p.setAttribute( WikiPage.CHANGENOTE, changenote ); // Set the props values to the page attributes setCustomProperties(p, props); } catch( IOException e ) { log.error( "Cannot get author for page"+page+": ", e ); } } return p; }	long method	Long method2 Duplicate code3 Comments as code4 Magic numbers5 Indecent exposure6 Feature envy	t	f	t			0	6821	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/providers/VersioningFileProvider.java/#L540-L631	2	715	6821
374	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void testGroupByOrderPreservingDescSort() throws Exception { Properties props = PropertiesUtil.deepCopy(TEST_PROPERTIES); Connection conn = DriverManager.getConnection(getUrl(), props); String tableName = generateUniqueName(); conn.createStatement().execute("CREATE TABLE " + tableName + " (k1 char(1) not null, k2 char(1) not null," + " constraint pk primary key (k1,k2)) split on ('ac','jc','nc')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'd')"); conn.commit(); QueryBuilder queryBuilder = new QueryBuilder() .setSelectExpression("K1,COUNT(*)") .setSelectColumns(Lists.newArrayList("K1")) .setFullTableName(tableName) .setGroupByClause("K1") .setOrderByClause("K1 DESC"); ResultSet rs = executeQuery(conn, queryBuilder); assertTrue(rs.next()); assertEquals("n", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("j", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("a", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertFalse(rs.next()); String expectedPhoenixPlan = "CLIENT PARALLEL 1-WAY REVERSE FULL SCAN OVER " + tableName + "\n" + " SERVER FILTER BY FIRST KEY ONLY\n" + " SERVER AGGREGATE INTO ORDERED DISTINCT ROWS BY [K1]"; validateQueryPlan(conn, queryBuilder, expectedPhoenixPlan, null); }	long method	long method	t	t	t			0	3864	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/it/java/org/apache/phoenix/end2end/BaseAggregateIT.java/#L386-L427	1	374	3864
2013	YES I found bad smells the bad smells are: 1. Long method 2. Repetitive code (similar code blocks for different parameters) 3. Data class (the method is only performing data validation, which could be separated into its own class) 4. Feature envy (the use of a different helper class for extracting data) 5. Long parameter list (the method has a large number of parameters)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void validateDepositDetailForUpdate(final JsonElement element, final FromJsonHelper fromApiJsonHelper, final DataValidatorBuilder baseDataValidator) { if (fromApiJsonHelper.parameterExists(nameParamName, element)) { final String name = fromApiJsonHelper.extractStringNamed(nameParamName, element); baseDataValidator.reset().parameter(nameParamName).value(name).notBlank().notExceedingLengthOf(100); } if (fromApiJsonHelper.parameterExists(shortNameParamName, element)) { final String shortName = fromApiJsonHelper.extractStringNamed(shortNameParamName, element); baseDataValidator.reset().parameter(shortNameParamName).value(shortName).notBlank().notExceedingLengthOf(4); } if (fromApiJsonHelper.parameterExists(descriptionParamName, element)) { final String description = fromApiJsonHelper.extractStringNamed(descriptionParamName, element); baseDataValidator.reset().parameter(descriptionParamName).value(description).notBlank().notExceedingLengthOf(500); } if (fromApiJsonHelper.parameterExists(currencyCodeParamName, element)) { final String currencyCode = fromApiJsonHelper.extractStringNamed(currencyCodeParamName, element); baseDataValidator.reset().parameter(currencyCodeParamName).value(currencyCode).notBlank(); } if (fromApiJsonHelper.parameterExists(digitsAfterDecimalParamName, element)) { final Integer digitsAfterDecimal = fromApiJsonHelper.extractIntegerSansLocaleNamed(digitsAfterDecimalParamName, element); baseDataValidator.reset().parameter(digitsAfterDecimalParamName).value(digitsAfterDecimal).notNull().inMinMaxRange(0, 6); } if (fromApiJsonHelper.parameterExists(inMultiplesOfParamName, element)) { final Integer inMultiplesOf = fromApiJsonHelper.extractIntegerNamed(inMultiplesOfParamName, element, Locale.getDefault()); baseDataValidator.reset().parameter(inMultiplesOfParamName).value(inMultiplesOf).ignoreIfNull().integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(nominalAnnualInterestRateParamName, element)) { final BigDecimal interestRate = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(nominalAnnualInterestRateParamName, element); baseDataValidator.reset().parameter(nominalAnnualInterestRateParamName).value(interestRate).notNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(interestCompoundingPeriodTypeParamName, element)) { final Integer interestCompoundingPeriodType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCompoundingPeriodTypeParamName, element); baseDataValidator.reset().parameter(interestCompoundingPeriodTypeParamName).value(interestCompoundingPeriodType).notNull() .isOneOfTheseValues(SavingsCompoundingInterestPeriodType.integerValues()); } if (fromApiJsonHelper.parameterExists(interestCalculationTypeParamName, element)) { final Integer interestCalculationType = fromApiJsonHelper.extractIntegerSansLocaleNamed(interestCalculationTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationTypeParamName).value(interestCalculationType).notNull() .inMinMaxRange(1, 2); } if (fromApiJsonHelper.parameterExists(interestCalculationDaysInYearTypeParamName, element)) { final Integer interestCalculationDaysInYearType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCalculationDaysInYearTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationDaysInYearTypeParamName).value(interestCalculationDaysInYearType) .notNull().isOneOfTheseValues(360, 365); } if (fromApiJsonHelper.parameterExists(minRequiredOpeningBalanceParamName, element)) { final BigDecimal minOpeningBalance = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(minRequiredOpeningBalanceParamName, element); baseDataValidator.reset().parameter(minRequiredOpeningBalanceParamName).value(minOpeningBalance).ignoreIfNull() .zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyParamName, element)) { final Integer lockinPeriodFrequency = fromApiJsonHelper.extractIntegerWithLocaleNamed(lockinPeriodFrequencyParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyParamName).value(lockinPeriodFrequency).ignoreIfNull() .integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyTypeParamName, element)) { final Integer lockinPeriodFrequencyType = fromApiJsonHelper.extractIntegerSansLocaleNamed(lockinPeriodFrequencyTypeParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyTypeParamName).value(lockinPeriodFrequencyType).inMinMaxRange(0, 3); } if (fromApiJsonHelper.parameterExists(withdrawalFeeForTransfersParamName, element)) { final Boolean isWithdrawalFeeApplicableForTransfers = fromApiJsonHelper.extractBooleanNamed(withdrawalFeeForTransfersParamName, element); baseDataValidator.reset().parameter(withdrawalFeeForTransfersParamName).value(isWithdrawalFeeApplicableForTransfers) .ignoreIfNull().validateForBooleanValue(); } if (fromApiJsonHelper.parameterExists(feeAmountParamName, element)) { final BigDecimal annualFeeAmount = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(feeAmountParamName, element); baseDataValidator.reset().parameter(feeAmountParamName).value(annualFeeAmount).ignoreIfNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(feeOnMonthDayParamName, element)) { final MonthDay monthDayOfAnnualFee = fromApiJsonHelper.extractMonthDayNamed(feeOnMonthDayParamName, element); baseDataValidator.reset().parameter(feeOnMonthDayParamName).value(monthDayOfAnnualFee).ignoreIfNull(); } if (this.fromApiJsonHelper.parameterExists(minBalanceForInterestCalculationParamName, element)) { final BigDecimal minBalanceForInterestCalculation = this.fromApiJsonHelper.extractBigDecimalWithLocaleNamed( minBalanceForInterestCalculationParamName, element); baseDataValidator.reset().parameter(minBalanceForInterestCalculationParamName).value(minBalanceForInterestCalculation) .ignoreIfNull().zeroOrPositiveAmount(); } final Long savingsControlAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue()).value(savingsControlAccountId) .ignoreIfNull().integerGreaterThanZero(); final Long savingsReferenceAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue()) .value(savingsReferenceAccountId).ignoreIfNull().integerGreaterThanZero(); final Long transfersInSuspenseAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue()) .value(transfersInSuspenseAccountId).ignoreIfNull().integerGreaterThanZero(); final Long interestOnSavingsAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue()) .value(interestOnSavingsAccountId).ignoreIfNull().integerGreaterThanZero(); final Long incomeFromFeeId = fromApiJsonHelper.extractLongNamed(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue()).value(incomeFromFeeId) .ignoreIfNull().integerGreaterThanZero(); final Long incomeFromPenaltyId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue()).value(incomeFromPenaltyId) .ignoreIfNull().integerGreaterThanZero(); validatePaymentChannelFundSourceMappings(fromApiJsonHelper, baseDataValidator, element); validateChargeToIncomeAccountMappings(fromApiJsonHelper, baseDataValidator, element); validateTaxWithHoldingParams(baseDataValidator, element, false); }	long method	Long method2 Repetitive code (similar code blocks for different parameters)3 Data class (the method is only performing data validation, which could be separated into its own class)4 Feature envy (the use of a different helper class for extracting data)5 Long parameter list (the method has a large number of parameters)	t	f	t	which could be separated into its own class)4. Feature envy (the use of a different helper class for extracting data)5. Long parameter list (the method has a large number of parameters)		0	12755	https://github.com/apache/fineract/blob/210e380df3ca5c74c8c2fa09e7fe1cffdb87e20a/fineract-provider/src/main/java/org/apache/fineract/portfolio/savings/data/DepositProductDataValidator.java/#L413-L547	2	2013	12755
2259	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void addUTF8Region(StructurePointer clazz, String slotName, String additionalInfo, AbstractPointer utf8String) throws CorruptDataException { long offset = utf8String.getAddress() - clazz.getAddress(); /* We do not want to print UTF8 outside of the ROM class. */ long clazzSize = ((J9ROMClassPointer) clazz).romSize().longValue(); if ((offset > 0) && (offset < clazzSize)) { if (utf8String.notNull()) { long UTF8Length = getUTF8Length(J9UTF8Pointer.cast(utf8String)); if (utf8String.getAddress() < firstJ9_ROM_UTF8) { firstJ9_ROM_UTF8 = utf8String.getAddress(); } if ((utf8String.getAddress() + UTF8Length) > lastJ9_ROM_UTF8) { lastJ9_ROM_UTF8 = utf8String.getAddress() + UTF8Length; } classRegions.add(new J9ClassRegion(utf8String, SlotType.J9_ROM_UTF8, slotName, additionalInfo, UTF8Length, offset, true)); } } }	long method	long method	t	t	t			0	13703	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/debugtools/DDR_VM/src/com/ibm/j9ddr/vm29/tools/ddrinteractive/LinearDumper.java/#L277-L297	1	2259	13703
1654	{"message": "YES I found bad smells", "bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String getLoggerLevel(String loggerName) { String result = null; /*[IF Sidecar19-SE]*/ try { Object logger = getLoggerFromName(loggerName); /*[ELSE] Logger logger = LogManager.getLogManager().getLogger(loggerName); /*[ENDIF]*/ if (logger != null) { // The named Logger exists. Now attempt to obtain its log level. /*[IF Sidecar19-SE]*/ Object level = logger_getLevel.invoke(logger); /*[ELSE] Level level = logger.getLevel(); /*[ENDIF]*/ if (level != null) { /*[IF Sidecar19-SE]*/ result = (String)level_getName.invoke(level); /*[ELSE] result = level.getName(); /*[ENDIF]*/ } else { // A null return from getLevel() means that the Logger // is inheriting its log level from an ancestor. Return an // empty string to the caller. result = ""; //$NON-NLS-1$ } } /*[IF Sidecar19-SE]*/ } catch (Exception e) { throw handleError(e); } /*[ENDIF]*/ return result; }	long method	Long Method, Data Class	t	f	t	Data Class		0	11585	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/jcl/src/java.management/share/classes/com/ibm/java/lang/management/internal/LoggingMXBeanImpl.java/#L148-L186	1	1654	11585
2645	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	long method	t	t	t			0	15150	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	1	2645	15150
1926	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public short syncAll(short syncMode) { short syncState = SYNC_STATE_IN_SYNC; /* vnc classes need to be synchronized with cloudstack */ s_logger.debug("syncing cloudstack db with vnc"); try { for (Class cls : _vncClasses) { /* lock the sync mode*/ _lockSyncMode.lock(); _rwMode = syncMode == DBSyncGeneric.SYNC_MODE_UPDATE; _dbSync.setSyncMode(syncMode); if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check start: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync start: " + DBSyncGeneric.getClassName(cls)); } if (_dbSync.sync(cls) == false) { if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.info("out of sync detected: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.info("out of sync detected and re-synced: " + DBSyncGeneric.getClassName(cls)); } syncState = SYNC_STATE_OUT_OF_SYNC; } if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check finish: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync finish: " + DBSyncGeneric.getClassName(cls)); } /* unlock the sync mode */ _lockSyncMode.unlock(); } } catch (Exception ex) { s_logger.warn("DB Synchronization", ex); syncState = SYNC_STATE_UNKNOWN; if (_lockSyncMode.isLocked()) { _lockSyncMode.unlock(); } } return syncState; }	long method	long method	t	t	t			0	12438	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/juniper-contrail/src/main/java/org/apache/cloudstack/network/contrail/management/ServerDBSyncImpl.java/#L129-L174	1	1926	12438
997	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers (SUGGEST_PLACE) 3. Repeated code 4. Code duplication (calling mLocator.getLoadStatus().name() twice) 5. Inconsistent formatting (explicitly declaring interface type in generic) 6. Feature envy (calling multiple methods from external class mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList);) 7. Nested callbacks/functional complexity 8. Hard-coded values (.name() in if statement) 9. Non-descriptive variable names (suggestionsFuture) 10. Negative conditional statements (!mLocator.getLocatorInfo().isSupportsSuggestions())	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void getSuggestions(final String query) { if (query == null || query.isEmpty()) { return; } // Initialize the locatorSugestion parameters locatorParams(SUGGEST_PLACE); // Attach a listener to the locator task since // the LocatorTask may or may not be loaded the // the very first time a user types text into the search box. // If the Locator is already loaded, the following listener // is invoked immediately. mLocator.addDoneLoadingListener(new Runnable() { @Override public void run() { // Does this locator support suggestions? if (mLocator.getLoadStatus().name() != LoadStatus.LOADED.name()){ //Log.i(TAG,"##### " + mLocator.getLoadStatus().name()); } else if (!mLocator.getLocatorInfo().isSupportsSuggestions()){ return; } //og.i(TAG,"****** " + mLocator.getLoadStatus().name()); final ListenableFuture> suggestionsFuture = mLocator.suggestAsync(query, suggestParams); // Attach a done listener that executes upon completion of the async call suggestionsFuture.addDoneListener(new Runnable() { @Override public void run() { try { // Get the suggestions returned from the locator task. // Store retrieved suggestions for future use (e.g. if the user // selects a retrieved suggestion, it can easily be // geocoded). mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList); } catch (Exception e) { Log.e(TAG, "Error on getting suggestions " + e.getMessage()); } } }); } }); // Initiate the asynchronous call mLocator.loadAsync(); }	long method	Long method2 Magic numbers (SUGGEST_PLACE)3 Repeated code4 Code duplication (calling mLocatorgetLoadStatus()name() twice)5 Inconsistent formatting (explicitly declaring interface type in generic)6 Feature envy (calling multiple methods from external class mSuggestionsList = suggestionsFutureget(); showSuggestedPlaceNames(mSuggestionsList);)7 Nested callbacks/functional complexity8 Hard-coded values (name() in if statement)9 Non-descriptive variable names (suggestionsFuture)	t	f	t			0	9139	https://github.com/Esri/maps-app-android/blob/1af1f74ece08f678ce7de7bf173034d30e1cb100/maps-app/src/main/java/com/esri/android/mapsapp/MapFragment.java/#L735-L781	2	997	9139
2166	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	long method	t	t	t			0	13348	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	1	2166	13348
1680	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public SocketServer(NetworkConfig config, SSLConfig sslConfig, MetricRegistry registry, ArrayList portList) { this.host = config.hostName; this.port = config.port; this.numProcessorThreads = config.numIoThreads; this.maxQueuedRequests = config.queuedMaxRequests; this.sendBufferSize = config.socketSendBufferBytes; this.recvBufferSize = config.socketReceiveBufferBytes; this.maxRequestSize = config.socketRequestMaxBytes; processors = new ArrayList(numProcessorThreads); requestResponseChannel = new SocketRequestResponseChannel(numProcessorThreads, maxQueuedRequests); metrics = new ServerNetworkMetrics(requestResponseChannel, registry, processors); this.acceptors = new ArrayList(); this.ports = new HashMap(); this.validatePorts(portList); this.initializeSSLFactory(sslConfig); }	long method	Long Method	t	f	t			0	11666	https://github.com/linkedin/ambry/blob/1d2e455556058b83f5145740b7f2c5772fa37e1b/ambry-network/src/main/java/com.github.ambry.network/SocketServer.java/#L67-L82	1	1680	11666
880	YES I found bad smells the bad smells are: 1. Long method 2. Method parameter with different types and responsibilities (consumerHeaderKey, consumerHeaderValue, bundleClassPath) 3. The use of abbreviations (wd, dt, cv) 4. Single letter variable names (f, b, os) 5. Nested loops and conditionals	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	Long method2 Method parameter with different types and responsibilities (consumerHeaderKey, consumerHeaderValue, bundleClassPath)3 The use of abbreviations (wd, dt, cv)4 Single letter variable names (f, b, os)5 Nested loops and conditionals	t	f	t	consumerHeaderValue, bundleClassPath)3. The use of abbreviations (wd, dt, cv)4. Single letter variable names (f, b, os)5. Nested loops and conditionals		0	8016	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	2	880	8016
3694	{ "output": "YES I found bad smells", "bad_smells": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	1. long method	t	t	t			0	8659	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	1	3694	8659
1688	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Inconsistent indentation 4. Magic numbers 5. Lack of meaningful variable names 6. Inappropriate or excessive use of comments	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void run( IAction action ) { if ( !preGenerate( ) ) { return; } IFile file = getSelectedFile( ); if ( file != null ) { String url = file.getLocation( ).toOSString( ); Map options = new HashMap( ); options.put( WebViewer.RESOURCE_FOLDER_KEY, ReportPlugin.getDefault( ) .getResourceFolder( file.getProject( ) ) ); options.put( WebViewer.SERVLET_NAME_KEY, WebViewer.VIEWER_DOCUMENT ); Object adapter = ElementAdapterManager.getAdapter( action, IPreviewAction.class ); if ( adapter instanceof IPreviewAction ) { IPreviewAction delegate = (IPreviewAction) adapter; delegate.setProperty( IPreviewConstants.REPORT_PREVIEW_OPTIONS, options ); delegate.setProperty( IPreviewConstants.REPORT_FILE_PATH, url ); delegate.run( ); return; } try { WebViewer.display( url, options ); } catch ( Exception e ) { ExceptionUtil.handle( e ); return; } } else { action.setEnabled( false ); } }	long method	Long method2 Feature envy3 Inconsistent indentation4 Magic numbers5 Lack of meaningful variable names6 Inappropriate or excessive use of comments	t	f	t			0	11692	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.preview.web/src/org/eclipse/birt/report/designer/ui/ide/navigator/GenerateDocumentAction.java/#L39-L87	2	1688	11692
1986	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public ClientListenerResponse doHandle(OdbcRequest req) { if (!busyLock.enterBusy()) return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Failed to handle ODBC request because node is stopping: " + req); if (actx != null) AuthorizationContext.context(actx); try { switch (req.command()) { case QRY_EXEC: return executeQuery((OdbcQueryExecuteRequest)req); case QRY_EXEC_BATCH: return executeBatchQuery((OdbcQueryExecuteBatchRequest)req); case STREAMING_BATCH: return dispatchBatchOrdered((OdbcStreamingBatchRequest)req); case QRY_FETCH: return fetchQuery((OdbcQueryFetchRequest)req); case QRY_CLOSE: return closeQuery((OdbcQueryCloseRequest)req); case META_COLS: return getColumnsMeta((OdbcQueryGetColumnsMetaRequest)req); case META_TBLS: return getTablesMeta((OdbcQueryGetTablesMetaRequest)req); case META_PARAMS: return getParamsMeta((OdbcQueryGetParamsMetaRequest)req); case MORE_RESULTS: return moreResults((OdbcQueryMoreResultsRequest)req); } return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Unsupported ODBC request: " + req); } finally { AuthorizationContext.clear(); busyLock.leaveBusy(); } }	long method	long method	t	t	t			0	12657	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/odbc/odbc/OdbcRequestHandler.java/#L221-L266	1	1986	12657
1548	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected static boolean typeCheckMethodsWithGenerics(ClassNode receiver, ClassNode[] arguments, MethodNode candidateMethod) { if (isUsingUncheckedGenerics(receiver)) { return true; } if (CLASS_Type.equals(receiver) && receiver.isUsingGenerics() && !candidateMethod.getDeclaringClass().equals(receiver) && !(candidateMethod instanceof ExtensionMethodNode)) { return typeCheckMethodsWithGenerics(receiver.getGenericsTypes()[0].getType(), arguments, candidateMethod); } // both candidate method and receiver have generic information so a check is possible GenericsType[] genericsTypes = candidateMethod.getGenericsTypes(); boolean methodUsesGenerics = (genericsTypes != null && genericsTypes.length > 0); boolean isExtensionMethod = candidateMethod instanceof ExtensionMethodNode; if (isExtensionMethod && methodUsesGenerics) { ClassNode[] dgmArgs = new ClassNode[arguments.length + 1]; dgmArgs[0] = receiver; System.arraycopy(arguments, 0, dgmArgs, 1, arguments.length); MethodNode extensionMethodNode = ((ExtensionMethodNode) candidateMethod).getExtensionMethodNode(); return typeCheckMethodsWithGenerics(extensionMethodNode.getDeclaringClass(), dgmArgs, extensionMethodNode, true); } else { return typeCheckMethodsWithGenerics(receiver, arguments, candidateMethod, false); } }	long method	Long method2 Feature envy	t	f	t			0	11258	https://github.com/apache/groovy/blob/00ee0547c00673a93e0843a9d72c8e4293d1efdb/src/main/java/org/codehaus/groovy/transform/stc/StaticTypeCheckingSupport.java/#L1460-L1483	2	1548	11258
195	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void write(String baseDir) throws IOException { String filename = baseDir + File.separator + CharacterDefinition.class.getName().replace('.', File.separatorChar) + CharacterDefinition.FILENAME_SUFFIX; new File(filename).getParentFile().mkdirs(); OutputStream os = new FileOutputStream(filename); try { os = new BufferedOutputStream(os); final DataOutput out = new OutputStreamDataOutput(os); CodecUtil.writeHeader(out, CharacterDefinition.HEADER, CharacterDefinition.VERSION); out.writeBytes(characterCategoryMap, 0, characterCategoryMap.length); for (int i = 0; i < CharacterDefinition.CLASS_COUNT; i++) { final byte b = (byte) ( (invokeMap[i] ? 0x01 : 0x00) | (groupMap[i] ? 0x02 : 0x00) ); out.writeByte(b); } } finally { os.close(); } }	long method	1. long method	t	t	t			0	2234	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/kuromoji/src/tools/java/org/apache/lucene/analysis/ja/util/CharacterDefinitionWriter.java/#L73-L93	1	195	2234
1262	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String shortenDbName(String dbName, int desiredLength) { StringBuilder dbBuf = new StringBuilder(dbName); if (dbBuf.length() > desiredLength) { // remove one vowel at a time, starting at beginning for (int i = dbBuf.length() - 1; i > 0; i--) { // don't remove vowels that are at the beginning of the string (taken care of by the i > 0) or right after an underscore if (dbBuf.charAt(i - 1) == '_') { continue; } char curChar = dbBuf.charAt(i); if (vowelBag.indexOf(curChar) > 0) { dbBuf.deleteCharAt(i); } } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { boolean removedChars = false; int usIndex = dbBuf.lastIndexOf("_"); while (usIndex > 0 && dbBuf.length() > desiredLength) { // if this is the first word in the group, don't pull letters off unless it is 4 letters or more int prevUsIndex = dbBuf.lastIndexOf("_", usIndex - 1); if (prevUsIndex < 0 && usIndex < 4) { break; } // don't remove characters to reduce the size two less than three characters between underscores if (prevUsIndex >= 0 && (usIndex - prevUsIndex) <= 4) { usIndex = prevUsIndex; continue; } // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(usIndex - 2); removedChars = true; if (usIndex > 2) { usIndex = dbBuf.lastIndexOf("_", usIndex - 2); } else { break; } } // now delete the char at the end of the string if necessary if (dbBuf.length() > desiredLength) { int removeIndex = dbBuf.length() - 1; int prevRemoveIndex = dbBuf.lastIndexOf("_", removeIndex - 1); // don't remove characters to reduce the size two less than two characters between underscores if (prevRemoveIndex < 0 || (removeIndex - prevRemoveIndex) >= 3) { // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(removeIndex - 1); removedChars = true; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); removedChars = true; } // if we didn't remove anything break out to avoid an infinite loop if (!removedChars) { break; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { // still not short enough, get more aggressive // don't remove the first segment, just remove the second over and over until we are short enough int firstUs = dbBuf.indexOf("_"); if (firstUs > 0) { int nextUs = dbBuf.indexOf("_", firstUs + 1); if (nextUs > 0) { //Debug.logInfo("couldn't shorten enough normally, removing second segment from " + dbBuf, module); dbBuf.delete(firstUs, nextUs); } } } //Debug.logInfo("Shortened " + dbName + " to " + dbBuf.toString(), module); return dbBuf.toString(); }	long method	Long method2 Feature envy	t	f	t			0	10513	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/entity/src/main/java/org/apache/ofbiz/entity/model/ModelUtil.java/#L155-L248	2	1262	10513
1152	YES I found bad smells: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected VectorizedRowBatch setupOverflowBatch() throws HiveException { int initialColumnCount = vContext.firstOutputColumnIndex(); VectorizedRowBatch overflowBatch; int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; overflowBatch = new VectorizedRowBatch(totalNumColumns); // First, just allocate just the output columns we will be using. for (int i = 0; i < outputProjectionColumnMap.length; i++) { int outputColumn = outputProjectionColumnMap[i]; String typeName = outputTypeInfos[i].getTypeName(); allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); } // Now, add any scratch columns needed for children operators. int outputColumn = initialColumnCount; for (String typeName : vOutContext.getScratchColumnTypeNames()) { allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); } overflowBatch.projectedColumns = outputProjectionColumnMap; overflowBatch.projectionSize = outputProjectionColumnMap.length; overflowBatch.reset(); return overflowBatch; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	10133	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java/#L241-L268	2	1152	10133
309	Yes I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static void m() { C c = new C(); E1 e1 = new E1(); E2 e2 = new E2(); c.foo(e1,e2.getClass()); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	3204	https://github.com/eclipse/org.aspectj/blob/370f291c359cd159c5f3f0abd6e9e53e81234a07/tests/bugs1611/pr336880/Second.java/#L4-L9	2	309	3204
2520	{ "message": "YES I found bad smells", "bad smells": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void visit(DirectedGraph dg) { CompoundDirectedGraph graph = (CompoundDirectedGraph) dg; NodeList roots = new NodeList(); // Find all subgraphs and root subgraphs for (int i = 0; i < graph.nodes.size(); i++) { Object node = graph.nodes.get(i); if (node instanceof Subgraph) { Subgraph s = (Subgraph) node; Insets padding = dg.getPadding(s); s.head = new SubgraphBoundary(s, padding, 0); s.tail = new SubgraphBoundary(s, padding, 2); Edge headToTail = new Edge(s.head, s.tail); headToTail.weight = 10; graph.edges.add(headToTail); graph.containment.add(headToTail); graph.subgraphs.add(s); if (s.getParent() == null) roots.add(s); if (s.members.size() == 2) // The 2 being the head and tail only graph.edges.add(new Edge(s.head, s.tail)); } } buildNestingTreeIndices(roots, 0); convertSubgraphEndpoints(graph); addContainmentEdges(graph); replaceSubgraphsWithBoundaries(graph); }	long method	1. long method	t	t	t			0	14709	https://github.com/eclipse/gef-legacy/blob/14563a9e1f2af636a5364d195cf07dbff6f35fa6/org.eclipse.draw2d/src/org/eclipse/draw2d/graph/ConvertCompoundGraph.java/#L142-L171	1	2520	14709
2254	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	Long method2 Feature envy	t	f	t			0	13687	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	2	2254	13687
581	YES I found bad smells The bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void writeRead() throws IOException { try (XSSFWorkbook workbook = XSSFTestDataSamples.openSampleWorkbook("WithVariousData.xlsx")) { XSSFSheet sheet1 = workbook.getSheetAt(0); XSSFSheet sheet2 = workbook.getSheetAt(1); assertTrue(sheet1.hasComments()); assertFalse(sheet2.hasComments()); // Change on comment on sheet 1, and add another into // sheet 2 Row r5 = sheet1.getRow(4); Comment cc5 = r5.getCell(2).getCellComment(); cc5.setAuthor("Apache POI"); cc5.setString(new XSSFRichTextString("Hello!")); Row r2s2 = sheet2.createRow(2); Cell c1r2s2 = r2s2.createCell(1); assertNull(c1r2s2.getCellComment()); Drawing dg = sheet2.createDrawingPatriarch(); Comment cc2 = dg.createCellComment(new XSSFClientAnchor()); cc2.setAuthor("Also POI"); cc2.setString(new XSSFRichTextString("A new comment")); c1r2s2.setCellComment(cc2); // Save, and re-load the file try (XSSFWorkbook workbookBack = XSSFTestDataSamples.writeOutAndReadBack(workbook)) { // Check we still have comments where we should do sheet1 = workbookBack.getSheetAt(0); sheet2 = workbookBack.getSheetAt(1); assertNotNull(sheet1.getRow(4).getCell(2).getCellComment()); assertNotNull(sheet1.getRow(6).getCell(2).getCellComment()); assertNotNull(sheet2.getRow(2).getCell(1).getCellComment()); // And check they still have the contents they should do assertEquals("Apache POI", sheet1.getRow(4).getCell(2).getCellComment().getAuthor()); assertEquals("Nick Burch", sheet1.getRow(6).getCell(2).getCellComment().getAuthor()); assertEquals("Also POI", sheet2.getRow(2).getCell(1).getCellComment().getAuthor()); assertEquals("Hello!", sheet1.getRow(4).getCell(2).getCellComment().getString().getString()); } } }	long method	Long method	t	f	t			0	5786	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/ooxml/testcases/org/apache/poi/xssf/model/TestCommentsTable.java/#L128-L175	2	581	5786
1298	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3.Complex code, 4.Duplicated code, 5.Exception handling within a loop, 6.Use of abbreviations in method name, 7.Consider splitting up the method into smaller methods.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private XMLEvent expectTag(String expected, boolean allowEnd) throws IOException { XMLEvent ev = null; while (true) { try { ev = events.nextEvent(); } catch (XMLStreamException e) { throw new IOException("Expecting " + expected + ", but got XMLStreamException", e); } switch (ev.getEventType()) { case XMLEvent.ATTRIBUTE: throw new IOException("Got unexpected attribute: " + ev); case XMLEvent.CHARACTERS: if (!ev.asCharacters().isWhiteSpace()) { throw new IOException("Got unxpected characters while " + "looking for " + expected + ": " + ev.asCharacters().getData()); } break; case XMLEvent.END_ELEMENT: if (!allowEnd) { throw new IOException("Got unexpected end event " + "while looking for " + expected); } return ev; case XMLEvent.START_ELEMENT: if (!expected.startsWith("[")) { if (!ev.asStartElement().getName().getLocalPart(). equals(expected)) { throw new IOException("Failed to find <" + expected + ">; " + "got " + ev.asStartElement().getName().getLocalPart() + " instead."); } } return ev; default: // Ignore other event types like comment, etc. if (LOG.isTraceEnabled()) { LOG.trace("Skipping XMLEvent of type " + ev.getEventType() + "(" + ev + ")"); } break; } } }	long method	Long method, 2Magic numbers, 3Complex code, 4Duplicated code, 5Exception handling within a loop, 6Use of abbreviations in method name, 7Consider splitting up the method into smaller methods	t	f	t	2.Magic numbers, 3.Complex code, 4.Duplicated code, 5.Exception handling within a loop, 6.Use of abbreviations in method name, 7.Consider splitting up the method into smaller methods.		0	10639	https://github.com/apache/hadoop/blob/128dd91e10080bdcbcd7d555fa3c4105e55a6b51/hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/OfflineImageReconstructor.java/#L184-L229	2	1298	10639
1428	{ "message": "YES I found bad smells", "detected_bad_smells": [ { "bad_smells_are": [ "Long Method" ] } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void doRawReceiveFile(File path, int size, InputStream clientInput) throws IOException { // Create a temp file to receive the payload, so we don't need to worry about // partially-received files. The host takes care of deleting temp files. File tempfile = File.createTempFile( AgentUtil.TEMP_PREFIX + path.getName() + "-", ".tmp", path.getParentFile()); FileOutputStream output = new FileOutputStream(tempfile); // Keep track of our starting time so we can enforce a timeout on slow but steady uploads. long receiveStartMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); // Keep track of the total received size to verify the payload. long totalSize = 0; long totalReceiveTimeoutMs = RECEIVE_TIMEOUT_MS + TOTAL_RECEIVE_TIMEOUT_MS_PER_MB * (size / 1024 / 1024); try { int bufferSize = 128 * 1024; byte[] buf = new byte[bufferSize]; while (true) { long currentTimeMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); if (currentTimeMs - receiveStartMs > totalReceiveTimeoutMs) { throw new RuntimeException("Receive failed to complete before timeout."); } int remaining = size - (int) totalSize; if (remaining == 0) { break; } int want = bufferSize; if (want > remaining) { want = remaining; } int got = clientInput.read(buf, 0, want); if (got == -1) { break; } output.write(buf, 0, got); totalSize += got; } } finally { output.close(); } if (totalSize != size) { throw new RuntimeException("Received only " + totalSize + " of " + size + " bytes."); } boolean success = tempfile.renameTo(path); if (!success) { throw new RuntimeException("Failed to rename temp file."); } }	long method	bad_smells_are: long method	t	t	t			0	10949	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/android/agent/AgentMain.java/#L189-L237	1	1428	10949
1140	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void transform(XtendConstructor source, JvmGenericType container) { JvmConstructor constructor = typesFactory.createJvmConstructor(); container.getMembers().add(constructor); associator.associatePrimary(source, constructor); JvmVisibility visibility = source.getVisibility(); constructor.setSimpleName(container.getSimpleName()); constructor.setVisibility(visibility); for (XtendParameter parameter : source.getParameters()) { translateParameter(constructor, parameter); } copyAndFixTypeParameters(source.getTypeParameters(), constructor); for (JvmTypeReference exception : source.getExceptions()) { constructor.getExceptions().add(jvmTypesBuilder.cloneWithProxies(exception)); } translateAnnotationsTo(source.getAnnotations(), constructor); setBody(constructor, source.getExpression()); jvmTypesBuilder.copyDocumentationTo(source, constructor); }	long method	Long method2 Feature envy	t	f	t			0	10089	https://github.com/eclipse/xtext-xtend/blob/20500a324127e3ee73cb793a13430ee140246fa7/org.eclipse.xtend.core/src/org/eclipse/xtend/core/jvmmodel/XtendJvmModelInferrer.java/#L721-L738	2	1140	10089
2571	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private synchronized void checkHealth() { CalculatedStatus status = calculateStatus(); boolean healthy = status.isHealthy(); long now = System.currentTimeMillis(); if (healthy) { stateLastGood.set(now); if (lastPublished == LastPublished.FAILED) { if (currentRecoveryStartTime == null) { LOG.info("{} check for {}, now recovering: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing recovering: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentFailureStartTime != null) { LOG.info("{} check for {}, now healthy: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still healthy: {}", new Object[] {this, entity, getDescription(status)}); } } } else { stateLastFail.set(now); if (lastPublished != LastPublished.FAILED) { if (currentFailureStartTime == null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing failing: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentRecoveryStartTime != null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still failed: {}", new Object[] {this, entity, getDescription(status)}); } } } }	long method	long method	t	t	t			0	14900	https://github.com/apache/brooklyn-server/blob/880eb1da00f6358d7fd76d065322e3685bfb1a04/policy/src/main/java/org/apache/brooklyn/policy/ha/AbstractFailureDetector.java/#L223-L265	1	2571	14900
1363	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private String formatQueryString(final String projectUri, final String[] args) { final StringBuffer result = new StringBuffer(); if (projectUri != null) { if (isCompatibleMode) { result.append("puri="); //$NON-NLS-1$ result.append(URLEncode.encode(projectUri.toString())); } else { final ArtifactID artifactID = new ArtifactID(projectUri); result.append("pguid="); //$NON-NLS-1$ result.append(URLEncode.encode(artifactID.getToolSpecificID())); } } else if (!isCompatibleMode) { result.append("pcguid="); //$NON-NLS-1$ result.append(URLEncode.encode(collectionId.toString())); } for (int i = 0; i < args.length - 1; i += 2) { final String name = args[i]; final String value = args[i + 1]; if (name != null) { if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(name)); } if (value != null) { if (name != null) { result.append('='); } else if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(value)); } } return result.toString(); }	long method	long method, feature envy	t	t	t	feature envy		0	10780	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/util/TSWAHyperlinkBuilder.java/#L518-L559	1	1363	10780
270	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public T callWithTimeout(Callable callable, long timeoutDuration, TimeUnit timeoutUnit) throws ExecutionException { checkNotNull(callable); checkNotNull(timeoutUnit); try { return callable.call(); } catch (RuntimeException e) { throw new UncheckedExecutionException(e); } catch (Exception e) { throw new ExecutionException(e); } catch (Error e) { throw new ExecutionError(e); } catch (Throwable e) { // It's a non-Error, non-Exception Throwable. Such classes are usually intended to extend // Exception, so we'll treat it like an Exception. throw new ExecutionException(e); } }	long method	1. long method	t	t	t			0	2901	https://github.com/google/guava/blob/be92294be598b9b6ff0bd1cae3335759dafcb534/guava/src/com/google/common/util/concurrent/FakeTimeLimiter.java/#L49-L67	1	270	2901
2703	YES I found bad smells the bad smells are: 1. Long method, 2. Duplicate code, 3. Indecent exposure, 4. Inappropriate intimacy, 5. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static Class findProviderClass(String className, ClassLoader cl, boolean doFallback) throws ClassNotFoundException, ConfigurationError { //throw security exception if the calling thread is not allowed to access the //class. Restrict the access to the package classes as specified in java.security policy. SecurityManager security = System.getSecurityManager(); try{ if (security != null){ final int lastDot = className.lastIndexOf('.'); String packageName = className; if (lastDot != -1) packageName = className.substring(0, lastDot); security.checkPackageAccess(packageName); } }catch(SecurityException e){ throw e; } Class providerClass; if (cl == null) { // XXX Use the bootstrap ClassLoader. There is no way to // load a class using the bootstrap ClassLoader that works // in both JDK 1.1 and Java 2. However, this should still // work b/c the following should be true: // // (cl == null) iff current ClassLoader == null // // Thus Class.forName(String) will use the current // ClassLoader which will be the bootstrap ClassLoader. providerClass = Class.forName(className); } else { try { providerClass = cl.loadClass(className); } catch (ClassNotFoundException x) { if (doFallback) { // Fall back to current classloader ClassLoader current = ObjectFactory.class.getClassLoader(); if (current == null) { providerClass = Class.forName(className); } else if (cl != current) { cl = current; providerClass = cl.loadClass(className); } else { throw x; } } else { throw x; } } } return providerClass; }	long method	Long method, 2 Duplicate code, 3 Indecent exposure, 4 Inappropriate intimacy, 5 Feature envy	t	f	t	2. Duplicate code, 3. Indecent exposure, 4. Inappropriate intimacy, 5. Feature envy		0	15335	https://github.com/apache/servicemix-bundles/blob/5f2c7727f71c167997947ad4604f9b8200952af2/xalan-2.7.2/src/main/java/org/apache/xalan/xsltc/runtime/ObjectFactory.java/#L477-L529	2	2703	15335
1513	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static List> getFacilityContactMechValueMaps(Delegator delegator, String facilityId, boolean showOld, String contactMechTypeId) { List> facilityContactMechValueMaps = new LinkedList>(); List allFacilityContactMechs = null; try { List tempCol = EntityQuery.use(delegator).from("FacilityContactMech").where("facilityId", facilityId).queryList(); if (contactMechTypeId != null) { List tempColTemp = new LinkedList(); for (GenericValue partyContactMech: tempCol) { GenericValue contactMech = delegator.getRelatedOne("ContactMech", partyContactMech, false); if (contactMech != null && contactMechTypeId.equals(contactMech.getString("contactMechTypeId"))) { tempColTemp.add(partyContactMech); } } tempCol = tempColTemp; } if (!showOld) tempCol = EntityUtil.filterByDate(tempCol, true); allFacilityContactMechs = tempCol; } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (allFacilityContactMechs == null) return facilityContactMechValueMaps; for (GenericValue facilityContactMech: allFacilityContactMechs) { GenericValue contactMech = null; try { contactMech = facilityContactMech.getRelatedOne("ContactMech", false); } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (contactMech != null) { Map facilityContactMechValueMap = new HashMap(); facilityContactMechValueMaps.add(facilityContactMechValueMap); facilityContactMechValueMap.put("contactMech", contactMech); facilityContactMechValueMap.put("facilityContactMech", facilityContactMech); try { facilityContactMechValueMap.put("contactMechType", contactMech.getRelatedOne("ContactMechType", true)); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { List facilityContactMechPurposes = facilityContactMech.getRelated("FacilityContactMechPurpose", null, null, false); if (!showOld) facilityContactMechPurposes = EntityUtil.filterByDate(facilityContactMechPurposes, true); facilityContactMechValueMap.put("facilityContactMechPurposes", facilityContactMechPurposes); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { if ("POSTAL_ADDRESS".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("postalAddress", contactMech.getRelatedOne("PostalAddress", false)); } else if ("TELECOM_NUMBER".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("telecomNumber", contactMech.getRelatedOne("TelecomNumber", false)); } } catch (GenericEntityException e) { Debug.logWarning(e, module); } } } return facilityContactMechValueMaps; }	long method	Long method2 Feature envy	t	f	t			0	11161	https://github.com/apache/ofbiz/blob/7ba7f3c2e16df6c8db0d8114e124957199cea1ff/applications/party/src/main/java/org/apache/ofbiz/party/contact/ContactMechWorker.java/#L129-L198	2	1513	11161
4232	YES, I found bad smells the bad smells are: 1. Long methods 2. Feature envy 3. Poor exception handling 4. Overuse of if/else statements 5. Mixing of responsibilities (e.g. handling both proxy and transaction logic in one method) 6. Poor variable naming (e.g. "target", "isNewEm")	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @Nullable public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { // Invocation on EntityManager interface coming in... if (method.getName().equals("equals")) { // Only consider equal when proxies are identical. return (proxy == args[0]); } else if (method.getName().equals("hashCode")) { // Use hashCode of EntityManager proxy. return hashCode(); } else if (method.getName().equals("toString")) { // Deliver toString without touching a target EntityManager. return "Shared EntityManager proxy for target factory [" + this.targetFactory + "]"; } else if (method.getName().equals("getEntityManagerFactory")) { // JPA 2.0: return EntityManagerFactory without creating an EntityManager. return this.targetFactory; } else if (method.getName().equals("getCriteriaBuilder") || method.getName().equals("getMetamodel")) { // JPA 2.0: return EntityManagerFactory's CriteriaBuilder/Metamodel (avoid creation of EntityManager) try { return EntityManagerFactory.class.getMethod(method.getName()).invoke(this.targetFactory); } catch (InvocationTargetException ex) { throw ex.getTargetException(); } } else if (method.getName().equals("unwrap")) { // JPA 2.0: handle unwrap method - could be a proxy match. Class targetClass = (Class) args[0]; if (targetClass != null && targetClass.isInstance(proxy)) { return proxy; } } else if (method.getName().equals("isOpen")) { // Handle isOpen method: always return true. return true; } else if (method.getName().equals("close")) { // Handle close method: suppress, not valid. return null; } else if (method.getName().equals("getTransaction")) { throw new IllegalStateException( "Not allowed to create transaction on shared EntityManager - " + "use Spring transactions or EJB CMT instead"); } // Determine current EntityManager: either the transactional one // managed by the factory or a temporary one for the given invocation. EntityManager target = EntityManagerFactoryUtils.doGetTransactionalEntityManager( this.targetFactory, this.properties, this.synchronizedWithTransaction); if (method.getName().equals("getTargetEntityManager")) { // Handle EntityManagerProxy interface. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } return target; } else if (method.getName().equals("unwrap")) { Class targetClass = (Class) args[0]; if (targetClass == null) { return (target != null ? target : proxy); } // We need a transactional target now. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } // Still perform unwrap call on target EntityManager. } else if (transactionRequiringMethods.contains(method.getName())) { // We need a transactional target now, according to the JPA spec. // Otherwise, the operation would get accepted but remain unflushed... if (target == null || (!TransactionSynchronizationManager.isActualTransactionActive() && !target.getTransaction().isActive())) { throw new TransactionRequiredException("No EntityManager with actual transaction available " + "for current thread - cannot reliably process '" + method.getName() + "' call"); } } // Regular EntityManager operations. boolean isNewEm = false; if (target == null) { logger.debug("Creating new EntityManager for shared EntityManager invocation"); target = (!CollectionUtils.isEmpty(this.properties) ? this.targetFactory.createEntityManager(this.properties) : this.targetFactory.createEntityManager()); isNewEm = true; } // Invoke method on current EntityManager. try { Object result = method.invoke(target, args); if (result instanceof Query) { Query query = (Query) result; if (isNewEm) { Class[] ifcs = ClassUtils.getAllInterfacesForClass(query.getClass(), this.proxyClassLoader); result = Proxy.newProxyInstance(this.proxyClassLoader, ifcs, new DeferredQueryInvocationHandler(query, target)); isNewEm = false; } else { EntityManagerFactoryUtils.applyTransactionTimeout(query, this.targetFactory); } } return result; } catch (InvocationTargetException ex) { throw ex.getTargetException(); } finally { if (isNewEm) { EntityManagerFactoryUtils.closeEntityManager(target); } } }	long method	Long methods2 Feature envy3 Poor exception handling 4 Overuse of if/else statements 5 Mixing of responsibilities (eg handling both proxy and transaction logic in one method) 6 Poor variable naming (eg "target", "isNewEm")	t	f	t	"isNewEm")		0	11137	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-orm/src/main/java/org/springframework/orm/jpa/SharedEntityManagerCreator.java/#L212-L331	2	4232	11137
2419	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code (in the if statement checking for targetType) 4. Null checks 5. Catching throwable instead of specific exception 6. Hardcoding class names and checking for specific class name (String editorName = targetType.getName() + "Editor") 7. Not following naming conventions (targetType instead of targetClass) 8. Use of two return statements within one method (line 10 and line 21)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Nullable public static PropertyEditor findEditorByConvention(@Nullable Class targetType) { if (targetType == null || targetType.isArray() || unknownEditorTypes.contains(targetType)) { return null; } ClassLoader cl = targetType.getClassLoader(); if (cl == null) { try { cl = ClassLoader.getSystemClassLoader(); if (cl == null) { return null; } } catch (Throwable ex) { // e.g. AccessControlException on Google App Engine if (logger.isDebugEnabled()) { logger.debug("Could not access system ClassLoader: " + ex); } return null; } } String editorName = targetType.getName() + "Editor"; try { Class editorClass = cl.loadClass(editorName); if (!PropertyEditor.class.isAssignableFrom(editorClass)) { if (logger.isInfoEnabled()) { logger.info("Editor class [" + editorName + "] does not implement [java.beans.PropertyEditor] interface"); } unknownEditorTypes.add(targetType); return null; } return (PropertyEditor) instantiateClass(editorClass); } catch (ClassNotFoundException ex) { if (logger.isTraceEnabled()) { logger.trace("No property editor [" + editorName + "] found for type " + targetType.getName() + " according to 'Editor' suffix convention"); } unknownEditorTypes.add(targetType); return null; } }	long method	Long method2 Feature envy3 Duplicate code (in the if statement checking for targetType)4 Null checks5 Catching throwable instead of specific exception6 Hardcoding class names and checking for specific class name (String editorName = targetTypegetName() + "Editor")7 Not following naming conventions (targetType instead of targetClass)8 Use of two return statements within one method (line	t	f	t			0	14427	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-beans/src/main/java/org/springframework/beans/BeanUtils.java/#L504-L546	2	2419	14427
2703	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static Class findProviderClass(String className, ClassLoader cl, boolean doFallback) throws ClassNotFoundException, ConfigurationError { //throw security exception if the calling thread is not allowed to access the //class. Restrict the access to the package classes as specified in java.security policy. SecurityManager security = System.getSecurityManager(); try{ if (security != null){ final int lastDot = className.lastIndexOf('.'); String packageName = className; if (lastDot != -1) packageName = className.substring(0, lastDot); security.checkPackageAccess(packageName); } }catch(SecurityException e){ throw e; } Class providerClass; if (cl == null) { // XXX Use the bootstrap ClassLoader. There is no way to // load a class using the bootstrap ClassLoader that works // in both JDK 1.1 and Java 2. However, this should still // work b/c the following should be true: // // (cl == null) iff current ClassLoader == null // // Thus Class.forName(String) will use the current // ClassLoader which will be the bootstrap ClassLoader. providerClass = Class.forName(className); } else { try { providerClass = cl.loadClass(className); } catch (ClassNotFoundException x) { if (doFallback) { // Fall back to current classloader ClassLoader current = ObjectFactory.class.getClassLoader(); if (current == null) { providerClass = Class.forName(className); } else if (cl != current) { cl = current; providerClass = cl.loadClass(className); } else { throw x; } } else { throw x; } } } return providerClass; }	long method	long method, blob	t	t	t	blob		0	15335	https://github.com/apache/servicemix-bundles/blob/5f2c7727f71c167997947ad4604f9b8200952af2/xalan-2.7.2/src/main/java/org/apache/xalan/xsltc/runtime/ObjectFactory.java/#L477-L529	1	2703	15335
2110	YES I found bad smellsthe bad smells are: 1. Long method 2. Repeated code (sentryClient.grantRoleToGroups() and sentryClient.revokeRoleFromGroups()) 3. Mixing of concerns (roles and groups being handled in the same method) 4. Lack of proper error handling (catch block does not handle all types of exceptions) 5. Inconsistent naming conventions (camel case and underscore usage) 6. Using generic exception types instead of specific ones 7. Lack of comments/documentation to explain the purpose of the code and its functionality. 8. Nested try-catch blocks 9. Tight coupling (dependency on specific implementation of SentryClient) 10. Code duplication (grant/revoke functionality is repeated for each role)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	Long method2 Repeated code (sentryClientgrantRoleToGroups() and sentryClientrevokeRoleFromGroups())3 Mixing of concerns (roles and groups being handled in the same method)4 Lack of proper error handling (catch block does not handle all types of exceptions)5 Inconsistent naming conventions (camel case and underscore usage)6 Using generic exception types instead of specific ones7 Lack of comments/documentation to explain the purpose of the code and its functionality8 Nested try-catch blocks9 Tight coupling (dependency on specific implementation of SentryClient)	t	f	t			0	13182	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	2	2110	13182
662	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final Element getDocumentElement() { int dochandle=dtm.getDocument(); int elementhandle=DTM.NULL; for(int kidhandle=dtm.getFirstChild(dochandle); kidhandle!=DTM.NULL; kidhandle=dtm.getNextSibling(kidhandle)) { switch(dtm.getNodeType(kidhandle)) { case Node.ELEMENT_NODE: if(elementhandle!=DTM.NULL) { elementhandle=DTM.NULL; // More than one; ill-formed. kidhandle=dtm.getLastChild(dochandle); // End loop } else elementhandle=kidhandle; break; // These are harmless; document is still wellformed case Node.COMMENT_NODE: case Node.PROCESSING_INSTRUCTION_NODE: case Node.DOCUMENT_TYPE_NODE: break; default: elementhandle=DTM.NULL; // ill-formed kidhandle=dtm.getLastChild(dochandle); // End loop break; } } if(elementhandle==DTM.NULL) throw new DTMDOMException(DOMException.NOT_SUPPORTED_ERR); else return (Element)(dtm.getNode(elementhandle)); }	long method	Long method2 Feature envy	t	f	t			0	6455	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xml/internal/dtm/ref/DTMNodeProxy.java/#L619-L656	2	662	6455
195	{"message": "YES I found bad smells. The bad smells are: 1. Long method"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void write(String baseDir) throws IOException { String filename = baseDir + File.separator + CharacterDefinition.class.getName().replace('.', File.separatorChar) + CharacterDefinition.FILENAME_SUFFIX; new File(filename).getParentFile().mkdirs(); OutputStream os = new FileOutputStream(filename); try { os = new BufferedOutputStream(os); final DataOutput out = new OutputStreamDataOutput(os); CodecUtil.writeHeader(out, CharacterDefinition.HEADER, CharacterDefinition.VERSION); out.writeBytes(characterCategoryMap, 0, characterCategoryMap.length); for (int i = 0; i < CharacterDefinition.CLASS_COUNT; i++) { final byte b = (byte) ( (invokeMap[i] ? 0x01 : 0x00) | (groupMap[i] ? 0x02 : 0x00) ); out.writeByte(b); } } finally { os.close(); } }	long method	1. long method	t	t	t			0	2234	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/kuromoji/src/tools/java/org/apache/lucene/analysis/ja/util/CharacterDefinitionWriter.java/#L73-L93	2	195	2234
2359	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean makeAcquisitionUnstealable(final MessageInstanceConsumer consumer) { EntryState state = _state; if(state instanceof StealableConsumerAcquiredState && ((StealableConsumerAcquiredState) state).getConsumer() == consumer) { UnstealableConsumerAcquiredState unstealableState = ((StealableConsumerAcquiredState) state).getUnstealableState(); boolean updated = _stateUpdater.compareAndSet(this, state, unstealableState); if(updated) { notifyStateChange(state, unstealableState); } return updated; } return state instanceof UnstealableConsumerAcquiredState && ((UnstealableConsumerAcquiredState) state).getConsumer() == consumer; }	long method	Long method	t	f	t			0	14234	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/queue/QueueEntryImpl.java/#L336-L353	2	2359	14234
1552	YES I found bad smells the bad smells are: 1. Long method 2. Feature Envy 3. Nested conditionals 4. Inconsistent variable naming 5. Unused code 6. Inappropriate naming (e.g. delegate, parent) 7. Complex nested operations 8. Mixed responsibilities (handling XML and DOM implementation separately)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void startElement(String uri, String localName, String qName, Attributes attributes) throws SAXException { if (delegate != null) { delegateStack.push(qName); delegate.startElement(uri, localName, qName, attributes); } else if (domImplementation != null) { //domImplementation is set so we need to start a new DOM building sub-process TransformerHandler handler; try { handler = tFactory.newTransformerHandler(); } catch (TransformerConfigurationException e) { throw new SAXException("Error creating a new TransformerHandler", e); } Document doc = domImplementation.createDocument(uri, qName, null); //It's easier to work with an empty document, so remove the root element doc.removeChild(doc.getDocumentElement()); handler.setResult(new DOMResult(doc)); Area parent = (Area)areaStack.peek(); ((ForeignObject)parent).setDocument(doc); //activate delegate for nested foreign document domImplementation = null; //Not needed anymore now this.delegate = handler; delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { boolean handled = true; if ("".equals(uri)) { if (localName.equals("structureTree")) { /* The area tree parser no longer supports the structure tree. */ delegate = new DefaultHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = startAreaTreeElement(localName, attributes); } } else { ContentHandlerFactoryRegistry registry = userAgent.getContentHandlerFactoryRegistry(); ContentHandlerFactory factory = registry.getFactory(uri); if (factory != null) { delegate = factory.createContentHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = false; } } if (!handled) { if (uri == null || uri.length() == 0) { throw new SAXException("Unhandled element " + localName + " in namespace: " + uri); } else { log.warn("Unhandled element " + localName + " in namespace: " + uri); } } } }	long method	Long method2 Feature Envy3 Nested conditionals4 Inconsistent variable naming5 Unused code6 Inappropriate naming (eg delegate, parent)7 Complex nested operations 8 Mixed responsibilities (handling XML and DOM implementation separately)	t	f	t	parent)7. Complex nested operations 8. Mixed responsibilities (handling XML and DOM implementation separately)		0	11269	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/area/AreaTreeParser.java/#L260-L323	2	1552	11269
5676	{ "response": "YES I found bad smells", "the bad smells are": [ "Long method", "Feature envy", "Long parameter list" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void finishRestore(final Timer.Context context, Map> commitToStats, List commitsToRollback, final String startRestoreTime, final String restoreToInstant) throws IOException { HoodieTable table = HoodieTable.getHoodieTable( new HoodieTableMetaClient(jsc.hadoopConfiguration(), config.getBasePath(), true), config, jsc); Optional durationInMs = Optional.empty(); Long numFilesDeleted = 0L; for (Map.Entry> commitToStat : commitToStats.entrySet()) { List stats = commitToStat.getValue(); numFilesDeleted = stats.stream().mapToLong(stat -> stat.getSuccessDeleteFiles().size()) .sum(); } if (context != null) { durationInMs = Optional.of(metrics.getDurationInMs(context.stop())); metrics.updateRollbackMetrics(durationInMs.get(), numFilesDeleted); } HoodieRestoreMetadata restoreMetadata = AvroUtils .convertRestoreMetadata(startRestoreTime, durationInMs, commitsToRollback, commitToStats); table.getActiveTimeline().saveAsComplete( new HoodieInstant(true, HoodieTimeline.RESTORE_ACTION, startRestoreTime), AvroUtils.serializeRestoreMetadata(restoreMetadata)); logger.info("Commits " + commitsToRollback + " rollback is complete. Restored dataset to " + restoreToInstant); if (!table.getActiveTimeline().getCleanerTimeline().empty()) { logger.info("Cleaning up older restore meta files"); // Cleanup of older cleaner meta files // TODO - make the commit archival generic and archive rollback metadata FSUtils.deleteOlderRollbackMetaFiles(fs, table.getMetaClient().getMetaPath(), table.getActiveTimeline().getRestoreTimeline().getInstants()); } }	long method	long method, feature envy, long parameter list	t	t	t	feature envy, long parameter list		0	11770	https://github.com/apache/incubator-hudi/blob/194d904c99ebd013af55eac7509e3e79193dce77/hoodie-client/src/main/java/com/uber/hoodie/HoodieWriteClient.java/#L928-L957	2	5676	11770
2272	{ "response": "YES I found bad smells", "detected_bad_smells": [ "1. Long Method", "2. Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	13768	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	1	2272	13768
2198	{ "response": "YES, I found bad smells", "detected_bad_smells": [ "The bad smells are: Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	the bad smells are: long method	t	t	t			0	13492	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	1	2198	13492
1046	{"message": "YES, I found bad smells", "bad_smells": ["Long Method", "Blob"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public List discoverHosts(final AddHostCmd cmd) throws IllegalArgumentException, DiscoveryException, InvalidParameterValueException { Long dcId = cmd.getZoneId(); final Long podId = cmd.getPodId(); final Long clusterId = cmd.getClusterId(); String clusterName = cmd.getClusterName(); final String url = cmd.getUrl(); final String username = cmd.getUsername(); final String password = cmd.getPassword(); final List hostTags = cmd.getHostTags(); dcId = _accountMgr.checkAccessAndSpecifyAuthority(CallContext.current().getCallingAccount(), dcId); // this is for standalone option if (clusterName == null && clusterId == null) { clusterName = "Standalone-" + url; } if (clusterId != null) { final ClusterVO cluster = _clusterDao.findById(clusterId); if (cluster == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("can not find cluster for specified clusterId"); ex.addProxyObject(clusterId.toString(), "clusterId"); throw ex; } else { if (cluster.getGuid() == null) { final List hosts = listAllHostsInCluster(clusterId); if (!hosts.isEmpty()) { final CloudRuntimeException ex = new CloudRuntimeException("Guid is not updated for cluster with specified cluster id; need to wait for hosts in this cluster to come up"); ex.addProxyObject(cluster.getUuid(), "clusterId"); throw ex; } } } } return discoverHostsFull(dcId, podId, clusterId, clusterName, url, username, password, cmd.getHypervisor(), hostTags, cmd.getFullUrlParams(), false); }	long method	long method, blob	t	t	t	blob		0	9456	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/resource/ResourceManagerImpl.java/#L573-L611	1	1046	9456
2203	YES, I found bad smells The bad smells are: 1. Long Method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static byte[] encodeBase64(byte[] binaryData, boolean isChunked) { int lengthDataBits = binaryData.length * EIGHTBIT; int fewerThan24bits = lengthDataBits % TWENTYFOURBITGROUP; int numberTriplets = lengthDataBits / TWENTYFOURBITGROUP; byte encodedData[] = null; int encodedDataLength = 0; int nbrChunks = 0; if (fewerThan24bits != 0) { //data not divisible by 24 bit encodedDataLength = (numberTriplets + 1) * 4; } else { // 16 or 8 bit encodedDataLength = numberTriplets * 4; } // If the output is to be "chunked" into 76 character sections, // for compliance with RFC 2045 MIME, then it is important to // allow for extra length to account for the separator(s) if (isChunked) { nbrChunks = (CHUNK_SEPARATOR.length == 0 ? 0 : (int)Math.ceil((float)encodedDataLength / CHUNK_SIZE)); encodedDataLength += nbrChunks * CHUNK_SEPARATOR.length; } encodedData = new byte[encodedDataLength]; byte k = 0, l = 0, b1 = 0, b2 = 0, b3 = 0; int encodedIndex = 0; int dataIndex = 0; int i = 0; int nextSeparatorIndex = CHUNK_SIZE; int chunksSoFar = 0; //log.debug("number of triplets = " + numberTriplets); for (i = 0; i < numberTriplets; i++) { dataIndex = i * 3; b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; b3 = binaryData[dataIndex + 2]; //log.debug("b1= " + b1 +", b2= " + b2 + ", b3= " + b3); l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); byte val3 = ((b3 & SIGN) == 0) ? (byte)(b3 >> 6) : (byte)((b3) >> 6 ^ 0xfc); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; //log.debug( "val2 = " + val2 ); //log.debug( "k4 = " + (k<<4) ); //log.debug( "vak = " + (val2 | (k<<4)) ); encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[(l << 2) | val3]; encodedData[encodedIndex + 3] = lookUpBase64Alphabet[b3 & 0x3f]; encodedIndex += 4; // If we are chunking, let's put a chunk separator down. if (isChunked) { // this assumes that CHUNK_SIZE % 4 == 0 if (encodedIndex == nextSeparatorIndex) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedIndex, CHUNK_SEPARATOR.length); chunksSoFar++; nextSeparatorIndex = (CHUNK_SIZE * (chunksSoFar + 1)) + (chunksSoFar * CHUNK_SEPARATOR.length); encodedIndex += CHUNK_SEPARATOR.length; } } } // form integral number of 6-bit groups dataIndex = i * 3; if (fewerThan24bits == EIGHTBIT) { b1 = binaryData[dataIndex]; k = (byte)(b1 & 0x03); //log.debug("b1=" + b1); //log.debug("b1<<2 = " + (b1>>2) ); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[k << 4]; encodedData[encodedIndex + 2] = PAD; encodedData[encodedIndex + 3] = PAD; } else if (fewerThan24bits == SIXTEENBIT) { b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[l << 2]; encodedData[encodedIndex + 3] = PAD; } if (isChunked) { // we also add a separator to the end of the final chunk. if (chunksSoFar < nbrChunks) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedDataLength - CHUNK_SEPARATOR.length, CHUNK_SEPARATOR.length); } } return encodedData; }	long method	Long Method2 Feature Envy	t	f	t			0	13507	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/mosgi/jmx.agent/src/main/java/org/apache/felix/mosgi/jmx/agent/mx4j/util/Base64Codec.java/#L218-L377	2	2203	13507
2072	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean configureHA(final Long resourceId, final HAResource.ResourceType resourceType, final Boolean enable, final String haProvider) { return Transaction.execute(new TransactionCallback() { @Override public Boolean doInTransaction(TransactionStatus status) { HAConfigVO haConfig = (HAConfigVO) haConfigDao.findHAResource(resourceId, resourceType); if (haConfig == null) { haConfig = new HAConfigVO(); if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (enable != null) { haConfig.setEnabled(enable); haConfig.setManagementServerId(ManagementServerNode.getManagementServerId()); } haConfig.setResourceId(resourceId); haConfig.setResourceType(resourceType); if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } if (haConfigDao.persist(haConfig) != null) { return true; } } else { if (enable != null) { haConfig.setEnabled(enable); } if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } return haConfigDao.update(haConfig.getId(), haConfig); } return false; } }); }	long method	long method	t	t	t			0	13027	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/org/apache/cloudstack/ha/HAManagerImpl.java/#L337-L374	1	2072	13027
1962	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public AsyncContextEvent(Context context,AsyncContextState asyncContext, HttpChannelState state, Request baseRequest, ServletRequest request, ServletResponse response) { super(null,request,response,null); _context=context; _asyncContext=asyncContext; _state=state; // If we haven't been async dispatched before if (baseRequest.getAttribute(AsyncContext.ASYNC_REQUEST_URI)==null) { // We are setting these attributes during startAsync, when the spec implies that // they are only available after a call to AsyncContext.dispatch(...); // have we been forwarded before? String uri=(String)baseRequest.getAttribute(RequestDispatcher.FORWARD_REQUEST_URI); if (uri!=null) { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,uri); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_CONTEXT_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_SERVLET_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getAttribute(RequestDispatcher.FORWARD_PATH_INFO)); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getAttribute(RequestDispatcher.FORWARD_QUERY_STRING)); } else { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,baseRequest.getRequestURI()); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getContextPath()); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getServletPath()); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getPathInfo()); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getQueryString()); } } }	long method	long method	t	t	t			0	12586	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-server/src/main/java/org/eclipse/jetty/server/AsyncContextEvent.java/#L42-L74	1	1962	12586
2558	YES I found bad smells: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	14834	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	2	2558	14834
984	YES I found bad smells the bad smells are: 1. Long method 2. Inappropriate naming conventions for variables (e.g. "v", "l", "vd") 3. Feature envy (defining a variable in a different class) 4. Use of unintuitive data types (e.g. List, Set, VarSymbol) 5. Poor code readability and organization 6. Code duplication (e.g. "vd.vartype = access(vd.vartype)") 7. Lack of comments and documentation.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: List freevarDefs(int pos, List freevars, Symbol owner, long additionalFlags) { long flags = FINAL | SYNTHETIC | additionalFlags; List defs = List.nil(); Set proxyNames = new HashSet<>(); for (List l = freevars; l.nonEmpty(); l = l.tail) { VarSymbol v = l.head; int index = 0; Name proxyName; do { proxyName = proxyName(v.name, index++); } while (!proxyNames.add(proxyName)); VarSymbol proxy = new VarSymbol( flags, proxyName, v.erasure(types), owner); proxies.put(v, proxy); JCVariableDecl vd = make.at(pos).VarDef(proxy, null); vd.vartype = access(vd.vartype); defs = defs.prepend(vd); } return defs; }	long method	Long method2 Inappropriate naming conventions for variables (eg "v", "l", "vd")3 Feature envy (defining a variable in a different class)4 Use of unintuitive data types (eg List, Set, VarSymbol) 5 Poor code readability and organization 6 Code duplication (eg "vdvartype = access(vdvartype)")7 Lack of comments and documentation	t	f	t	"l", "vd")3. Feature envy (defining a variable in a different class)4. Use of unintuitive data types (e.g. List, Set, VarSymbol) 5. Poor code readability and organization 6. Code duplication (e.g. "vd.vartype = access(vd.vartype)")7. Lack of comments and documentation.		0	8875	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.compiler/share/classes/com/sun/tools/javac/comp/Lower.java/#L1457-L1477	2	984	8875
1836	YES I found bad smells The bad smells are: Long method, Inappropriate naming, Duplicate code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static boolean handleAspectAnnotation(RuntimeAnnos runtimeAnnotations, AjAttributeStruct struct) { AnnotationGen aspect = getAnnotation(runtimeAnnotations, AjcMemberMaker.ASPECT_ANNOTATION); if (aspect != null) { // semantic check for inheritance (only one level up) boolean extendsAspect = false; if (!"java.lang.Object".equals(struct.enclosingType.getSuperclass().getName())) { if (!struct.enclosingType.getSuperclass().isAbstract() && struct.enclosingType.getSuperclass().isAspect()) { reportError("cannot extend a concrete aspect", struct); return false; } extendsAspect = struct.enclosingType.getSuperclass().isAspect(); } NameValuePair aspectPerClause = getAnnotationElement(aspect, VALUE); final PerClause perClause; if (aspectPerClause == null) { // empty value means singleton unless inherited if (!extendsAspect) { perClause = new PerSingleton(); } else { perClause = new PerFromSuper(struct.enclosingType.getSuperclass().getPerClause().getKind()); } } else { String perX = aspectPerClause.getValue().stringifyValue(); if (perX == null || perX.length() <= 0) { perClause = new PerSingleton(); } else { perClause = parsePerClausePointcut(perX, struct); } } if (perClause == null) { // could not parse it, ignore the aspect return false; } else { perClause.setLocation(struct.context, -1, -1);// struct.context.getOffset(), // struct.context.getOffset()+1);//FIXME // AVASM // Not setting version here // struct.ajAttributes.add(new AjAttribute.WeaverVersionInfo()); AjAttribute.Aspect aspectAttribute = new AjAttribute.Aspect(perClause); struct.ajAttributes.add(aspectAttribute); FormalBinding[] bindings = new org.aspectj.weaver.patterns.FormalBinding[0]; final IScope binding; binding = new BindingScope(struct.enclosingType, struct.context, bindings); // // we can't resolve here since the perclause typically refers // to pointcuts // // defined in the aspect that we haven't told the // BcelObjectType about yet. // // perClause.resolve(binding); // so we prepare to do it later... aspectAttribute.setResolutionScope(binding); return true; } } return false; }	long method	Long method, Inappropriate naming, Duplicate code	t	f	t	Inappropriate naming, Duplicate code		0	12140	https://github.com/eclipse/org.aspectj/blob/370f291c359cd159c5f3f0abd6e9e53e81234a07/weaver/src/main/java/org/aspectj/weaver/bcel/AtAjAttributes.java/#L526-L584	2	1836	12140
1063	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: void setStackMap(StackMapTable_attribute attr) { if (attr == null) { map = null; return; } Method m = classWriter.getMethod(); Descriptor d = m.descriptor; String[] args; try { ConstantPool cp = classWriter.getClassFile().constant_pool; String argString = d.getParameterTypes(cp); args = argString.substring(1, argString.length() - 1).split("[, ]+"); } catch (ConstantPoolException | InvalidDescriptor e) { return; } boolean isStatic = m.access_flags.is(AccessFlags.ACC_STATIC); verification_type_info[] initialLocals = new verification_type_info[(isStatic ? 0 : 1) + args.length]; if (!isStatic) initialLocals[0] = new CustomVerificationTypeInfo("this"); for (int i = 0; i < args.length; i++) { initialLocals[(isStatic ? 0 : 1) + i] = new CustomVerificationTypeInfo(args[i].replace(".", "/")); } map = new HashMap<>(); StackMapBuilder builder = new StackMapBuilder(); // using -1 as the pc for the initial frame effectively compensates for // the difference in behavior for the first stack map frame (where the // pc offset is just offset_delta) compared to subsequent frames (where // the pc offset is always offset_delta+1). int pc = -1; map.put(pc, new StackMap(initialLocals, empty)); for (int i = 0; i < attr.entries.length; i++) pc = attr.entries[i].accept(builder, pc); }	long method	Long method2 Feature envy	t	f	t			0	9551	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.jdeps/share/classes/com/sun/tools/javap/StackMapWriter.java/#L72-L111	2	1063	9551
1010	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void addDataAccessNodes(UaFolderNode rootNode) { // DataAccess folder UaFolderNode dataAccessFolder = new UaFolderNode( getNodeContext(), newNodeId("HelloWorld/DataAccess"), newQualifiedName("DataAccess"), LocalizedText.english("DataAccess") ); getNodeManager().addNode(dataAccessFolder); rootNode.addOrganizes(dataAccessFolder); // AnalogItemType node try { AnalogItemNode node = (AnalogItemNode) getNodeFactory().createNode( newNodeId("HelloWorld/DataAccess/AnalogValue"), Identifiers.AnalogItemType, true ); node.setBrowseName(newQualifiedName("AnalogValue")); node.setDisplayName(LocalizedText.english("AnalogValue")); node.setDataType(Identifiers.Double); node.setValue(new DataValue(new Variant(3.14d))); node.setEURange(new Range(0.0, 100.0)); getNodeManager().addNode(node); dataAccessFolder.addOrganizes(node); } catch (UaException e) { logger.error("Error creating AnalogItemType instance: {}", e.getMessage(), e); } }	long method	long method	t	t	t			0	9270	https://github.com/eclipse/milo/blob/e752e540d31eb3c226e6e79dd197c54d7d254685/milo-examples/server-examples/src/main/java/org/eclipse/milo/examples/server/ExampleNamespace.java/#L503-L535	1	1010	9270
970	YES I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void removeAndReconnect(MapReduceOper mr, MapReduceOper newMR) throws VisitorException { List mapperSuccs = getPlan().getSuccessors(mr); List mapperPreds = getPlan().getPredecessors(mr); // make a copy before removing operator ArrayList succsCopy = null; ArrayList predsCopy = null; if (mapperSuccs != null) { succsCopy = new ArrayList(mapperSuccs); } if (mapperPreds != null) { predsCopy = new ArrayList(mapperPreds); } getPlan().remove(mr); // reconnect the mapper's successors if (succsCopy != null) { for (MapReduceOper succ : succsCopy) { try { getPlan().connect(newMR, succ); } catch (PlanException e) { int errCode = 2133; String msg = "Internal Error. Unable to connect map plan with successors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } // reconnect the mapper's predecessors if (predsCopy != null) { for (MapReduceOper pred : predsCopy) { if (newMR.getOperatorKey().equals(pred.getOperatorKey())) { continue; } try { getPlan().connect(pred, newMR); } catch (PlanException e) { int errCode = 2134; String msg = "Internal Error. Unable to connect map plan with predecessors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } mergeMROperProperties(mr, newMR); }	long method	Long method2 Feature envy	t	f	t			0	8695	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/MultiQueryOptimizer.java/#L1096-L1141	2	970	8695
2633	{"message": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void writeFinalRule(Writer writer, boolean isDst, AnnualTimeZoneRule rule, int fromRawOffset, int fromDSTSavings, long startTime) throws IOException{ DateTimeRule dtrule = toWallTimeRule(rule.getRule(), fromRawOffset, fromDSTSavings); // If the rule's mills in a day is out of range, adjust start time. // Olson tzdata supports 24:00 of a day, but VTIMEZONE does not. // See ticket#7008/#7518 int timeInDay = dtrule.getRuleMillisInDay(); if (timeInDay < 0) { startTime = startTime + (0 - timeInDay); } else if (timeInDay >= Grego.MILLIS_PER_DAY) { startTime = startTime - (timeInDay - (Grego.MILLIS_PER_DAY - 1)); } int toOffset = rule.getRawOffset() + rule.getDSTSavings(); switch (dtrule.getDateRuleType()) { case DateTimeRule.DOM: writeZonePropsByDOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), startTime, MAX_TIME); break; case DateTimeRule.DOW: writeZonePropsByDOW(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleWeekInMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_GEQ_DOM: writeZonePropsByDOW_GEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_LEQ_DOM: writeZonePropsByDOW_LEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; } }	long method	1. long method	t	t	t			0	15109	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/external/icu/android_icu4j/src/main/java/android/icu/util/VTimeZone.java/#L1661-L1695	1	2633	15109
1580	{"result": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override ValueNode preprocess(int numTables, FromList outerFromList, SubqueryList outerSubqueryList, PredicateList outerPredicateList) throws StandardException { /* Only preprocess this node once. We may get called multiple times * due to tree transformations. */ if (preprocessed) { return this; } preprocessed = true; boolean flattenable; ValueNode topNode = this; final boolean haveOrderBy; // need to remember for flattening decision // Push the order by list down to the ResultSet if (orderByList != null) { haveOrderBy = true; // If we have more than 1 ORDERBY columns, we may be able to // remove duplicate columns, e.g., "ORDER BY 1, 1, 2". if (orderByList.size() > 1) { orderByList.removeDupColumns(); } resultSet.pushOrderByList(orderByList); orderByList = null; } else { haveOrderBy = false; } resultSet = resultSet.preprocess(numTables, null, (FromList) null); if (leftOperand != null) { leftOperand = leftOperand.preprocess(numTables, outerFromList, outerSubqueryList, outerPredicateList); } // Eliminate any unnecessary DISTINCTs if (resultSet instanceof SelectNode) { if (((SelectNode) resultSet).hasDistinct()) { ((SelectNode) resultSet).clearDistinct(); /* We need to remember to check for single unique value * at execution time for expression subqueries. */ if (subqueryType == EXPRESSION_SUBQUERY) { distinctExpression = true; } } } /* Lame transformation - For IN/ANY subqueries, if * result set is guaranteed to return at most 1 row * and it is not correlated * then convert the subquery into the matching expression * subquery type. For example: * c1 in (select min(c1) from t2) * becomes: * c1 = (select min(c1) from t2) * (This actually showed up in an app that a potential customer * was porting from SQL Server.) * The transformed query can then be flattened if appropriate. */ if ((isIN() || isANY()) && resultSet.returnsAtMostOneRow()) { if (! hasCorrelatedCRs()) { changeToCorrespondingExpressionType(); } } /* NOTE: Flattening occurs before the pushing of * the predicate, since the pushing will add a node * above the SubqueryNode. */ /* Values subquery is flattenable if: * o It is not under an OR. * o It is not a subquery in a having clause (DERBY-3257) * o It is an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ flattenable = (resultSet instanceof RowResultSetNode) && underTopAndNode && !havingSubquery && !haveOrderBy && offset == null && fetchFirst == null && !isWhereExistsAnyInWithWhereSubquery() && parentComparisonOperator != null; if (flattenable) { /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ leftOperand = parentComparisonOperator.getLeftOperand(); // Flatten the subquery RowResultSetNode rrsn = (RowResultSetNode) resultSet; FromList fl = new FromList(getContextManager()); // Remove ourselves from the outer subquery list outerSubqueryList.removeElement(this); /* We only need to add the table from the subquery into * the outer from list if the subquery itself contains * another subquery. Otherwise, it just becomes a constant. */ if (rrsn.subquerys.size() != 0) { fl.addElement(rrsn); outerFromList.destructiveAppend(fl); } /* Append the subquery's subquery list to the * outer subquery list. */ outerSubqueryList.destructiveAppend(rrsn.subquerys); /* return the new join condition * If we are flattening an EXISTS then there is no new join * condition since there is no leftOperand. Simply return * TRUE. * * NOTE: The outer where clause, etc. has already been normalized, * so we simply return the BinaryComparisonOperatorNode above * the new join condition. */ return getNewJoinCondition(leftOperand, getRightOperand()); } /* Select subquery is flattenable if: * o It is not under an OR. * o The subquery type is IN, ANY or EXISTS or * an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o There are no aggregates in the select list * o There is no group by clause or having clause. * o There is a uniqueness condition that ensures * that the flattening of the subquery will not * introduce duplicates into the result set. * o The subquery is not part of a having clause (DERBY-3257) * o There are no windows defined on it * * OR, * o The subquery is NOT EXISTS, NOT IN, ALL (beetle 5173). * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ boolean flattenableNotExists = (isNOT_EXISTS() || canAllBeFlattened()); flattenable = (resultSet instanceof SelectNode) && !((SelectNode)resultSet).hasWindows() && !haveOrderBy && offset == null && fetchFirst == null && underTopAndNode && !havingSubquery && !isWhereExistsAnyInWithWhereSubquery() && (isIN() || isANY() || isEXISTS() || flattenableNotExists || parentComparisonOperator != null); if (flattenable) { SelectNode select = (SelectNode) resultSet; if ((!select.hasAggregatesInSelectList()) && (select.havingClause == null)) { ValueNode origLeftOperand = leftOperand; /* Check for uniqueness condition. */ /* Is the column being returned by the subquery * a candidate for an = condition? */ boolean additionalEQ = (subqueryType == IN_SUBQUERY) || (subqueryType == EQ_ANY_SUBQUERY); additionalEQ = additionalEQ && ((leftOperand instanceof ConstantNode) || (leftOperand instanceof ColumnReference) || (leftOperand.requiresTypeFromContext())); /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ if (parentComparisonOperator != null) { leftOperand = parentComparisonOperator.getLeftOperand(); } /* Never flatten to normal join for NOT EXISTS. */ if ((! flattenableNotExists) && select.uniqueSubquery(additionalEQ)) { // Flatten the subquery return flattenToNormalJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList); } /* We can flatten into an EXISTS join if all of the above * conditions except for a uniqueness condition are true * and: * o Subquery only has a single entry in its from list * and that entry is a FromBaseTable * o All predicates in the subquery's where clause are * pushable. * o The leftOperand, if non-null, is pushable. * If the subquery meets these conditions then we will flatten * the FBT into an EXISTS FBT, pushd the subquery's * predicates down to the PRN above the EBT and * mark the predicates to say that they cannot be pulled * above the PRN. (The only way that we can guarantee correctness * is if the predicates do not get pulled up. If they get pulled * up then the single next logic for an EXISTS join does not work * because that row may get disqualified at a higher level.) * DERBY-4001: Extra conditions to allow flattening to a NOT * EXISTS join (in a NOT EXISTS join it does matter on which * side of the join predicates/restrictions are applied): * o All the predicates must reference the FBT, otherwise * predicates meant for the right side of the join may be * applied to the left side of the join. * o The right operand (in ALL and NOT IN) must reference the * FBT, otherwise the generated join condition may be used * to restrict the left side of the join. */ else if ( (isIN() || isANY() || isEXISTS() || flattenableNotExists) && ((leftOperand == null) ? true : leftOperand.categorize(new JBitSet(numTables), false)) && select.getWherePredicates().allPushable()) { FromBaseTable fbt = singleFromBaseTable(select.getFromList()); if (fbt != null && (!flattenableNotExists || (select.getWherePredicates().allReference(fbt) && rightOperandFlattenableToNotExists(numTables, fbt)))) { return flattenToExistsJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList, flattenableNotExists); } } // restore leftOperand to its original value leftOperand = origLeftOperand; } } resultSet.pushQueryExpressionSuffix(); resultSet.pushOffsetFetchFirst( offset, fetchFirst, hasJDBClimitClause ); /* We transform the leftOperand and the select list for quantified * predicates that have a leftOperand into a new predicate and push it * down to the subquery after we preprocess the subquery's resultSet. * We must do this after preprocessing the underlying subquery so that * we know where to attach the new predicate. * NOTE - If we pushed the predicate before preprocessing the underlying * subquery, then the point of attachment would depend on the form of * that subquery. (Where clause? Having clause?) */ if (leftOperand != null) { topNode = pushNewPredicate(numTables); pushedNewPredicate = true; } /* EXISTS and NOT EXISTS subqueries that haven't been flattened, need * an IS [NOT] NULL node on top so that they return a BOOLEAN. Other * cases are taken care of in pushNewPredicate. */ else if (isEXISTS() || isNOT_EXISTS()) { topNode = genIsNullTree(isEXISTS()); subqueryType = EXISTS_SUBQUERY; } /* ** Do inVariant and correlated checks now. We ** aren't going to use the results here, but they ** have been stashed away by isInvariant() and hasCorrelatedCRs() */ isInvariant(); hasCorrelatedCRs(); /* If parentComparisonOperator is non-null then we are an * expression subquery that was considered to be a candidate * for flattening, but we didn't get flattened. In that case * we are the rightOperand of the parent. We need to update * the parent's rightOperand with the new topNode and return * the parent because the parent is letting us decide whether * or not to replace the entire comparison, which we can do * if we flatten. Otherwise we simply return the new top node. */ if (parentComparisonOperator != null) { parentComparisonOperator.setRightOperand(topNode); return parentComparisonOperator; } return topNode; }	long method	long method, data class	t	t	t	data class		0	11359	https://github.com/apache/derby/blob/bd246fc89d4fce3f82f8344074ecb8a4713418df/java/org.apache.derby.engine/org/apache/derby/impl/sql/compile/SubqueryNode.java/#L606-L926	1	1580	11359
3968	{"response": "YES I found bad smells", "bad smells are": ["Long Method", "Blob"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public BindStatus(RequestContext requestContext, String path, boolean htmlEscape) throws IllegalStateException { this.requestContext = requestContext; this.path = path; this.htmlEscape = htmlEscape; // determine name of the object and property String beanName; int dotPos = path.indexOf('.'); if (dotPos == -1) { // property not set, only the object itself beanName = path; this.expression = null; } else { beanName = path.substring(0, dotPos); this.expression = path.substring(dotPos + 1); } this.errors = requestContext.getErrors(beanName, false); if (this.errors != null) { // Usual case: A BindingResult is available as request attribute. // Can determine error codes and messages for the given expression. // Can use a custom PropertyEditor, as registered by a form controller. if (this.expression != null) { if ("*".equals(this.expression)) { this.objectErrors = this.errors.getAllErrors(); } else if (this.expression.endsWith("*")) { this.objectErrors = this.errors.getFieldErrors(this.expression); } else { this.objectErrors = this.errors.getFieldErrors(this.expression); this.value = this.errors.getFieldValue(this.expression); this.valueType = this.errors.getFieldType(this.expression); if (this.errors instanceof BindingResult) { this.bindingResult = (BindingResult) this.errors; this.actualValue = this.bindingResult.getRawFieldValue(this.expression); this.editor = this.bindingResult.findEditor(this.expression, null); } else { this.actualValue = this.value; } } } else { this.objectErrors = this.errors.getGlobalErrors(); } this.errorCodes = initErrorCodes(this.objectErrors); } else { // No BindingResult available as request attribute: // Probably forwarded directly to a form view. // Let's do the best we can: extract a plain target if appropriate. Object target = requestContext.getModelObject(beanName); if (target == null) { throw new IllegalStateException("Neither BindingResult nor plain target object for bean name '" + beanName + "' available as request attribute"); } if (this.expression != null && !"*".equals(this.expression) && !this.expression.endsWith("*")) { BeanWrapper bw = PropertyAccessorFactory.forBeanPropertyAccess(target); this.value = bw.getPropertyValue(this.expression); this.valueType = bw.getPropertyType(this.expression); this.actualValue = this.value; } this.errorCodes = new String[0]; this.errorMessages = new String[0]; } if (htmlEscape && this.value instanceof String) { this.value = HtmlUtils.htmlEscape((String) this.value); } }	long method	long method, blob	t	t	t	blob		0	10409	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-webmvc/src/main/java/org/springframework/web/servlet/support/BindStatus.java/#L96-L169	1	3968	10409
1737	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected VectorizedRowBatch setupOverflowBatch() throws HiveException { int initialColumnCount = vContext.firstOutputColumnIndex(); VectorizedRowBatch overflowBatch; int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; overflowBatch = new VectorizedRowBatch(totalNumColumns); // First, just allocate just the output columns we will be using. for (int i = 0; i < outputProjectionColumnMap.length; i++) { int outputColumn = outputProjectionColumnMap[i]; String typeName = outputTypeInfos[i].getTypeName(); allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); } // Now, add any scratch columns needed for children operators. int outputColumn = initialColumnCount; for (String typeName : vOutContext.getScratchColumnTypeNames()) { allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); } overflowBatch.projectedColumns = outputProjectionColumnMap; overflowBatch.projectionSize = outputProjectionColumnMap.length; overflowBatch.reset(); return overflowBatch; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11831	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java/#L241-L268	2	1737	11831
2397	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List getOrderedLogFileIds() { File fileLogDir = new File(logDir); String[] logFileNames = null; List logFileIds = null; if (!fileLogDir.exists()) { LOGGER.log(Level.INFO, "log dir " + logDir + " doesn't exist. returning empty list"); return Collections.emptyList(); } if (!fileLogDir.isDirectory()) { throw new IllegalStateException("log dir " + logDir + " exists but it is not a directory"); } logFileNames = fileLogDir.list((dir, name) -> name.startsWith(logFilePrefix)); if (logFileNames == null) { throw new IllegalStateException("listing of log dir (" + logDir + ") files returned null. " + "Either an IO error occurred or the dir was just deleted by another process/thread"); } if (logFileNames.length == 0) { LOGGER.log(Level.INFO, "the log dir (" + logDir + ") is empty. returning empty list"); return Collections.emptyList(); } logFileIds = new ArrayList<>(); for (String fileName : logFileNames) { logFileIds.add(Long.parseLong(fileName.substring(logFilePrefix.length() + 1))); } logFileIds.sort(Long::compareTo); return logFileIds; }	long method	long method	t	t	t			0	14375	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-transactions/src/main/java/org/apache/asterix/transaction/management/service/logging/LogManager.java/#L440-L466	1	2397	14375
1042	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void execute() throws ResourceUnavailableException, InsufficientCapacityException, ServerApiException, ConcurrentOperationException, ResourceAllocationException, NetworkRuleConflictException { Map dm = new HashMap(); dm.put(ApiConstants.S3_ACCESS_KEY, getAccessKey()); dm.put(ApiConstants.S3_SECRET_KEY, getSecretKey()); dm.put(ApiConstants.S3_END_POINT, getEndPoint()); dm.put(ApiConstants.S3_BUCKET_NAME, getBucketName()); if (getSigner() != null && (getSigner().equals(ApiConstants.S3_V3_SIGNER) || getSigner().equals(ApiConstants.S3_V4_SIGNER))) { dm.put(ApiConstants.S3_SIGNER, getSigner()); } if (isHttps() != null) { dm.put(ApiConstants.S3_HTTPS_FLAG, isHttps().toString()); } if (getConnectionTimeout() != null) { dm.put(ApiConstants.S3_CONNECTION_TIMEOUT, getConnectionTimeout().toString()); } if (getMaxErrorRetry() != null) { dm.put(ApiConstants.S3_MAX_ERROR_RETRY, getMaxErrorRetry().toString()); } if (getSocketTimeout() != null) { dm.put(ApiConstants.S3_SOCKET_TIMEOUT, getSocketTimeout().toString()); } if (getConnectionTtl() != null) { dm.put(ApiConstants.S3_CONNECTION_TTL, getConnectionTtl().toString()); } if (getUseTCPKeepAlive() != null) { dm.put(ApiConstants.S3_USE_TCP_KEEPALIVE, getUseTCPKeepAlive().toString()); } try{ ImageStore result = _storageService.discoverImageStore(null, null, "S3", null, dm); ImageStoreResponse storeResponse; if (result != null) { storeResponse = _responseGenerator.createImageStoreResponse(result); storeResponse.setResponseName(getCommandName()); storeResponse.setObjectName("imagestore"); setResponseObject(storeResponse); } else { throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, "Failed to add S3 Image Store."); } } catch (DiscoveryException ex) { s_logger.warn("Exception: ", ex); throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, ex.getMessage()); } }	long method	long method	t	t	t			0	9438	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/api/src/main/java/org/apache/cloudstack/api/command/admin/storage/AddImageStoreS3CMD.java/#L99-L147	1	1042	9438
4573	{ "message": "YES, I found bad smells", "bad_smells": [ "Feature Envy", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	feature envy, long method	t	t	t	feature envy		0	12153	https://github.com/eclipse/milo/blob/e752e540d31eb3c226e6e79dd197c54d7d254685/opc-ua-sdk/sdk-server/src/main/java/org/eclipse/milo/opcua/sdk/server/namespaces/loader/UaVariableLoader.java/#L1265-L1278	1	4573	12153
4111	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy 4. Data class (lack of encapsulation) 5. Spaghetti code (multiple levels of nesting)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean readFont(FontFileReader in, String header, String name) throws IOException { initializeFont(in); /* * Check if TrueType collection, and that the name * exists in the collection */ if (!checkTTC(header, name)) { if (name == null) { throw new IllegalArgumentException( "For TrueType collection you must specify which font " + "to select (-ttcname)"); } else { throw new IOException( "Name does not exist in the TrueType collection: " + name); } } readDirTabs(); readFontHeader(); getNumGlyphs(); if (log.isDebugEnabled()) { log.debug("Number of glyphs in font: " + numberOfGlyphs); } readHorizontalHeader(); readHorizontalMetrics(); initAnsiWidths(); readPostScript(); readOS2(); determineAscDesc(); readName(); boolean pcltFound = readPCLT(); // Read cmap table and fill in ansiwidths boolean valid = readCMAP(); if (!valid) { return false; } // Create cmaps for bfentries createCMaps(); updateBBoxAndOffset(); if (useKerning) { readKerning(); } handleCharacterSpacing(in); guessVerticalMetricsFromGlyphBBox(); return true; }	long method	Long method2 Duplicate code3 Feature envy4 Data class (lack of encapsulation)5 Spaghetti code (multiple levels of nesting)	t	f	t			0	10827	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fonts/truetype/OpenFont.java/#L813-L862	2	4111	10827
2678	YES, I found bad smells. the bad smells are: 1. Long method 2. Commented out code 3. Useless if statement 4. Duplicated code 5. Inconsistent naming convention (camelCase and lowercase) 6. Magic number (0 in the if statement) 7. Feature envy (mailToAddresses and mailHost variables are called multiple times) 8. Mixing of responsibilities (sending email and error handling in the same method)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	Long method2 Commented out code3 Useless if statement4 Duplicated code5 Inconsistent naming convention (camelCase and lowercase)6 Magic number (0 in the if statement)7 Feature envy (mailToAddresses and mailHost variables are called multiple times)8 Mixing of responsibilities (sending email and error handling in the same method)	t	f	t			0	15253	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	2	2678	15253
3334	YES I found bad smells,the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Nullable public static PropertyEditor findEditorByConvention(@Nullable Class targetType) { if (targetType == null || targetType.isArray() || unknownEditorTypes.contains(targetType)) { return null; } ClassLoader cl = targetType.getClassLoader(); if (cl == null) { try { cl = ClassLoader.getSystemClassLoader(); if (cl == null) { return null; } } catch (Throwable ex) { // e.g. AccessControlException on Google App Engine if (logger.isDebugEnabled()) { logger.debug("Could not access system ClassLoader: " + ex); } return null; } } String editorName = targetType.getName() + "Editor"; try { Class editorClass = cl.loadClass(editorName); if (!PropertyEditor.class.isAssignableFrom(editorClass)) { if (logger.isInfoEnabled()) { logger.info("Editor class [" + editorName + "] does not implement [java.beans.PropertyEditor] interface"); } unknownEditorTypes.add(targetType); return null; } return (PropertyEditor) instantiateClass(editorClass); } catch (ClassNotFoundException ex) { if (logger.isTraceEnabled()) { logger.trace("No property editor [" + editorName + "] found for type " + targetType.getName() + " according to 'Editor' suffix convention"); } unknownEditorTypes.add(targetType); return null; } }	long method	Long method2 Feature envy	t	f	t			0	6247	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-beans/src/main/java/org/springframework/beans/BeanUtils.java/#L504-L546	2	3334	6247
1050	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public PigServer(PigContext context, boolean connect) throws ExecException { this.pigContext = context; currDAG = new Graph(false); jobName = pigContext.getProperties().getProperty( PigContext.JOB_NAME, PigContext.JOB_NAME_PREFIX + ":DefaultJobName"); if (connect) { pigContext.connect(); } this.filter = new BlackAndWhitelistFilter(this); addHadoopProperties(); addJarsFromProperties(); markPredeployedJarsFromProperties(); if (ScriptState.get() == null) { // If Pig was started via command line, ScriptState should have been // already initialized in Main. If so, we should not overwrite it. ScriptState.start(pigContext.getExecutionEngine().instantiateScriptState()); } PigStats.start(pigContext.getExecutionEngine().instantiatePigStats()); // log ATS event includes the caller context String auditId = PigATSClient.getPigAuditId(pigContext); String callerId = (String)pigContext.getProperties().get(PigConfiguration.PIG_LOG_TRACE_ID); log.info("Pig Script ID for the session: " + auditId); if (callerId != null) { log.info("Caller ID for session: " + callerId); } if (Boolean.parseBoolean(pigContext.getProperties() .getProperty(PigConfiguration.PIG_ATS_ENABLED))) { if (Boolean.parseBoolean(pigContext.getProperties() .getProperty("yarn.timeline-service.enabled", "false"))) { PigATSClient.ATSEvent event = new PigATSClient.ATSEvent(auditId, callerId); try { PigATSClient.getInstance().logEvent(event); } catch (Exception e) { log.warn("Error posting to ATS: ", e); } } else { log.warn("ATS is disabled since" + " yarn.timeline-service.enabled set to false"); } } // set hdfs caller context Class callerContextClass = null; try { callerContextClass = Class.forName("org.apache.hadoop.ipc.CallerContext"); } catch (ClassNotFoundException e) { // If pre-Hadoop 2.8.0, skip setting CallerContext } if (callerContextClass != null) { try { // Reflection for the following code since it is only available since hadoop 2.8.0: // CallerContext hdfsContext = new CallerContext.Builder(auditId).build(); // CallerContext.setCurrent(hdfsContext); Class callerContextBuilderClass = Class.forName("org.apache.hadoop.ipc.CallerContext$Builder"); Constructor callerContextBuilderConstruct = callerContextBuilderClass.getConstructor(String.class); Object builder = callerContextBuilderConstruct.newInstance(auditId); Method builderBuildMethod = builder.getClass().getMethod("build"); Object hdfsContext = builderBuildMethod.invoke(builder); Method callerContextSetCurrentMethod = callerContextClass.getMethod("setCurrent", hdfsContext.getClass()); callerContextSetCurrentMethod.invoke(callerContextClass, hdfsContext); } catch (Exception e) { // Shall not happen unless API change in future Hadoop commons throw new ExecException(e); } } }	long method	long method	t	t	t			0	9476	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/PigServer.java/#L223-L296	1	1050	9476
2387	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean fetchNext() throws IgniteCheckedException { if (data == null) return false; try { if (!data.next()) { close(); return false; } if (res != null) { Value[] values = res.currentRow(); for (int c = 0; c < row.length; c++) { Value val = values[c]; if (val instanceof GridH2ValueCacheObject) { GridH2ValueCacheObject valCacheObj = (GridH2ValueCacheObject)values[c]; row[c] = valCacheObj.getObject(true); } else row[c] = val.getObject(); } } else { for (int c = 0; c < row.length; c++) row[c] = data.getObject(c + 1); } return true; } catch (SQLException e) { throw new IgniteSQLException(e); } }	long method	Long method2 Feature envy	t	f	t			0	14351	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/H2ResultSetIterator.java/#L101-L137	2	2387	14351
2015	{ "response": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List getOrderedLogFileIds() { File fileLogDir = new File(logDir); String[] logFileNames = null; List logFileIds = null; if (!fileLogDir.exists()) { LOGGER.log(Level.INFO, "log dir " + logDir + " doesn't exist. returning empty list"); return Collections.emptyList(); } if (!fileLogDir.isDirectory()) { throw new IllegalStateException("log dir " + logDir + " exists but it is not a directory"); } logFileNames = fileLogDir.list((dir, name) -> name.startsWith(logFilePrefix)); if (logFileNames == null) { throw new IllegalStateException("listing of log dir (" + logDir + ") files returned null. " + "Either an IO error occurred or the dir was just deleted by another process/thread"); } if (logFileNames.length == 0) { LOGGER.log(Level.INFO, "the log dir (" + logDir + ") is empty. returning empty list"); return Collections.emptyList(); } logFileIds = new ArrayList<>(); for (String fileName : logFileNames) { logFileIds.add(Long.parseLong(fileName.substring(logFilePrefix.length() + 1))); } logFileIds.sort(Long::compareTo); return logFileIds; }	long method	1: long method	t	t	f		long method	0	12768	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-transactions/src/main/java/org/apache/asterix/transaction/management/service/logging/LogManager.java/#L440-L466	1	2015	12768
2499	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	long method, data class	t	t	t	data class		0	14652	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	1	2499	14652
960	YES I found bad smells - Long method, Feature envy: the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Explanation explain(LeafReaderContext context, int doc) throws IOException { Scorer scorer = scorer(context); if (scorer != null) { int newDoc = scorer.iterator().advance(doc); if (newDoc == doc) { final float freq; if (scorer instanceof BM25FScorer) { freq = ((BM25FScorer) scorer).freq(); } else { assert scorer instanceof TermScorer; freq = ((TermScorer) scorer).freq(); } final MultiNormsLeafSimScorer docScorer = new MultiNormsLeafSimScorer(simWeight, context.reader(), fieldAndWeights.values(), true); Explanation freqExplanation = Explanation.match(freq, "termFreq=" + freq); Explanation scoreExplanation = docScorer.explain(doc, freqExplanation); return Explanation.match( scoreExplanation.getValue(), "weight(" + getQuery() + " in " + doc + ") [" + similarity.getClass().getSimpleName() + "], result of:", scoreExplanation); } } return Explanation.noMatch("no matching term"); }	long method	Long method 2 Feature envy	t	f	t			0	8567	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/sandbox/src/java/org/apache/lucene/search/BM25FQuery.java/#L308-L333	2	960	8567
1880	{ "message": "YES I found bad smells", "bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void removeAndReconnect(MapReduceOper mr, MapReduceOper newMR) throws VisitorException { List mapperSuccs = getPlan().getSuccessors(mr); List mapperPreds = getPlan().getPredecessors(mr); // make a copy before removing operator ArrayList succsCopy = null; ArrayList predsCopy = null; if (mapperSuccs != null) { succsCopy = new ArrayList(mapperSuccs); } if (mapperPreds != null) { predsCopy = new ArrayList(mapperPreds); } getPlan().remove(mr); // reconnect the mapper's successors if (succsCopy != null) { for (MapReduceOper succ : succsCopy) { try { getPlan().connect(newMR, succ); } catch (PlanException e) { int errCode = 2133; String msg = "Internal Error. Unable to connect map plan with successors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } // reconnect the mapper's predecessors if (predsCopy != null) { for (MapReduceOper pred : predsCopy) { if (newMR.getOperatorKey().equals(pred.getOperatorKey())) { continue; } try { getPlan().connect(pred, newMR); } catch (PlanException e) { int errCode = 2134; String msg = "Internal Error. Unable to connect map plan with predecessors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } mergeMROperProperties(mr, newMR); }	long method	long method, feature envy	t	t	t	feature envy		0	12284	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/MultiQueryOptimizer.java/#L1096-L1141	1	1880	12284
5490	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long method", "2. Feature envy"] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	1. long method, 2. feature envy	t	t	f	2. feature envy	long method	0	1877	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	2	5490	1877
782	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void set(Object obj, Object value) throws IllegalArgumentException, IllegalAccessException { ensureObj(obj); if (isFinal) { throwFinalFieldIllegalAccessException(value); } if (value == null) { throwSetIllegalArgumentException(value); } if (value instanceof Byte) { unsafe.putInt(obj, fieldOffset, ((Byte) value).byteValue()); return; } if (value instanceof Short) { unsafe.putInt(obj, fieldOffset, ((Short) value).shortValue()); return; } if (value instanceof Character) { unsafe.putInt(obj, fieldOffset, ((Character) value).charValue()); return; } if (value instanceof Integer) { unsafe.putInt(obj, fieldOffset, ((Integer) value).intValue()); return; } throwSetIllegalArgumentException(value); }	long method	Long method2 Feature envy	t	f	t			0	7477	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.base/share/classes/jdk/internal/reflect/UnsafeIntegerFieldAccessorImpl.java/#L72-L99	2	782	7477
2670	public class CodeChecker { YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: /* update subject DN */ subjectDN = cert.getSubjectX500Principal(); /* check for key needing to inherit alg parameters */ X509CertImpl icert = X509CertImpl.toImpl(cert); PublicKey newKey = cert.getPublicKey(); if (PKIX.isDSAPublicKeyWithoutParams(newKey)) { newKey = BasicChecker.makeInheritedParamsKey(newKey, pubKey); } /* update subject public key */ pubKey = newKey; /* * if this is a trusted cert (init == true), then we * don't update any of the remaining fields */ if (init) { init = false; return; } /* update subject key identifier */ subjKeyId = icert.getSubjectKeyIdentifierExtension(); /* update crlSign */ crlSign = RevocationChecker.certCanSignCrl(cert); /* update current name constraints */ if (nc != null) { nc.merge(icert.getNameConstraintsExtension()); } else { nc = icert.getNameConstraintsExtension(); if (nc != null) { // Make sure we do a clone here, because we're probably // going to modify this object later and we don't want to // be sharing it with a Certificate object! nc = (NameConstraintsExtension) nc.clone(); } } /* update policy state variables */ explicitPolicy = PolicyChecker.mergeExplicitPolicy(explicitPolicy, icert, false); policyMapping = PolicyChecker.mergePolicyMapping(policyMapping, icert); inhibitAnyPolicy = PolicyChecker.mergeInhibitAnyPolicy(inhibitAnyPolicy, icert); certIndex++; /* * Update remaining CA certs */ remainingCACerts = ConstraintsChecker.mergeBasicConstraints(cert, remainingCACerts); init = false; } /** * Returns a boolean flag indicating if a key lacking necessary key * algorithm parameters has been encountered. * * @return boolean flag indicating if key lacking parameters encountered. */	long method	Long method2 Feature envy	t	f	t			0	15211	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/provider/certpath/ReverseState.java/#L284-L348	2	2670	15211
701	in the Airavata Registry * * * * @param authenticationToken The token which is generated by Airavata API server * * @param gatewayId The gateway for which the new experiment should be associated with * * @param experiment Experiment Model * * @return The server-side generated experiment-model identifier * * @throws RegistryServiceException * */YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy, 3. Magic numbers, 4. Useless comments, 5. Code duplication, 6. Exception swallowing	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	Long method, 2 Feature envy, 3 Magic numbers, 4 Useless comments, 5 Code duplication, 6 Exception swallowing	t	f	t	2. Feature envy, 3. Magic numbers, 4. Useless comments, 5. Code duplication, 6. Exception swallowing		0	6688	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	2	701	6688
506	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void setModalFieldsTooltips() { // set Tooltips this.tooltipInput.setTitle(MSGS.firewallPortForwardFormInboundInterfaceToolTip()); this.tooltipOutput.setTitle(MSGS.firewallPortForwardFormOutboundInterfaceToolTip()); this.tooltipLan.setTitle(MSGS.firewallPortForwardFormLanAddressToolTip()); this.tooltipProtocol.setTitle(MSGS.firewallPortForwardFormProtocolToolTip()); this.tooltipInternal.setTitle(MSGS.firewallPortForwardFormInternalPortToolTip()); this.tooltipExternal.setTitle(MSGS.firewallPortForwardFormExternalPortToolTip()); this.tooltipEnable.setTitle(MSGS.firewallPortForwardFormMasqueradingToolTip()); this.tooltipPermittedNw.setTitle(MSGS.firewallPortForwardFormPermittedNetworkToolTip()); this.tooltipPermittedMac.setTitle(MSGS.firewallPortForwardFormPermittedMacAddressToolTip()); this.tooltipSource.setTitle(MSGS.firewallPortForwardFormSourcePortRangeToolTip()); this.tooltipInput.reconfigure(); this.tooltipOutput.reconfigure(); this.tooltipLan.reconfigure(); this.tooltipProtocol.reconfigure(); this.tooltipExternal.reconfigure(); this.tooltipInternal.reconfigure(); this.tooltipEnable.reconfigure(); this.tooltipPermittedNw.reconfigure(); this.tooltipPermittedMac.reconfigure(); this.tooltipSource.reconfigure(); }	long method	Long method2 Feature envy	t	f	t			0	5141	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.web2/src/main/java/org/eclipse/kura/web/client/ui/firewall/PortForwardingTabUi.java/#L796-L818	2	506	5141
1934	YES I found bad smells the bad smells are: 1.Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final Element getDocumentElement() { int dochandle=dtm.getDocument(); int elementhandle=DTM.NULL; for(int kidhandle=dtm.getFirstChild(dochandle); kidhandle!=DTM.NULL; kidhandle=dtm.getNextSibling(kidhandle)) { switch(dtm.getNodeType(kidhandle)) { case Node.ELEMENT_NODE: if(elementhandle!=DTM.NULL) { elementhandle=DTM.NULL; // More than one; ill-formed. kidhandle=dtm.getLastChild(dochandle); // End loop } else elementhandle=kidhandle; break; // These are harmless; document is still wellformed case Node.COMMENT_NODE: case Node.PROCESSING_INSTRUCTION_NODE: case Node.DOCUMENT_TYPE_NODE: break; default: elementhandle=DTM.NULL; // ill-formed kidhandle=dtm.getLastChild(dochandle); // End loop break; } } if(elementhandle==DTM.NULL) throw new DTMDOMException(DOMException.NOT_SUPPORTED_ERR); else return (Element)(dtm.getNode(elementhandle)); }	long method	Long method	t	f	t			0	12462	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xml/internal/dtm/ref/DTMNodeProxy.java/#L619-L656	2	1934	12462
973	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: boolean increaseConnectionWindow(int amount) { List> candidates = null; controllerLock.lock(); try { int size = connectionWindowSize; size += amount; if (size < 0) return false; connectionWindowSize = size; if (debug.on()) debug.log("Connection window size is now %d (amount added %d)", size, amount); // Notify waiting streams, until the new increased window size is // effectively exhausted. Iterator,Integer>>> iter = pending.entrySet().iterator(); while (iter.hasNext() && size > 0) { Map.Entry,Integer>> item = iter.next(); Integer streamSize = streams.get(item.getKey()); if (streamSize == null) { iter.remove(); } else { Map.Entry,Integer> e = item.getValue(); int requestedAmount = e.getValue(); // only wakes up the pending streams for which there is // at least 1 byte of space in both windows int minAmount = 1; if (size >= minAmount && streamSize >= minAmount) { size -= Math.min(streamSize, requestedAmount); iter.remove(); if (candidates == null) candidates = new ArrayList<>(); candidates.add(e.getKey()); } } } } finally { controllerLock.unlock(); } if (candidates != null) { candidates.forEach(Stream::signalWindowUpdate); } return true; }	long method	Long method2 Feature envy	t	f	t			0	8773	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.net.http/share/classes/jdk/internal/net/http/WindowController.java/#L181-L226	2	973	8773
1882	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); // define symbols mPointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.Style.SQUARE, 0xFFFF0000, 20); mLineSymbol = new SimpleLineSymbol(SimpleLineSymbol.Style.SOLID, 0xFFFF8800, 4); mFillSymbol = new SimpleFillSymbol(SimpleFillSymbol.Style.CROSS, 0x40FFA9A9, mLineSymbol); // inflate map view from layout mMapView = findViewById(R.id.mapView); // create a map with the Basemap Type topographic ArcGISMap map = new ArcGISMap(Basemap.Type.LIGHT_GRAY_CANVAS, 34.056295, -117.195800, 16); // set the map to be displayed in this view mMapView.setMap(map); mGraphicsOverlay = new GraphicsOverlay(); mMapView.getGraphicsOverlays().add(mGraphicsOverlay); // create a new sketch editor and add it to the map view mSketchEditor = new SketchEditor(); mMapView.setSketchEditor(mSketchEditor); // get buttons from layouts mPointButton = findViewById(R.id.pointButton); mMultiPointButton = findViewById(R.id.pointsButton); mPolylineButton = findViewById(R.id.polylineButton); mPolygonButton = findViewById(R.id.polygonButton); mFreehandLineButton = findViewById(R.id.freehandLineButton); mFreehandPolygonButton = findViewById(R.id.freehandPolygonButton); // add click listeners mPointButton.setOnClickListener(view -> createModePoint()); mMultiPointButton.setOnClickListener(view -> createModeMultipoint()); mPolylineButton.setOnClickListener(view -> createModePolyline()); mPolygonButton.setOnClickListener(view -> createModePolygon()); mFreehandLineButton.setOnClickListener(view -> createModeFreehandLine()); mFreehandPolygonButton.setOnClickListener(view -> createModeFreehandPolygon()); }	long method	long method	t	t	t			0	12288	https://github.com/Esri/arcgis-runtime-samples-android/blob/22b9a4c99c82a75a128b64703c0c1ffb2f9f5293/java/sketch-editor/src/main/java/com/esri/arcgisruntime/sample/sketcheditor/MainActivity.java/#L44-L83	1	1882	12288
407	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static byte[] decodeUrl( byte[] bytes ) throws UrlDecoderException { if ( bytes == null ) { return Strings.EMPTY_BYTES; } ByteArrayOutputStream buffer = new ByteArrayOutputStream(); for ( int i = 0; i < bytes.length; i++ ) { int b = bytes[i]; if ( b == '%' ) { try { int u = Character.digit( ( char ) bytes[++i], 16 ); int l = Character.digit( ( char ) bytes[++i], 16 ); if ( ( u == -1 ) || ( l == -1 ) ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ) ); } buffer.write( ( char ) ( ( u << 4 ) + l ) ); } catch ( ArrayIndexOutOfBoundsException aioobe ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ), aioobe ); } } else { buffer.write( b ); } } return buffer.toByteArray(); }	long method	1. long method	t	t	f		long method	0	4155	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/url/LdapUrl.java/#L1067-L1106	1	407	4155
3905	the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static public Object postUpdate(String itemName, String stateString) { ItemRegistry registry = ScriptServiceUtil.getItemRegistry(); EventPublisher publisher = ScriptServiceUtil.getEventPublisher(); if (publisher != null && registry != null) { try { Item item = registry.getItem(itemName); State state = TypeParser.parseState(item.getAcceptedDataTypes(), stateString); if (state != null) { publisher.post(ItemEventFactory.createStateEvent(itemName, state)); } else { LoggerFactory.getLogger(BusEvent.class).warn( "Cannot convert '{}' to a state type which item '{}' accepts: {}.", stateString, itemName, getAcceptedDataTypeNames(item)); } } catch (ItemNotFoundException e) { LoggerFactory.getLogger(BusEvent.class).warn("Item '{}' does not exist.", itemName); } } return null; }	long method	Long method, 2 Feature envy	f	f	t	2. Feature envy		0	10223	https://github.com/eclipse/smarthome/blob/b8455de15d65512e8fac4e94d42de6ab2fccf1c5/bundles/model/org.eclipse.smarthome.model.script/src/org/eclipse/smarthome/model/script/actions/BusEvent.java/#L153-L172	2	3905	10223
2197	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void decide(Authentication authentication, Object object, Collection configAttributes) throws AccessDeniedException { int deny = 0; for (AccessDecisionVoter voter : getDecisionVoters()) { int result = voter.vote(authentication, object, configAttributes); if (logger.isDebugEnabled()) { logger.debug("Voter: " + voter + ", returned: " + result); } switch (result) { case AccessDecisionVoter.ACCESS_GRANTED: return; case AccessDecisionVoter.ACCESS_DENIED: deny++; break; default: break; } } if (deny > 0) { throw new AccessDeniedException(messages.getMessage( "AbstractAccessDecisionManager.accessDenied", "Access is denied")); } // To get this far, every AccessDecisionVoter abstained checkAllowIfAllAbstainDecisions(); }	long method	Long method2 Feature envy	t	f	t			0	13483	https://github.com/spring-projects/spring-security/blob/8dd2864dea3de5ea98637a1629debc89c29e76c0/core/src/main/java/org/springframework/security/access/vote/AffirmativeBased.java/#L58-L90	2	2197	13483
1030	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ApplicationDTO buildApplicationDTO( ApplicationRuntimeInformation ari) { ApplicationDTO applicationDTO = new ApplicationDTO(){}; applicationDTO.name = getServiceName( ari._cachingServiceReference::getProperty); applicationDTO.base = _whiteboard.getApplicationBase( ari._cachingServiceReference::getProperty); applicationDTO.serviceId = (Long)ari._cachingServiceReference.getProperty("service.id"); applicationDTO.resourceDTOs = getApplicationEndpointsStream( applicationDTO.name).toArray( ResourceDTO[]::new ); applicationDTO.extensionDTOs = getApplicationExtensionsStream( applicationDTO.name).toArray( ExtensionDTO[]::new ); Map> nameBoundExtensions = new HashMap<>(); Map> extensionResources = new HashMap<>(); for (ExtensionDTO extensionDTO : applicationDTO.extensionDTOs) { if (extensionDTO.nameBindings == null) { continue; } for (String nameBinding : extensionDTO.nameBindings) { Set extensionDTOS = nameBoundExtensions.computeIfAbsent( nameBinding, __ -> new HashSet<>() ); extensionDTOS.add(extensionDTO); } } for (ResourceDTO resourceDTO : applicationDTO.resourceDTOs) { for (ResourceMethodInfoDTO resourceMethodInfo : resourceDTO.resourceMethods) { if (resourceMethodInfo.nameBindings == null) { continue; } for (String nameBinding : resourceMethodInfo.nameBindings) { Set extensionDTOS = nameBoundExtensions.get( nameBinding); if (extensionDTOS != null) { for (ExtensionDTO extensionDTO : extensionDTOS) { Set resourceDTOS = extensionResources.computeIfAbsent( extensionDTO, __ -> new HashSet<>()); resourceDTOS.add(resourceDTO); } } } } } extensionResources.forEach( (extensionDTO, resourceDTOS) -> extensionDTO.filteredByName = resourceDTOS.toArray( new ResourceDTO[0]) ); CxfJaxrsServiceRegistrator cxfJaxRsServiceRegistrator = ari._cxfJaxRsServiceRegistrator; Bus bus = cxfJaxRsServiceRegistrator.getBus(); Iterable> resourceClasses = cxfJaxRsServiceRegistrator.getStaticResourceClasses(); ArrayList resourceMethodInfoDTOS = new ArrayList<>(); for (Class resourceClass : resourceClasses) { resourceMethodInfoDTOS.addAll( ClassIntrospector.getResourceMethodInfos(resourceClass, bus)); } applicationDTO.resourceMethods = resourceMethodInfoDTOS.toArray( new ResourceMethodInfoDTO[0]); return applicationDTO; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	9383	https://github.com/apache/aries-jax-rs-whiteboard/blob/73ef94bb74159e97bbe834c3e17a7eb3c34b7bf6/jax-rs.whiteboard/src/main/java/org/apache/aries/jax/rs/whiteboard/internal/AriesJaxrsServiceRuntime.java/#L943-L1037	2	1030	9383
1279	The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	Long method2 Feature envy	f	f	t			0	10593	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	2	1279	10593
2463	COMMENT Sheyi, this is not Java code. But I've still included my feedback below. YES, I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Object invoke(String methodName, Object returnValueIfNonExistent, Class[] paramTypes, Object[] params) throws DocletInvokeException { Method meth; try { meth = docletClass.getMethod(methodName, paramTypes); } catch (NoSuchMethodException exc) { if (returnValueIfNonExistent == null) { messager.error(Messager.NOPOS, "main.doclet_method_not_found", docletClassName, methodName); throw new DocletInvokeException(); } else { return returnValueIfNonExistent; } } catch (SecurityException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } if (!Modifier.isStatic(meth.getModifiers())) { messager.error(Messager.NOPOS, "main.doclet_method_must_be_static", docletClassName, methodName); throw new DocletInvokeException(); } ClassLoader savedCCL = Thread.currentThread().getContextClassLoader(); try { if (appClassLoader != null) // will be null if doclet class provided via API Thread.currentThread().setContextClassLoader(appClassLoader); return meth.invoke(null , params); } catch (IllegalArgumentException | NullPointerException exc) { messager.error(Messager.NOPOS, "main.internal_error_exception_thrown", docletClassName, methodName, exc.toString()); throw new DocletInvokeException(); } catch (IllegalAccessException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } catch (InvocationTargetException exc) { Throwable err = exc.getTargetException(); if (apiMode) throw new ClientCodeException(err); if (err instanceof java.lang.OutOfMemoryError) { messager.error(Messager.NOPOS, "main.out.of.memory"); } else { messager.error(Messager.NOPOS, "main.exception_thrown", docletClassName, methodName, exc.toString()); exc.getTargetException().printStackTrace(System.err); } throw new DocletInvokeException(); } finally { Thread.currentThread().setContextClassLoader(savedCCL); } }	long method	Long method2 Feature envy	t	f	t			0	14551	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.javadoc/share/classes/com/sun/tools/javadoc/main/DocletInvoker.java/#L303-L357	2	2463	14551
383	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected boolean downloadLog(HttpServletRequest request, HttpServletResponse response, ILogService logService, String appenderName) throws ServletException { FileAppender appender = logService .getFileAppender(appenderName); if (appender == null) { String msg = NLS.bind("Appender not found: {0}", appenderName); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_NOT_FOUND, msg, null); return statusHandler.handleRequest(request, response, error); } File logFile = new File(appender.getFile()); try { LogUtils.provideLogFile(logFile, response); } catch (Exception ex) { String msg = NLS.bind("An error occured when looking for log {0}.", logFile.getName()); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_INTERNAL_SERVER_ERROR, msg, ex); LogHelper.log(error); return statusHandler.handleRequest(request, response, error); } return true; }	long method	1. long method	t	t	f		long method	0	3920	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.logs/src/org/eclipse/orion/server/logs/servlets/FileAppenderHandler.java/#L43-L70	1	383	3920
1461	YES, I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected float removeInstanceTime(InstanceTime time, boolean isBegin) { // Trace.enter(this, "removeInstanceTime", new Object[] { time, new Boolean(isBegin) } ); try { hasPropagated = true; List instanceTimes = isBegin ? beginInstanceTimes : endInstanceTimes; int index = Collections.binarySearch(instanceTimes, time); for (int i = index; i >= 0; i--) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } int len = instanceTimes.size(); for (int i = index + 1; i < len; i++) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } shouldUpdateCurrentInterval = true; float ret; if (root.isSampling() && !isSampling) { ret = sampleAt(root.getCurrentTime(), root.isHyperlinking()); } else { ret = Float.POSITIVE_INFINITY; } hasPropagated = false; root.currentIntervalWillUpdate(); return ret; // } finally { Trace.exit(); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11023	https://github.com/apache/batik/blob/8b9b758641a11c43c4e9493386268fa0dc5c7efb/batik-anim/src/main/java/org/apache/batik/anim/timing/TimedElement.java/#L306-L343	2	1461	11023
1999	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Check public void checkNoForwardReferences(XExpression fieldInitializer) { JvmIdentifiableElement container = logicalContainerProvider.getLogicalContainer(fieldInitializer); if (container instanceof JvmField) { JvmField field = (JvmField) container; boolean staticField = field.isStatic(); JvmDeclaredType declaredType = field.getDeclaringType(); if (declaredType == null) { return; } Collection illegalFields = Sets.newHashSet(); for(int i = declaredType.getMembers().size() - 1; i>=0; i--) { JvmMember member = declaredType.getMembers().get(i); if (member instanceof JvmField) { if (((JvmField) member).isStatic() == staticField) { illegalFields.add((JvmField) member); } } if (member == field) break; } TreeIterator iterator = EcoreUtil2.eAll(fieldInitializer); while(iterator.hasNext()) { EObject object = iterator.next(); if (object instanceof XFeatureCall) { JvmIdentifiableElement feature = ((XFeatureCall) object).getFeature(); if (illegalFields.contains(((XFeatureCall) object).getFeature())) { error("Cannot reference the field '" + feature.getSimpleName() + "' before it is defined", object, null, INSIGNIFICANT_INDEX, ILLEGAL_FORWARD_REFERENCE); } } else if (isLocalClassSemantics(object)) { iterator.prune(); } } } }	long method	Long method2 Feature envy	t	f	t			0	12705	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src/org/eclipse/xtext/xbase/validation/XbaseValidator.java/#L1028-L1063	2	1999	12705
1272	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static boolean resolveGenericRef(GenericRef ref, Class clazz, Type type) { if (type instanceof Class) { if (type == ref.ifaceClass) { // is this a straight ref or a TypeVariable? // debug("Found ref (as class): %s",toShortName(type)); ref.setGenericFromType(type,0); return true; } else { // Keep digging return resolveGenericRef(ref,type); } } if (type instanceof ParameterizedType) { ParameterizedType ptype = (ParameterizedType)type; Type rawType = ptype.getRawType(); if (rawType == ref.ifaceClass) { // debug("Found ref on [%s] as ParameterizedType [%s]",toShortName(clazz),toShortName(ptype)); // Always get the raw type parameter, let unwrap() solve for what it is ref.setGenericFromType(ptype.getActualTypeArguments()[0],0); return true; } else { // Keep digging return resolveGenericRef(ref,rawType); } } return false; }	long method	Long method2 Feature envy	t	f	t			0	10573	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-websocket/websocket-common/src/main/java/org/eclipse/jetty/websocket/common/util/ReflectUtils.java/#L189-L225	2	1272	10573
1528	YES I found bad smells. The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void registerProjectsToFileBasedWorkspace(Iterable projectURIs, FileBasedWorkspace workspace) throws N4JSCompileException { // TODO GH-783 refactor FileBasedWorkspace, https://github.com/eclipse/n4js/issues/783 // this is reverse mapping of the one that is kept in the workspace Map registeredProjects = new HashMap<>(); workspace.getAllProjectLocationsIterator().forEachRemaining(uri -> { String projectName = workspace.getProjectDescription(uri).getProjectName(); registeredProjects.put(projectName, URIUtils.normalize(uri)); }); // register all projects with the file based workspace. for (URI uri : projectURIs) { URI projectURI = URIUtils.normalize(uri); final ProjectDescription projectDescription = projectDescriptionLoader .loadProjectDescriptionAtLocation(projectURI); if (projectDescription == null) { throw new N4JSCompileException( "Cannot load project description for project at " + projectURI.toFileString() + ". Make sure the project contains a valid package.json file."); } final String projectName = projectDescription.getProjectName(); if (skipRegistering(projectName, projectURI, registeredProjects)) { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Skipping already registered project '" + projectURI + "'"); } /* * We could call FileBasedWorkspace.registerProject which would fail silently. Still to avoid potential * side effects and to keep {@code registeredProjects} management simpler,we will skip it explicitly. */ continue; } try { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Registering project '" + projectURI + "'"); } workspace.registerProject(projectURI); registeredProjects.put(projectName, projectURI); } catch (N4JSBrokenProjectException e) { throw new N4JSCompileException("Unable to register project '" + projectURI + "'", e); } } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	11199	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.generator.headless/src/org/eclipse/n4js/generator/headless/HeadlessHelper.java/#L82-L129	2	1528	11199
99	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private String formatQueryString(final String projectUri, final String[] args) { final StringBuffer result = new StringBuffer(); if (projectUri != null) { if (isCompatibleMode) { result.append("puri="); //$NON-NLS-1$ result.append(URLEncode.encode(projectUri.toString())); } else { final ArtifactID artifactID = new ArtifactID(projectUri); result.append("pguid="); //$NON-NLS-1$ result.append(URLEncode.encode(artifactID.getToolSpecificID())); } } else if (!isCompatibleMode) { result.append("pcguid="); //$NON-NLS-1$ result.append(URLEncode.encode(collectionId.toString())); } for (int i = 0; i < args.length - 1; i += 2) { final String name = args[i]; final String value = args[i + 1]; if (name != null) { if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(name)); } if (value != null) { if (name != null) { result.append('='); } else if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(value)); } } return result.toString(); }	long method	long method	t	t	t			0	1298	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/util/TSWAHyperlinkBuilder.java/#L518-L559	1	99	1298
270	{"response": "YES, I found bad smells", "bad smells are": [ "1. Long method", "2. Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public T callWithTimeout(Callable callable, long timeoutDuration, TimeUnit timeoutUnit) throws ExecutionException { checkNotNull(callable); checkNotNull(timeoutUnit); try { return callable.call(); } catch (RuntimeException e) { throw new UncheckedExecutionException(e); } catch (Exception e) { throw new ExecutionException(e); } catch (Error e) { throw new ExecutionError(e); } catch (Throwable e) { // It's a non-Error, non-Exception Throwable. Such classes are usually intended to extend // Exception, so we'll treat it like an Exception. throw new ExecutionException(e); } }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2901	https://github.com/google/guava/blob/be92294be598b9b6ff0bd1cae3335759dafcb534/guava/src/com/google/common/util/concurrent/FakeTimeLimiter.java/#L49-L67	2	270	2901
1309	{ "YES I found bad smells": true, "the bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected SQLBuffer toBulkOperation(ClassMapping mapping, Select sel, JDBCStore store, Object[] params, Map updateParams) { SQLBuffer sql = new SQLBuffer(this); if (updateParams == null) { if (requiresTargetForDelete) { sql.append("DELETE "); SQLBuffer deleteTargets = getDeleteTargets(sel); sql.append(deleteTargets); sql.append(" FROM "); } else { sql.append("DELETE FROM "); } } else sql.append("UPDATE "); sel.addJoinClassConditions(); // if there is only a single table in the select, then we can // just issue a single DELETE FROM TABLE WHERE // statement; otherwise, since SQL doesn't allow deleting // from one of a multi-table select, we need to issue a subselect // like DELETE FROM TABLE WHERE EXISTS // (SELECT 1 FROM TABLE t0 WHERE t0.ID = TABLE.ID); also, some // databases do not allow aliases in delete statements, which // also causes us to use a subselect Collection selectedTables = getSelectTableAliases(sel); if (selectedTables.size() == 1 && supportsSubselect && allowsAliasInBulkClause) { SQLBuffer from; if (sel.getFromSelect() != null) from = getFromSelect(sel, false); else from = getFrom(sel, false); sql.append(from); appendUpdates(sel, store, sql, params, updateParams, allowsAliasInBulkClause); SQLBuffer where = sel.getWhere(); if (where != null && !where.isEmpty()) { sql.append(" WHERE "); sql.append(where); } return sql; } Table table = mapping.getTable(); String tableName = getFullName(table, false); // only use a subselect if the where is not empty; otherwise // an unqualified delete or update will work if (sel.getWhere() == null || sel.getWhere().isEmpty()) { sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); return sql; } // we need to use a subselect if we are to bulk delete where // the select includes multiple tables; if the database // doesn't support it, then we need to signal this by returning null if (!supportsSubselect || !supportsCorrelatedSubselect) return null; Column[] pks = mapping.getPrimaryKeyColumns(); sel.clearSelects(); sel.setDistinct(true); // if we have only a single PK, we can use a non-correlated // subquery (using an IN statement), which is much faster than // a correlated subquery (since a correlated subquery needs // to be executed once for each row in the table) if (pks.length == 1) { sel.select(pks[0]); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE "). append(pks[0]).append(" IN ("). append(sel.toSelect(false, null)).append(")"); } else { sel.clearSelects(); sel.setDistinct(false); // since the select is using a correlated subquery, we // only need to select a bogus virtual column sel.select("1", null); // add in the joins to the table Column[] cols = table.getPrimaryKey().getColumns(); SQLBuffer buf = new SQLBuffer(this); buf.append("("); for (int i = 0; i < cols.length; i++) { if (i > 0) buf.append(" AND "); // add in "t0.PK = MYTABLE.PK" buf.append(sel.getColumnAlias(cols[i])).append(" = "). append(table).append(catalogSeparator).append(cols[i]); } buf.append(")"); sel.where(buf, null); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE EXISTS ("). append(sel.toSelect(false, null)).append(")"); } return sql; }	long method	long method, feature envy	t	t	t	feature envy		0	10679	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DBDictionary.java/#L2243-L2350	1	1309	10679
3964	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicated code 4. Inconsistent formatting 5. Lack of comments/documentation 6. Poor variable naming 7. Potential for NullPointerException 8. Inefficient use of if/else blocks 9. Code repetition 10. Inappropriate use of nested loops 11. Poor exception handling 12. Potential for logical errors 13. Inconsistent use of braces 14. Lack of abstraction 15. Poor separation of concerns.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: final protected Node internalRemoveNamedItemNS(String namespaceURI, String name, boolean raiseEx) { CoreDocumentImpl ownerDocument = ownerNode.ownerDocument(); if (ownerDocument.errorChecking && isReadOnly()) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NO_MODIFICATION_ALLOWED_ERR", null); throw new DOMException(DOMException.NO_MODIFICATION_ALLOWED_ERR, msg); } int i = findNamePoint(namespaceURI, name); if (i < 0) { if (raiseEx) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NOT_FOUND_ERR", null); throw new DOMException(DOMException.NOT_FOUND_ERR, msg); } else { return null; } } AttrImpl n = (AttrImpl)nodes.get(i); if (n.isIdAttribute()) { ownerDocument.removeIdentifier(n.getValue()); } // If there's a default, add it instead String nodeName = n.getNodeName(); if (hasDefaults()) { NamedNodeMapImpl defaults = ((ElementImpl) ownerNode).getDefaultAttributes(); Node d; if (defaults != null && (d = defaults.getNamedItem(nodeName)) != null) { int j = findNamePoint(nodeName,0); if (j>=0 && findNamePoint(nodeName, j+1) < 0) { NodeImpl clone = (NodeImpl)d.cloneNode(true); clone.ownerNode = ownerNode; if (d.getLocalName() != null) { // we must rely on the name to find a default attribute // ("test:attr"), but while copying it from the DOCTYPE // we should not loose namespace URI that was assigned // to the attribute in the instance document. ((AttrNSImpl)clone).namespaceURI = namespaceURI; } clone.isOwned(true); clone.isSpecified(false); nodes.set(i, clone); if (clone.isIdAttribute()) { ownerDocument.putIdentifier(clone.getNodeValue(), (ElementImpl)ownerNode); } } else { nodes.remove(i); } } else { nodes.remove(i); } } else { nodes.remove(i); } // changed(true); // remove reference to owner n.ownerNode = ownerDocument; n.isOwned(false); // make sure it won't be mistaken with defaults in case it's // reused n.isSpecified(true); // update id table if needed n.isIdAttribute(false); // notify document ownerDocument.removedAttrNode(n, ownerNode, name); return n; } // internalRemoveNamedItemNS(String,String,boolean):Node	long method	Long method2 Feature envy3 Duplicated code4 Inconsistent formatting5 Lack of comments/documentation6 Poor variable naming7 Potential for NullPointerException8 Inefficient use of if/else blocks9 Code repetition	t	f	t			0	10391	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/dom/AttributeMap.java/#L391-L467	2	3964	10391
1027	YES, I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Lack of comments 4. Primitive obsession 5. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	Long method 2 Duplicate code 3 Lack of comments 4 Primitive obsession 5 Feature envy	t	f	t			0	9370	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	2	1027	9370
466	the bad smells are: 1. Long method 2. Feature envy 3. Conditional complexity (multiple nested if statements) 4. Inconsistent formatting and indentation 5. Unclear variable names 6. Lack of comments/documentation 7. Duplicate code (throwing the same exception for different conditions)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean deriveTypeHierarchyFromOverridden(ParserRule rule, Grammar grammar) throws TransformationException { AbstractRule parentRule = GrammarUtil.findRuleForName(grammar, rule.getName()); if (parentRule != null) { if (parentRule != rule && parentRule instanceof ParserRule) { ParserRule casted = (ParserRule) parentRule; if (casted.isFragment() != rule.isFragment()) { if (rule.isFragment()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "A fragment rule cannot override a production rule.", rule); } else { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Only fragment rule can override other fragment rules.", rule); } } if (casted.isWildcard() != rule.isWildcard()) { if (rule.isWildcard()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "A wildcard fragment rule cannot override a typed fragment rule.", rule); } else { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Only wildcard fragment rules can override other wildcard fragments.", rule); } } if (rule.isFragment() && !rule.isWildcard() && parentRule.getType() != null) { if (rule.getType().getClassifier() != parentRule.getType().getClassifier()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Overriding fragment rules cannot redeclare their type.", rule.getType()); } } checkParameterLists(rule, casted); } if (parentRule.getType() != null && parentRule != rule) { if (parentRule.getType().getClassifier() instanceof EDataType) throw new TransformationException(TransformationErrorCode.InvalidSupertype, "Cannot inherit from datatype rule and return another type.", rule.getType()); EClassifierInfo parentTypeInfo = eClassifierInfos.getInfoOrNull(parentRule.getType()); if (parentTypeInfo == null) throw new TransformationException(TransformationErrorCode.InvalidSupertype, "Cannot determine return type of overridden rule.", rule.getType()); addSuperType(rule, rule.getType(), parentTypeInfo); return true; } } return false; }	long method	Long method2 Feature envy3 Conditional complexity (multiple nested if statements)4 Inconsistent formatting and indentation 5 Unclear variable names 6 Lack of comments/documentation 7 Duplicate code (throwing the same exception for different conditions)	f	f	t			0	4523	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext/src/org/eclipse/xtext/xtext/ecoreInference/Xtext2EcoreTransformer.java/#L720-L764	2	466	4523
1623	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean equals(Object obj) { if (this == obj) { return true; } if (!super.equals(obj)) { return false; } if (getClass() != obj.getClass()) { return false; } ContextResourceLink other = (ContextResourceLink) obj; if (factory == null) { if (other.factory != null) { return false; } } else if (!factory.equals(other.factory)) { return false; } if (global == null) { if (other.global != null) { return false; } } else if (!global.equals(other.global)) { return false; } return true; }	long method	Long method2 Feature envy	t	f	t			0	11490	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/tomcat/util/descriptor/web/ContextResourceLink.java/#L94-L121	2	1623	11490
261	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long method", "2. Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void crawl(File dirRoot) { LOG.info(String.format("Start crawling dir: %s", dirRoot)); // Reset ingest status.a ingestStatus.clear(); // Load actions. loadAndValidateActions(); // Create Ingester. setupIngester(); // Verify valid crawl directory. if (dirRoot == null || !dirRoot.exists()) { throw new IllegalArgumentException("dir root is null or non existant!"); } // Start crawling. Stack stack = new Stack(); stack.push(dirRoot.isDirectory() ? dirRoot : dirRoot.getParentFile()); while (!stack.isEmpty()) { File dir = (File) stack.pop(); LOG.log(Level.INFO, "Crawling " + dir); File[] productFiles; productFiles = isCrawlForDirs() ? dir.listFiles(DIR_FILTER) : dir.listFiles(FILE_FILTER); if(productFiles!=null) { for (File productFile : productFiles) { ingestStatus.add(handleFile(productFile)); } } if (!isNoRecur()) { File[] subdirs = dir.listFiles(DIR_FILTER); if (subdirs != null) { for (File subdir : subdirs) { stack.push(subdir); } } } } LOG.info(String.format("Finished crawling dir: %s", dirRoot)); }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2843	https://github.com/apache/oodt/blob/9f2a500b9d061c31ccd71fc66c4d6e40f0c25acb/crawler/src/main/java/org/apache/oodt/cas/crawl/ProductCrawler.java/#L79-L124	2	261	2843
982	YES I found bad smells the bad smells are: 1. Long method 2. Commented out code (case DEFAULT)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Component getNextComponent(final Container container, final Component component, final FocusTraversalDirection direction) { Utils.checkNull(container, "container"); Utils.checkNull(direction, "direction"); Component nextComponent = null; int n = container.getLength(); if (n > 0) { switch (direction) { case FORWARD: if (component == null) { // Return the first component in the sequence nextComponent = container.get(0); } else { // Return the next component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index < n - 1) { nextComponent = container.get(index + 1); } else { if (wrap) { nextComponent = container.get(0); } } } break; case BACKWARD: if (component == null) { // Return the last component in the sequence nextComponent = container.get(n - 1); } else { // Return the previous component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index > 0) { nextComponent = container.get(index - 1); } else { if (wrap) { nextComponent = container.get(n - 1); } } } break; default: break; } } return nextComponent; }	long method	Long method2 Commented out code (case DEFAULT)	t	f	t			0	8859	https://github.com/apache/pivot/blob/568543f3396648a646341fe077a714eb06d556c0/wtk/src/org/apache/pivot/wtk/skin/ContainerSkin.java/#L57-L118	2	982	8859
1042	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void execute() throws ResourceUnavailableException, InsufficientCapacityException, ServerApiException, ConcurrentOperationException, ResourceAllocationException, NetworkRuleConflictException { Map dm = new HashMap(); dm.put(ApiConstants.S3_ACCESS_KEY, getAccessKey()); dm.put(ApiConstants.S3_SECRET_KEY, getSecretKey()); dm.put(ApiConstants.S3_END_POINT, getEndPoint()); dm.put(ApiConstants.S3_BUCKET_NAME, getBucketName()); if (getSigner() != null && (getSigner().equals(ApiConstants.S3_V3_SIGNER) || getSigner().equals(ApiConstants.S3_V4_SIGNER))) { dm.put(ApiConstants.S3_SIGNER, getSigner()); } if (isHttps() != null) { dm.put(ApiConstants.S3_HTTPS_FLAG, isHttps().toString()); } if (getConnectionTimeout() != null) { dm.put(ApiConstants.S3_CONNECTION_TIMEOUT, getConnectionTimeout().toString()); } if (getMaxErrorRetry() != null) { dm.put(ApiConstants.S3_MAX_ERROR_RETRY, getMaxErrorRetry().toString()); } if (getSocketTimeout() != null) { dm.put(ApiConstants.S3_SOCKET_TIMEOUT, getSocketTimeout().toString()); } if (getConnectionTtl() != null) { dm.put(ApiConstants.S3_CONNECTION_TTL, getConnectionTtl().toString()); } if (getUseTCPKeepAlive() != null) { dm.put(ApiConstants.S3_USE_TCP_KEEPALIVE, getUseTCPKeepAlive().toString()); } try{ ImageStore result = _storageService.discoverImageStore(null, null, "S3", null, dm); ImageStoreResponse storeResponse; if (result != null) { storeResponse = _responseGenerator.createImageStoreResponse(result); storeResponse.setResponseName(getCommandName()); storeResponse.setObjectName("imagestore"); setResponseObject(storeResponse); } else { throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, "Failed to add S3 Image Store."); } } catch (DiscoveryException ex) { s_logger.warn("Exception: ", ex); throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, ex.getMessage()); } }	long method	Long method2 Feature envy	t	f	t			0	9438	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/api/src/main/java/org/apache/cloudstack/api/command/admin/storage/AddImageStoreS3CMD.java/#L99-L147	2	1042	9438
2841	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @VisibleForTesting @Nonnull static Supplier supplierFromDimensionSelector(final DimensionSelector selector) { Preconditions.checkNotNull(selector, "selector"); return () -> { final IndexedInts row = selector.getRow(); if (row.size() == 1) { return selector.lookupName(row.get(0)); } else { // Can't handle non-singly-valued rows in expressions. // Treat them as nulls until we think of something better to do. return null; } }; }	long method	Long method2 Feature envy	t	f	t			0	1663	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/processing/src/main/java/org/apache/druid/segment/virtual/ExpressionSelectors.java/#L311-L327	2	2841	1663
2369	{"response": "YES I found bad smells. The bad smells are: Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int setPath(Path2D path) { Rectangle2D bounds = path.getBounds2D(); PathIterator it = path.getPathIterator(null); List segInfo = new ArrayList<>(); List pntInfo = new ArrayList<>(); boolean isClosed = false; int numPoints = 0; while (!it.isDone()) { double[] vals = new double[6]; int type = it.currentSegment(vals); switch (type) { case PathIterator.SEG_MOVETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_MOVETO); numPoints++; break; case PathIterator.SEG_LINETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); numPoints++; break; case PathIterator.SEG_CUBICTO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); pntInfo.add(new Point2D.Double(vals[2], vals[3])); pntInfo.add(new Point2D.Double(vals[4], vals[5])); segInfo.add(SEGMENTINFO_CUBICTO); segInfo.add(SEGMENTINFO_ESCAPE2); numPoints++; break; case PathIterator.SEG_QUADTO: //TODO: figure out how to convert SEG_QUADTO into SEG_CUBICTO LOG.log(POILogger.WARN, "SEG_QUADTO is not supported"); break; case PathIterator.SEG_CLOSE: pntInfo.add(pntInfo.get(0)); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_CLOSE); isClosed = true; numPoints++; break; default: LOG.log(POILogger.WARN, "Ignoring invalid segment type "+type); break; } it.next(); } if(!isClosed) { segInfo.add(SEGMENTINFO_LINETO); } segInfo.add(SEGMENTINFO_END); AbstractEscherOptRecord opt = getEscherOptRecord(); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__SHAPEPATH, 0x4)); EscherArrayProperty verticesProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__VERTICES + 0x4000), false, null); verticesProp.setNumberOfElementsInArray(pntInfo.size()); verticesProp.setNumberOfElementsInMemory(pntInfo.size()); verticesProp.setSizeOfElements(8); for (int i = 0; i < pntInfo.size(); i++) { Point2D.Double pnt = pntInfo.get(i); byte[] data = new byte[8]; LittleEndian.putInt(data, 0, Units.pointsToMaster(pnt.getX() - bounds.getX())); LittleEndian.putInt(data, 4, Units.pointsToMaster(pnt.getY() - bounds.getY())); verticesProp.setElement(i, data); } opt.addEscherProperty(verticesProp); EscherArrayProperty segmentsProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__SEGMENTINFO + 0x4000), false, null); segmentsProp.setNumberOfElementsInArray(segInfo.size()); segmentsProp.setNumberOfElementsInMemory(segInfo.size()); segmentsProp.setSizeOfElements(0x2); for (int i = 0; i < segInfo.size(); i++) { byte[] seg = segInfo.get(i); segmentsProp.setElement(i, seg); } opt.addEscherProperty(segmentsProp); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__RIGHT, Units.pointsToMaster(bounds.getWidth()))); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__BOTTOM, Units.pointsToMaster(bounds.getHeight()))); opt.sortProperties(); setAnchor(bounds); return numPoints; }	long method	long method	t	t	t			0	14303	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/scratchpad/src/org/apache/poi/hslf/usermodel/HSLFFreeformShape.java/#L107-L198	1	2369	14303
2112	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int next() { final int startNode = _startNode; if (_startNode == NULL) { return NULL; } int node = _currentNode; int expType; final int nodeType = _nodeType; if (nodeType != DTM.ELEMENT_NODE) { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType != nodeType); } // %OPT% If the start node is root (e.g. in the case of //node), // we can save the isDescendant() check, because all nodes are // descendants of root. else if (startNode == DTMDefaultBase.ROOTNODE) { do { node++; expType = _exptype2(node); if (NULL == expType) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } else { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } _currentNode = node; return returnNode(makeNodeHandle(node)); }	long method	long method, feature envy	t	t	t	feature envy		0	13189	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/xalan/third_party/android/platform/external/apache-xml/src/main/java/org/apache/xml/dtm/ref/sax2dtm/SAX2DTM2.java/#L1658-L1719	1	2112	13189
351	YES I found bad smells The bad smells are:1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public short syncAll(short syncMode) { short syncState = SYNC_STATE_IN_SYNC; /* vnc classes need to be synchronized with cloudstack */ s_logger.debug("syncing cloudstack db with vnc"); try { for (Class cls : _vncClasses) { /* lock the sync mode*/ _lockSyncMode.lock(); _rwMode = syncMode == DBSyncGeneric.SYNC_MODE_UPDATE; _dbSync.setSyncMode(syncMode); if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check start: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync start: " + DBSyncGeneric.getClassName(cls)); } if (_dbSync.sync(cls) == false) { if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.info("out of sync detected: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.info("out of sync detected and re-synced: " + DBSyncGeneric.getClassName(cls)); } syncState = SYNC_STATE_OUT_OF_SYNC; } if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check finish: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync finish: " + DBSyncGeneric.getClassName(cls)); } /* unlock the sync mode */ _lockSyncMode.unlock(); } } catch (Exception ex) { s_logger.warn("DB Synchronization", ex); syncState = SYNC_STATE_UNKNOWN; if (_lockSyncMode.isLocked()) { _lockSyncMode.unlock(); } } return syncState; }	long method	Long method2 Feature envy	t	f	t			0	3600	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/juniper-contrail/src/main/java/org/apache/cloudstack/network/contrail/management/ServerDBSyncImpl.java/#L129-L174	2	351	3600
5639	{ "message": "YES I found bad smells", "bad smells are": [ "Long method" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	long method	t	t	t			0	10918	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	2	5639	10918
4111	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean readFont(FontFileReader in, String header, String name) throws IOException { initializeFont(in); /* * Check if TrueType collection, and that the name * exists in the collection */ if (!checkTTC(header, name)) { if (name == null) { throw new IllegalArgumentException( "For TrueType collection you must specify which font " + "to select (-ttcname)"); } else { throw new IOException( "Name does not exist in the TrueType collection: " + name); } } readDirTabs(); readFontHeader(); getNumGlyphs(); if (log.isDebugEnabled()) { log.debug("Number of glyphs in font: " + numberOfGlyphs); } readHorizontalHeader(); readHorizontalMetrics(); initAnsiWidths(); readPostScript(); readOS2(); determineAscDesc(); readName(); boolean pcltFound = readPCLT(); // Read cmap table and fill in ansiwidths boolean valid = readCMAP(); if (!valid) { return false; } // Create cmaps for bfentries createCMaps(); updateBBoxAndOffset(); if (useKerning) { readKerning(); } handleCharacterSpacing(in); guessVerticalMetricsFromGlyphBBox(); return true; }	long method	long method	t	t	t			0	10827	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fonts/truetype/OpenFont.java/#L813-L862	1	4111	10827
757	{"message":"YES I found bad smells","bad smells are":["1. Long Method","2. Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	7057	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	1	757	7057
1604	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void getSuggestions(final String query) { if (query == null || query.isEmpty()) { return; } // Initialize the locatorSugestion parameters locatorParams(SUGGEST_PLACE); // Attach a listener to the locator task since // the LocatorTask may or may not be loaded the // the very first time a user types text into the search box. // If the Locator is already loaded, the following listener // is invoked immediately. mLocator.addDoneLoadingListener(new Runnable() { @Override public void run() { // Does this locator support suggestions? if (mLocator.getLoadStatus().name() != LoadStatus.LOADED.name()){ //Log.i(TAG,"##### " + mLocator.getLoadStatus().name()); } else if (!mLocator.getLocatorInfo().isSupportsSuggestions()){ return; } //og.i(TAG,"****** " + mLocator.getLoadStatus().name()); final ListenableFuture> suggestionsFuture = mLocator.suggestAsync(query, suggestParams); // Attach a done listener that executes upon completion of the async call suggestionsFuture.addDoneListener(new Runnable() { @Override public void run() { try { // Get the suggestions returned from the locator task. // Store retrieved suggestions for future use (e.g. if the user // selects a retrieved suggestion, it can easily be // geocoded). mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList); } catch (Exception e) { Log.e(TAG, "Error on getting suggestions " + e.getMessage()); } } }); } }); // Initiate the asynchronous call mLocator.loadAsync(); }	long method	1 Long Method, 2 Data Class	t	f	t	2. Data Class		0	11442	https://github.com/Esri/maps-app-android/blob/1af1f74ece08f678ce7de7bf173034d30e1cb100/maps-app/src/main/java/com/esri/android/mapsapp/MapFragment.java/#L735-L781	1	1604	11442
5012	{"answer": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void start(Stage stage) { try { // create splitPane pane and JavaFX app scene SplitPane splitPane = new SplitPane(); splitPane.setOrientation(Orientation.VERTICAL); Scene fxScene = new Scene(splitPane); // set title, size, and add JavaFX scene to stage stage.setTitle("Feature Layer Rendering Mode Map Sample"); stage.setWidth(800); stage.setHeight(700); stage.setScene(fxScene); stage.show(); // create a map (top) and set it to render all features in static rendering mode ArcGISMap mapTop = new ArcGISMap(); mapTop.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); // create a map (bottom) and set it to render all features in dynamic rendering mode ArcGISMap mapBottom = new ArcGISMap(); mapBottom.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); // creating top map view mapViewTop = new MapView(); mapViewTop.setMap(mapTop); splitPane.getItems().add(mapViewTop); // creating bottom map view mapViewBottom = new MapView(); mapViewBottom.setMap(mapBottom); splitPane.getItems().add(mapViewBottom); // create service feature table using a point, polyline, and polygon service ServiceFeatureTable pointServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/0"); ServiceFeatureTable polylineServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/8"); ServiceFeatureTable polygonServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/9"); // create feature layer from service feature tables FeatureLayer pointFeatureLayer = new FeatureLayer(pointServiceFeatureTable); FeatureLayer polylineFeatureLayer = new FeatureLayer(polylineServiceFeatureTable); FeatureLayer polygonFeatureLayer = new FeatureLayer(polygonServiceFeatureTable); // add each layer to top and bottom map mapTop.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer, polylineFeatureLayer, polygonFeatureLayer)); mapBottom.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer.copy(), polylineFeatureLayer.copy(), polygonFeatureLayer.copy())); // viewpoint locations for map view to zoom in and out to Viewpoint zoomOutPoint = new Viewpoint(new Point(-118.37, 34.46, SpatialReferences.getWgs84()), 650000, 0); Viewpoint zoomInPoint = new Viewpoint(new Point(-118.45, 34.395, SpatialReferences.getWgs84()), 50000, 90); mapViewTop.setViewpoint(zoomOutPoint); mapViewBottom.setViewpoint(zoomOutPoint); //loop an animation into and out from the zoom in point (5 seconds each) with a 2 second gap between zooming timeline = new Timeline(); timeline.setCycleCount(Animation.INDEFINITE); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(7), event -> zoomTo(zoomInPoint))); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(14), event -> zoomTo(zoomOutPoint))); timeline.play(); } catch (Exception e) { // on any error, display the stack trace. e.printStackTrace(); } }	long method	long method	t	t	t			0	13779	https://github.com/Esri/arcgis-runtime-samples-java/blob/c7a0b309586495ff9cc9dbed129e411943547793/src/main/java/com/esri/samples/featurelayers/feature_layer_rendering_mode_map/FeatureLayerRenderingModeMapSample.java/#L45-L114	1	5012	13779
1613	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy (the code is manipulating data belonging to the connection object instead of its own data) 3. Magic numbers/strings (e.g. -1, "Connection error while authenticating user") 4. Hard coded values (e.g. Version.CURRENT) 5. Code duplication (setting the secure part of the message twice) 6. Inconsistent formatting and indentation 7. Lack of proper error handling and comments/documentation.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void sendMessage(Connection cnx) throws Exception { if (cnx.getServer().getRequiresCredentials()) { // Security is enabled on client as well as on server getMessage().setMessageHasSecurePartFlag(); long userId = -1; if (UserAttributes.userAttributes.get() == null) { // single user mode userId = cnx.getServer().getUserId(); } else { // multi user mode Object id = UserAttributes.userAttributes.get().getServerToId().get(cnx.getServer()); if (id == null) { // This will ensure that this op is retried on another server, unless // the retryCount is exhausted. Fix for Bug 41501 throw new ServerConnectivityException("Connection error while authenticating user"); } userId = (Long) id; } HeapDataOutputStream hdos = new HeapDataOutputStream(Version.CURRENT); try { hdos.writeLong(cnx.getConnectionID()); hdos.writeLong(userId); getMessage().setSecurePart(((ConnectionImpl) cnx).encryptBytes(hdos.toByteArray())); } finally { hdos.close(); } } getMessage().send(false); }	long method	Long method2 Feature envy (the code is manipulating data belonging to the connection object instead of its own data) 3 Magic numbers/strings (eg -	t	f	t			0	11470	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/cache/client/internal/AbstractOp.java/#L111-L138	2	1613	11470
1031	{ "error": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @MultiMQAdminCmdMethod public Map resetOffset(ResetOffsetRequest resetOffsetRequest) { Map groupRollbackStats = Maps.newHashMap(); for (String consumerGroup : resetOffsetRequest.getConsumerGroupList()) { try { Map rollbackStatsMap = mqAdminExt.resetOffsetByTimestamp(resetOffsetRequest.getTopic(), consumerGroup, resetOffsetRequest.getResetTime(), resetOffsetRequest.isForce()); ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = consumerGroupRollBackStat.getRollbackStatsList(); for (Map.Entry rollbackStatsEntty : rollbackStatsMap.entrySet()) { RollbackStats rollbackStats = new RollbackStats(); rollbackStats.setRollbackOffset(rollbackStatsEntty.getValue()); rollbackStats.setQueueId(rollbackStatsEntty.getKey().getQueueId()); rollbackStats.setBrokerName(rollbackStatsEntty.getKey().getBrokerName()); rollbackStatsList.add(rollbackStats); } groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); } catch (MQClientException e) { if (ResponseCode.CONSUMER_NOT_ONLINE == e.getResponseCode()) { try { ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = mqAdminExt.resetOffsetByTimestampOld(consumerGroup, resetOffsetRequest.getTopic(), resetOffsetRequest.getResetTime(), true); consumerGroupRollBackStat.setRollbackStatsList(rollbackStatsList); groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); continue; } catch (Exception err) { logger.error("op=resetOffset_which_not_online_error", err); } } else { logger.error("op=resetOffset_error", e); } groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } catch (Exception e) { logger.error("op=resetOffset_error", e); groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } } return groupRollbackStats; }	long method	long method	t	t	t			0	9386	https://github.com/apache/rocketmq-externals/blob/dba6eb0c997d5c325f26b3d1da9d739d927228dc/rocketmq-console/src/main/java/org/apache/rocketmq/console/service/impl/ConsumerServiceImpl.java/#L208-L251	1	1031	9386
882	YES I found bad smells The bad smells are: 1. Long method 2. Long method (commented section discussing subtle differences) 3. Feature envy (the if statement checking the value) 4. Duplicate code (repeated code for handling null values) 5. Long parameter list 6. Long method (within the if statement)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void afterValue( K key, V value ) throws LdapException, CursorException { checkNotClosed(); /* * There is a subtle difference between after and before handling * with duplicate key values. Say we have the following tuples: * * (0, 0) * (1, 1) * (1, 2) * (1, 3) * (2, 2) * * If we request an after cursor on (1, 2). We must make sure that * the container cursor does not advance after the entry with key 1 * since this would result in us skip returning (1. 3) on the call to * next which will incorrectly return (2, 2) instead. * * So if the value is null in the element then we don't care about * this obviously since we just want to advance past the duplicate key * values all together. But when it is not null, then we want to * go right before this key instead of after it. */ if ( value == null ) { containerCursor.after( new Tuple>( key, null ) ); } else { containerCursor.before( new Tuple>( key, null ) ); } if ( containerCursor.next() ) { containerTuple.setBoth( containerCursor.get() ); DupsContainer values = containerTuple.getValue(); if ( values.isArrayTree() ) { ArrayTree set = values.getArrayTree(); dupsCursor = new ArrayTreeCursor<>( set ); } else { try { BTree tree = table.getBTree( values.getBTreeRedirect() ); dupsCursor = new KeyBTreeCursor<>( tree, table.getValueComparator() ); } catch ( IOException e ) { throw new CursorException( e ); } } if ( value == null ) { return; } // only advance the dupsCursor if we're on same key if ( table.getKeyComparator().compare( containerTuple.getKey(), key ) == 0 ) { dupsCursor.after( value ); } return; } clearValue(); containerTuple.setKey( null ); containerTuple.setValue( null ); }	long method	Long method 2 Long method (commented section discussing subtle differences) 3 Feature envy (the if statement checking the value) 4 Duplicate code (repeated code for handling null values) 5 Long parameter list 6 Long method (within the if statement)	t	f	t			0	8025	https://github.com/apache/directory-server/blob/310007cc1c7eb5415f93bed67d5553bc70980820/jdbm-partition/src/main/java/org/apache/directory/server/core/partition/impl/btree/jdbm/DupsCursor.java/#L174-L247	2	882	8025
5690	YES I found bad smells the bad smells are: 1. Blob 2. Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.util.concurrent.Future updateStack( final UpdateStackRequest request, final com.oracle.bmc.responses.AsyncHandler handler) { LOG.trace("Called async updateStack"); final UpdateStackRequest interceptedRequest = UpdateStackConverter.interceptRequest(request); final com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = UpdateStackConverter.fromRequest(client, interceptedRequest); final com.google.common.base.Function transformer = UpdateStackConverter.fromResponse(); com.oracle.bmc.responses.AsyncHandler handlerToUse = handler; if (handler != null && this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { handlerToUse = new com.oracle.bmc.util.internal.RefreshAuthTokenWrappingAsyncHandler< UpdateStackRequest, UpdateStackResponse>( (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, handler) { @Override public void retryCall() { final com.oracle.bmc.util.internal.Consumer onSuccess = new com.oracle.bmc.http.internal.SuccessConsumer<>( this, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = new com.oracle.bmc.http.internal.ErrorConsumer<>( this, interceptedRequest); client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }; } final com.oracle.bmc.util.internal.Consumer onSuccess = (handler == null) ? null : new com.oracle.bmc.http.internal.SuccessConsumer<>( handlerToUse, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = (handler == null) ? null : new com.oracle.bmc.http.internal.ErrorConsumer<>( handlerToUse, interceptedRequest); java.util.concurrent.Future responseFuture = client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); if (this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { return new com.oracle.bmc.util.internal.RefreshAuthTokenTransformingFuture< javax.ws.rs.core.Response, UpdateStackResponse>( responseFuture, transformer, (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, new com.google.common.base.Supplier< java.util.concurrent.Future>() { @Override public java.util.concurrent.Future get() { return client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }); } else { return new com.oracle.bmc.util.internal.TransformingFuture<>( responseFuture, transformer); } }	long method	Blob2 Long method	t	f	t			0	12064	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-resourcemanager/src/main/java/com/oracle/bmc/resourcemanager/ResourceManagerAsyncClient.java/#L1366-L1452	1	5690	12064
1224	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	Long method 2 Feature envy	t	f	t			0	10343	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	2	1224	10343
829	{"message":"YES I found bad smells","bad_smells":["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean readFrom(ByteBuffer buf, MessageReader reader) { reader.setBuffer(buf); if (!reader.beforeMessageRead()) return false; if (!super.readFrom(buf, reader)) return false; switch (reader.state()) { case 3: futId = reader.readLong("futId"); if (!reader.isLastRead()) return false; reader.incrementState(); case 4: locksArr = reader.readObjectArray("locksArr", MessageCollectionItemType.MSG, TxLockList.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 5: nearTxKeysArr = reader.readObjectArray("nearTxKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 6: txKeysArr = reader.readObjectArray("txKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); } return reader.afterMessageRead(TxLocksResponse.class); }	long method	1. long method	t	t	t			0	7728	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/transactions/TxLocksResponse.java/#L272-L317	1	829	7728
2397	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List getOrderedLogFileIds() { File fileLogDir = new File(logDir); String[] logFileNames = null; List logFileIds = null; if (!fileLogDir.exists()) { LOGGER.log(Level.INFO, "log dir " + logDir + " doesn't exist. returning empty list"); return Collections.emptyList(); } if (!fileLogDir.isDirectory()) { throw new IllegalStateException("log dir " + logDir + " exists but it is not a directory"); } logFileNames = fileLogDir.list((dir, name) -> name.startsWith(logFilePrefix)); if (logFileNames == null) { throw new IllegalStateException("listing of log dir (" + logDir + ") files returned null. " + "Either an IO error occurred or the dir was just deleted by another process/thread"); } if (logFileNames.length == 0) { LOGGER.log(Level.INFO, "the log dir (" + logDir + ") is empty. returning empty list"); return Collections.emptyList(); } logFileIds = new ArrayList<>(); for (String fileName : logFileNames) { logFileIds.add(Long.parseLong(fileName.substring(logFilePrefix.length() + 1))); } logFileIds.sort(Long::compareTo); return logFileIds; }	long method	Long method2 Feature envy	t	f	t			0	14375	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-transactions/src/main/java/org/apache/asterix/transaction/management/service/logging/LogManager.java/#L440-L466	2	2397	14375
2065	{"response": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void walker(List> finalResult, final List> input, List listSoFar, final int level) throws SemanticException { // Base case. if (level == (input.size() - 1)) { assert (input.get(level) != null) : "Unique skewed element list has null list in " + level + "th position."; for (String v : input.get(level)) { List oneCompleteIndex = new ArrayList(listSoFar); oneCompleteIndex.add(v); finalResult.add(oneCompleteIndex); } return; } // Recursive. for (String v : input.get(level)) { List clonedListSoFar = new ArrayList(listSoFar); clonedListSoFar.add(v); int nextLevel = level + 1; walker(finalResult, input, clonedListSoFar, nextLevel); } }	long method	1. long method	t	t	t			0	12987	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/listbucketingpruner/ListBucketingPruner.java/#L612-L633	1	2065	12987
590	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Magic numbers 5. Non-descriptive variable names 6. Deprecated code 7. Code commented out and not removed 8. Code that needs to be fixed (marked by FIXME) 9. Mixing of concerns (semantic check and inheritance check) 10. Mixing of levels of abstraction (parsing per clause and adding attribute to ajAttributes) 11. Unused variables (aspectAttribute) 12. Lack of error handling (returning false without specific error message)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static boolean handleAspectAnnotation(RuntimeAnnos runtimeAnnotations, AjAttributeStruct struct) { AnnotationGen aspect = getAnnotation(runtimeAnnotations, AjcMemberMaker.ASPECT_ANNOTATION); if (aspect != null) { // semantic check for inheritance (only one level up) boolean extendsAspect = false; if (!"java.lang.Object".equals(struct.enclosingType.getSuperclass().getName())) { if (!struct.enclosingType.getSuperclass().isAbstract() && struct.enclosingType.getSuperclass().isAspect()) { reportError("cannot extend a concrete aspect", struct); return false; } extendsAspect = struct.enclosingType.getSuperclass().isAspect(); } NameValuePair aspectPerClause = getAnnotationElement(aspect, VALUE); final PerClause perClause; if (aspectPerClause == null) { // empty value means singleton unless inherited if (!extendsAspect) { perClause = new PerSingleton(); } else { perClause = new PerFromSuper(struct.enclosingType.getSuperclass().getPerClause().getKind()); } } else { String perX = aspectPerClause.getValue().stringifyValue(); if (perX == null || perX.length() <= 0) { perClause = new PerSingleton(); } else { perClause = parsePerClausePointcut(perX, struct); } } if (perClause == null) { // could not parse it, ignore the aspect return false; } else { perClause.setLocation(struct.context, -1, -1);// struct.context.getOffset(), // struct.context.getOffset()+1);//FIXME // AVASM // Not setting version here // struct.ajAttributes.add(new AjAttribute.WeaverVersionInfo()); AjAttribute.Aspect aspectAttribute = new AjAttribute.Aspect(perClause); struct.ajAttributes.add(aspectAttribute); FormalBinding[] bindings = new org.aspectj.weaver.patterns.FormalBinding[0]; final IScope binding; binding = new BindingScope(struct.enclosingType, struct.context, bindings); // // we can't resolve here since the perclause typically refers // to pointcuts // // defined in the aspect that we haven't told the // BcelObjectType about yet. // // perClause.resolve(binding); // so we prepare to do it later... aspectAttribute.setResolutionScope(binding); return true; } } return false; }	long method	Long method2 Feature envy3 Duplicate code4 Magic numbers5 Non-descriptive variable names6 Deprecated code7 Code commented out and not removed8 Code that needs to be fixed (marked by FIXME)9 Mixing of concerns (semantic check and inheritance check)	t	f	t			0	5890	https://github.com/eclipse/org.aspectj/blob/370f291c359cd159c5f3f0abd6e9e53e81234a07/weaver/src/main/java/org/aspectj/weaver/bcel/AtAjAttributes.java/#L526-L584	2	590	5890
3903	{ "output": "YES I found bad smells the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private JPEGImageMetadataFormat() { super(JPEG.nativeImageMetadataFormatName, CHILD_POLICY_ALL); addElement("JPEGvariety", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_CHOICE); addElement("markerSequence", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_SEQUENCE); addElement("app0JFIF", "JPEGvariety", CHILD_POLICY_SOME); addStreamElements("markerSequence"); addElement("app14Adobe", "markerSequence", CHILD_POLICY_EMPTY); addElement("sof", "markerSequence", 1, 4); addElement("sos", "markerSequence", 1, 4); addElement("JFXX", "app0JFIF", 1, Integer.MAX_VALUE); addElement("app0JFXX", "JFXX", CHILD_POLICY_CHOICE); addElement("app2ICC", "app0JFIF", CHILD_POLICY_EMPTY); addAttribute("app0JFIF", "majorVersion", DATATYPE_INTEGER, false, "1", "0", "255", true, true); addAttribute("app0JFIF", "minorVersion", DATATYPE_INTEGER, false, "2", "0", "255", true, true); List resUnits = new ArrayList<>(); resUnits.add("0"); resUnits.add("1"); resUnits.add("2"); addAttribute("app0JFIF", "resUnits", DATATYPE_INTEGER, false, "0", resUnits); addAttribute("app0JFIF", "Xdensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "Ydensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "thumbWidth", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addAttribute("app0JFIF", "thumbHeight", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addElement("JFIFthumbJPEG", "app0JFXX", CHILD_POLICY_SOME); addElement("JFIFthumbPalette", "app0JFXX", CHILD_POLICY_EMPTY); addElement("JFIFthumbRGB", "app0JFXX", CHILD_POLICY_EMPTY); List codes = new ArrayList<>(); codes.add("16"); // Hex 10 codes.add("17"); // Hex 11 codes.add("19"); // Hex 13 addAttribute("app0JFXX", "extensionCode", DATATYPE_INTEGER, false, null, codes); addChildElement("markerSequence", "JFIFthumbJPEG"); addAttribute("JFIFthumbPalette", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbPalette", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addObjectValue("app2ICC", ICC_Profile.class, false, null); addAttribute("app14Adobe", "version", DATATYPE_INTEGER, false, "100", "100", "255", true, true); addAttribute("app14Adobe", "flags0", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); addAttribute("app14Adobe", "flags1", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); List transforms = new ArrayList<>(); transforms.add("0"); transforms.add("1"); transforms.add("2"); addAttribute("app14Adobe", "transform", DATATYPE_INTEGER, true, null, transforms); addElement("componentSpec", "sof", CHILD_POLICY_EMPTY); List procs = new ArrayList<>(); procs.add("0"); procs.add("1"); procs.add("2"); addAttribute("sof", "process", DATATYPE_INTEGER, false, null, procs); addAttribute("sof", "samplePrecision", DATATYPE_INTEGER, false, "8"); addAttribute("sof", "numLines", DATATYPE_INTEGER, false, null, "0", "65535", true, true); addAttribute("sof", "samplesPerLine", DATATYPE_INTEGER, false, null, "0", "65535", true, true); List comps = new ArrayList<>(); comps.add("1"); comps.add("2"); comps.add("3"); comps.add("4"); addAttribute("sof", "numFrameComponents", DATATYPE_INTEGER, false, null, comps); addAttribute("componentSpec", "componentId", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("componentSpec", "HsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); addAttribute("componentSpec", "VsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); List tabids = new ArrayList<>(); tabids.add("0"); tabids.add("1"); tabids.add("2"); tabids.add("3"); addAttribute("componentSpec", "QtableSelector", DATATYPE_INTEGER, true, null, tabids); addElement("scanComponentSpec", "sos", CHILD_POLICY_EMPTY); addAttribute("sos", "numScanComponents", DATATYPE_INTEGER, true, null, comps); addAttribute("sos", "startSpectralSelection", DATATYPE_INTEGER, false, "0", "0", "63", true, true); addAttribute("sos", "endSpectralSelection", DATATYPE_INTEGER, false, "63", "0", "63", true, true); addAttribute("sos", "approxHigh", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("sos", "approxLow", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("scanComponentSpec", "componentSelector", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("scanComponentSpec", "dcHuffTable", DATATYPE_INTEGER, true, null, tabids); addAttribute("scanComponentSpec", "acHuffTable", DATATYPE_INTEGER, true, null, tabids); }	long method	1. long method	t	t	t			0	10219	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/com/sun/imageio/plugins/jpeg/JPEGImageMetadataFormat.java/#L43-L338	1	3903	10219
2475	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String getVMPassword(final GetVMPasswordCmd cmd) { final Account caller = getCaller(); final UserVmVO vm = _userVmDao.findById(cmd.getId()); if (vm == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("No VM with specified id found."); ex.addProxyObject(cmd.getId().toString(), "vmId"); throw ex; } // make permission check _accountMgr.checkAccess(caller, null, true, vm); _userVmDao.loadDetails(vm); final String password = vm.getDetail("Encrypted.Password"); if (password == null || password.equals("")) { final InvalidParameterValueException ex = new InvalidParameterValueException( "No password for VM with specified id found. " + "If VM is created from password enabled template and SSH keypair is assigned to VM then only password can be retrieved."); ex.addProxyObject(vm.getUuid(), "vmId"); throw ex; } return password; }	long method	long method, data class	t	t	t	data class		0	14585	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/server/ManagementServerImpl.java/#L3807-L3831	1	2475	14585
2157	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Magic numbers 5. Inconsistent formatting 6. Poor naming conventions 7. Inadequate commenting 8. Inefficient use of conditional statements 9. Inefficient use of variables 10. Poor use of class hierarchy 11. Mixing of concerns.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void paintComponent(Graphics g) { XPStyle xp = XPStyle.getXP(); paintTitleBackground(g); String title = frame.getTitle(); if (title != null) { boolean isSelected = frame.isSelected(); Font oldFont = g.getFont(); Font newFont = (titleFont != null) ? titleFont : getFont(); g.setFont(newFont); // Center text vertically. FontMetrics fm = SwingUtilities2.getFontMetrics(frame, g, newFont); int baseline = (getHeight() + fm.getAscent() - fm.getLeading() - fm.getDescent()) / 2; Rectangle lastIconBounds = new Rectangle(0, 0, 0, 0); if (frame.isIconifiable()) { lastIconBounds = iconButton.getBounds(); } else if (frame.isMaximizable()) { lastIconBounds = maxButton.getBounds(); } else if (frame.isClosable()) { lastIconBounds = closeButton.getBounds(); } int titleX; int titleW; int gap = 2; if (WindowsGraphicsUtils.isLeftToRight(frame)) { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getWidth() - frame.getInsets().right; } titleX = systemLabel.getX() + systemLabel.getWidth() + gap; if (xp != null) { titleX += 2; } titleW = lastIconBounds.x - titleX - gap; } else { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getInsets().left; } titleW = SwingUtilities2.stringWidth(frame, fm, title); int minTitleX = lastIconBounds.x + lastIconBounds.width + gap; if (xp != null) { minTitleX += 2; } int availableWidth = systemLabel.getX() - gap - minTitleX; if (availableWidth > titleW) { titleX = systemLabel.getX() - gap - titleW; } else { titleX = minTitleX; titleW = availableWidth; } } title = getTitle(frame.getTitle(), fm, titleW); if (xp != null) { String shadowType = null; if (isSelected) { shadowType = xp.getString(this, Part.WP_CAPTION, State.ACTIVE, Prop.TEXTSHADOWTYPE); } if ("single".equalsIgnoreCase(shadowType)) { Point shadowOffset = xp.getPoint(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWOFFSET); Color shadowColor = xp.getColor(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWCOLOR, null); if (shadowOffset != null && shadowColor != null) { g.setColor(shadowColor); SwingUtilities2.drawString(frame, g, title, titleX + shadowOffset.x, baseline + shadowOffset.y); } } } g.setColor(isSelected ? selectedTextColor : notSelectedTextColor); SwingUtilities2.drawString(frame, g, title, titleX, baseline); g.setFont(oldFont); } }	long method	Long method2 Feature envy 3 Duplicate code 4 Magic numbers 5 Inconsistent formatting 6 Poor naming conventions 7 Inadequate commenting 8 Inefficient use of conditional statements 9 Inefficient use of variables	t	f	t			0	13311	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/windows/classes/com/sun/java/swing/plaf/windows/WindowsInternalFrameTitlePane.java/#L125-L205	2	2157	13311
361	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void Blit(SurfaceData src, SurfaceData dst, Composite comp, Region clip, int srcx, int srcy, int dstx, int dsty, int w, int h) { Raster srcRast = src.getRaster(srcx, srcy, w, h); IntegerComponentRaster icr = (IntegerComponentRaster) srcRast; int[] srcPix = icr.getDataStorage(); WritableRaster dstRast = (WritableRaster) dst.getRaster(dstx, dsty, w, h); ColorModel dstCM = dst.getColorModel(); Region roi = CustomComponent.getRegionOfInterest(src, dst, clip, srcx, srcy, dstx, dsty, w, h); SpanIterator si = roi.getSpanIterator(); Object dstPix = null; int srcScan = icr.getScanlineStride(); // assert(icr.getPixelStride() == 1); srcx -= dstx; srcy -= dsty; int[] span = new int[4]; while (si.nextSpan(span)) { int rowoff = (icr.getDataOffset(0) + (srcy + span[1]) * srcScan + (srcx + span[0])); for (int y = span[1]; y < span[3]; y++) { int off = rowoff; for (int x = span[0]; x < span[2]; x++) { dstPix = dstCM.getDataElements(srcPix[off++], dstPix); dstRast.setDataElements(x, y, dstPix); } rowoff += srcScan; } } // REMIND: We need to do something to make sure that dstRast // is put back to the destination (as in the native Release // function) // src.releaseRaster(srcRast); // NOP? // dst.releaseRaster(dstRast); }	long method	long method	t	t	t			0	3699	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/sun/java2d/loops/CustomComponent.java/#L171-L213	1	361	3699
2613	{"result": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int hashCode() { int hash = 37; if ( baseDn != null ) { hash = hash * 17 + baseDn.hashCode(); } hash = hash * 17 + aliasDerefMode.hashCode(); hash = hash * 17 + scope.hashCode(); hash = hash * 17 + Long.valueOf( sizeLimit ).hashCode(); hash = hash * 17 + timeLimit; hash = hash * 17 + ( typesOnly ? 0 : 1 ); if ( attributes != null ) { hash = hash * 17 + attributes.size(); // Order doesn't matter, thus just add hashCode for ( String attr : attributes ) { if ( attr != null ) { hash = hash + attr.hashCode(); } } } BranchNormalizedVisitor visitor = new BranchNormalizedVisitor(); filterNode.accept( visitor ); hash = hash * 17 + filterNode.toString().hashCode(); hash = hash * 17 + super.hashCode(); return hash; }	long method	1. long method	t	t	t			0	15043	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/message/SearchRequestImpl.java/#L373-L409	1	2613	15043
429	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	Long method2 Feature envy	t	f	t			0	4276	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	2	429	4276
1727	private boolean isDSAPublicKeyWithoutParams(PublicKey key) { if (key.getAlgorithm().equals("DSA")) { try { key.getEncoded(); return false; } catch (NullPointerException npe) { return true; YES I found bad smells the bad smells are: 1.Long method 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: /* update subject DN */ subjectDN = cert.getSubjectX500Principal(); /* check for key needing to inherit alg parameters */ X509CertImpl icert = X509CertImpl.toImpl(cert); PublicKey newKey = cert.getPublicKey(); if (PKIX.isDSAPublicKeyWithoutParams(newKey)) { newKey = BasicChecker.makeInheritedParamsKey(newKey, pubKey); } /* update subject public key */ pubKey = newKey; /* * if this is a trusted cert (init == true), then we * don't update any of the remaining fields */ if (init) { init = false; return; } /* update subject key identifier */ subjKeyId = icert.getSubjectKeyIdentifierExtension(); /* update crlSign */ crlSign = RevocationChecker.certCanSignCrl(cert); /* update current name constraints */ if (nc != null) { nc.merge(icert.getNameConstraintsExtension()); } else { nc = icert.getNameConstraintsExtension(); if (nc != null) { // Make sure we do a clone here, because we're probably // going to modify this object later and we don't want to // be sharing it with a Certificate object! nc = (NameConstraintsExtension) nc.clone(); } } /* update policy state variables */ explicitPolicy = PolicyChecker.mergeExplicitPolicy(explicitPolicy, icert, false); policyMapping = PolicyChecker.mergePolicyMapping(policyMapping, icert); inhibitAnyPolicy = PolicyChecker.mergeInhibitAnyPolicy(inhibitAnyPolicy, icert); certIndex++; /* * Update remaining CA certs */ remainingCACerts = ConstraintsChecker.mergeBasicConstraints(cert, remainingCACerts); init = false; } /** * Returns a boolean flag indicating if a key lacking necessary key * algorithm parameters has been encountered. * * @return boolean flag indicating if key lacking parameters encountered. */	long method	Long method2Feature envy	t	f	t			0	11810	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/provider/certpath/ReverseState.java/#L284-L348	2	1727	11810
964	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Code duplication 4. Logging throughout the method 5. Throwable catch-all 6. Insufficient comments/documentation 7. Multiple nested levels of code 8. Debug flag usage 9. Non-descriptive variable names 10. Commented-out code 11. Unused/unnecessary imports 12. Dependency injection used only for testing purposes	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("unchecked") private void extractDataAndSave(IBatchDAO batchDAO) { if (logger.isDebugEnabled()) { logger.debug("Extract data and save"); } long startTime = System.currentTimeMillis(); try { HistogramMetric.Timer timer = prepareLatency.createTimer(); List batchAllCollection = new LinkedList(); try { List persistenceWorkers = new ArrayList<>(); persistenceWorkers.addAll(IndicatorProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(RecordProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(TopNProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.forEach(worker -> { if (logger.isDebugEnabled()) { logger.debug("extract {} worker data and save", worker.getClass().getName()); } if (worker.flushAndSwitch()) { List batchCollection = worker.buildBatchCollection(); if (logger.isDebugEnabled()) { logger.debug("extract {} worker data size: {}", worker.getClass().getName(), batchCollection.size()); } batchAllCollection.addAll(batchCollection); } }); if (debug) { logger.info("build batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } } finally { timer.finish(); } HistogramMetric.Timer executeLatencyTimer = executeLatency.createTimer(); try { batchDAO.batchPersistence(batchAllCollection); } finally { executeLatencyTimer.finish(); } } catch (Throwable e) { errorCounter.inc(); logger.error(e.getMessage(), e); } finally { if (logger.isDebugEnabled()) { logger.debug("persistence data save finish"); } } if (debug) { logger.info("batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } }	long method	Long method 2 Feature envy 3 Code duplication 4 Logging throughout the method 5 Throwable catch-all 6 Insufficient comments/documentation 7 Multiple nested levels of code 8 Debug flag usage 9 Non-descriptive variable names	t	f	t			0	8595	https://github.com/apache/incubator-skywalking/blob/32c4bced8a7e055003d6e4bea0fd8f8361bec8e5/oap-server/server-core/src/main/java/org/apache/skywalking/oap/server/core/storage/PersistenceTimer.java/#L72-L129	2	964	8595
4765	{ "output": "YES I found bad smells the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void createButtonGroup( Group grpTop ) { btnAdd = new Button( grpTop, SWT.NONE ); { btnAdd.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Add" ) ); //$NON-NLS-1$ btnAdd.addSelectionListener( this ); } newMarkerEditor = new MarkerEditorComposite( grpTop, createMarker( ), getContext( ), getDefaultMarker( ) ); if ( markerTypeSet != null ) { newMarkerEditor.setSupportedMarkerTypes( markerTypeSet ); } if ( outlineText != null ) { newMarkerEditor.setOutlineText( outlineText ); } btnRemove = new Button( grpTop, SWT.NONE ); { btnRemove.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Remove" ) ); //$NON-NLS-1$ btnRemove.addSelectionListener( this ); } btnUp = new Button( grpTop, SWT.ARROW | SWT.UP ); { btnUp.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Up" ) ); //$NON-NLS-1$ btnUp.addSelectionListener( this ); } btnDown = new Button( grpTop, SWT.ARROW | SWT.DOWN ); { btnDown.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Down" ) ); //$NON-NLS-1$ btnDown.addSelectionListener( this ); } }	long method	1. long method	t	t	t			0	12825	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/wizard/format/popup/series/LineSeriesMarkerSheet.java/#L402-L440	1	4765	12825
1834	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Explanation explain(LeafReaderContext context, int doc) throws IOException { Scorer scorer = scorer(context); if (scorer != null) { int newDoc = scorer.iterator().advance(doc); if (newDoc == doc) { final float freq; if (scorer instanceof BM25FScorer) { freq = ((BM25FScorer) scorer).freq(); } else { assert scorer instanceof TermScorer; freq = ((TermScorer) scorer).freq(); } final MultiNormsLeafSimScorer docScorer = new MultiNormsLeafSimScorer(simWeight, context.reader(), fieldAndWeights.values(), true); Explanation freqExplanation = Explanation.match(freq, "termFreq=" + freq); Explanation scoreExplanation = docScorer.explain(doc, freqExplanation); return Explanation.match( scoreExplanation.getValue(), "weight(" + getQuery() + " in " + doc + ") [" + similarity.getClass().getSimpleName() + "], result of:", scoreExplanation); } } return Explanation.noMatch("no matching term"); }	long method	Long method2 Feature envy	t	f	t			0	12132	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/sandbox/src/java/org/apache/lucene/search/BM25FQuery.java/#L308-L333	2	1834	12132
1287	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static void copyDirectory(final File srcDir, final File destDir) throws IOException { if (srcDir == null) { throw new NullPointerException("Source must not be null"); } if (destDir == null) { throw new NullPointerException("Destination must not be null"); } if (!srcDir.exists()) { throw new FileNotFoundException("Source '" + srcDir + "' does not exist"); } if (!srcDir.isDirectory()) { throw new IOException("Source '" + srcDir + "' exists but is not a directory"); } if (srcDir.getCanonicalPath().equals(destDir.getCanonicalPath())) { throw new IOException("Source '" + srcDir + "' and destination '" + destDir + "' are the same"); } // Cater for destination being directory within the source directory (see IO-141) List exclusionList = null; if (destDir.getCanonicalPath().startsWith(srcDir.getCanonicalPath())) { final File[] srcFiles = srcDir.listFiles(); if (srcFiles != null && srcFiles.length > 0) { exclusionList = new ArrayList<>(srcFiles.length); for (final File srcFile : srcFiles) { final File copiedFile = new File(destDir, srcFile.getName()); exclusionList.add(copiedFile.getCanonicalPath()); } } } doCopyDirectory(srcDir, destDir, exclusionList); }	long method	1. long method	t	t	t			0	10613	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-loader/src/main/java/org/apache/openejb/loader/IO.java/#L193-L223	1	1287	10613
780	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public ClientListenerResponse doHandle(OdbcRequest req) { if (!busyLock.enterBusy()) return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Failed to handle ODBC request because node is stopping: " + req); if (actx != null) AuthorizationContext.context(actx); try { switch (req.command()) { case QRY_EXEC: return executeQuery((OdbcQueryExecuteRequest)req); case QRY_EXEC_BATCH: return executeBatchQuery((OdbcQueryExecuteBatchRequest)req); case STREAMING_BATCH: return dispatchBatchOrdered((OdbcStreamingBatchRequest)req); case QRY_FETCH: return fetchQuery((OdbcQueryFetchRequest)req); case QRY_CLOSE: return closeQuery((OdbcQueryCloseRequest)req); case META_COLS: return getColumnsMeta((OdbcQueryGetColumnsMetaRequest)req); case META_TBLS: return getTablesMeta((OdbcQueryGetTablesMetaRequest)req); case META_PARAMS: return getParamsMeta((OdbcQueryGetParamsMetaRequest)req); case MORE_RESULTS: return moreResults((OdbcQueryMoreResultsRequest)req); } return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Unsupported ODBC request: " + req); } finally { AuthorizationContext.clear(); busyLock.leaveBusy(); } }	long method	long method, blob	t	t	t	blob		0	7455	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/odbc/odbc/OdbcRequestHandler.java/#L221-L266	1	780	7455
1898	YES found bad smells Amongst the bad smells found are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final EObject ruleXOtherOperatorExpression() throws RecognitionException { EObject current = null; EObject this_XAdditiveExpression_0 = null; EObject lv_rightOperand_3_0 = null; enterRule(); try { // InternalXbase.g:873:2: ( (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) ) // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) { // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) // InternalXbase.g:875:3: this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getXAdditiveExpressionParserRuleCall_0()); } pushFollow(FOLLOW_14); this_XAdditiveExpression_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current = this_XAdditiveExpression_0; afterParserOrEnumRuleCall(); } // InternalXbase.g:883:3: ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* loop11: do { int alt11=2; alt11 = dfa11.predict(input); switch (alt11) { case 1 : // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) { // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) // InternalXbase.g:885:5: ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) { // InternalXbase.g:895:5: ( () ( ( ruleOpOther ) ) ) // InternalXbase.g:896:6: () ( ( ruleOpOther ) ) { // InternalXbase.g:896:6: () // InternalXbase.g:897:7: { if ( state.backtracking==0 ) { current = forceCreateModelElementAndSet( grammarAccess.getXOtherOperatorExpressionAccess().getXBinaryOperationLeftOperandAction_1_0_0_0(), current); } } // InternalXbase.g:903:6: ( ( ruleOpOther ) ) // InternalXbase.g:904:7: ( ruleOpOther ) { // InternalXbase.g:904:7: ( ruleOpOther ) // InternalXbase.g:905:8: ruleOpOther { if ( state.backtracking==0 ) { if (current==null) { current = createModelElement(grammarAccess.getXOtherOperatorExpressionRule()); } } if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getFeatureJvmIdentifiableElementCrossReference_1_0_0_1_0()); } pushFollow(FOLLOW_4); ruleOpOther(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { afterParserOrEnumRuleCall(); } } } } } // InternalXbase.g:921:4: ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) { // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) // InternalXbase.g:923:6: lv_rightOperand_3_0= ruleXAdditiveExpression { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getRightOperandXAdditiveExpressionParserRuleCall_1_1_0()); } pushFollow(FOLLOW_14); lv_rightOperand_3_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { if (current==null) { current = createModelElementForParent(grammarAccess.getXOtherOperatorExpressionRule()); } set( current, "rightOperand", lv_rightOperand_3_0, "org.eclipse.xtext.xbase.Xbase.XAdditiveExpression"); afterParserOrEnumRuleCall(); } } } } break; default : break loop11; } } while (true); } } if ( state.backtracking==0 ) { leaveRule(); } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	Long method2 Feature envy	t	f	t			0	12351	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/parser/antlr/internal/InternalXbaseParser.java/#L2675-L2841	2	1898	12351
281	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Primitive obsession 4. Use of magic numbers 5. Inconsistent formatting 6. Mixing of business logic and presentation (the use of LOGGER to output an error message) 7. Potential null pointer exception (if maxFiles is null)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public DirectWriteRolloverStrategy build() { int maxIndex = Integer.MAX_VALUE; if (maxFiles != null) { maxIndex = Integer.parseInt(maxFiles); if (maxIndex < 0) { maxIndex = Integer.MAX_VALUE; } else if (maxIndex < 2) { LOGGER.error("Maximum files too small. Limited to " + DEFAULT_MAX_FILES); maxIndex = DEFAULT_MAX_FILES; } } final int compressionLevel = Integers.parseInt(compressionLevelStr, Deflater.DEFAULT_COMPRESSION); return new DirectWriteRolloverStrategy(maxIndex, compressionLevel, config.getStrSubstitutor(), customActions, stopCustomActionsOnError, tempCompressedFilePattern); }	long method	Long method2 Feature envy3 Primitive obsession4 Use of magic numbers5 Inconsistent formatting 6 Mixing of business logic and presentation (the use of LOGGER to output an error message) 7 Potential null pointer exception (if maxFiles is null)	t	f	t			0	3011	https://github.com/apache/logging-log4j2/blob/9b6bb237ae8771ffbf6d61ed07b0acb4f4dc2da6/log4j-core/src/main/java/org/apache/logging/log4j/core/appender/rolling/DirectWriteRolloverStrategy.java/#L84-L99	2	281	3011
1006	{"response": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void configure(TestElement el) { setName(el.getName()); Arguments arguments = (Arguments) el.getProperty(HTTPSamplerBase.ARGUMENTS).getObjectValue(); boolean useRaw = el.getPropertyAsBoolean(HTTPSamplerBase.POST_BODY_RAW, HTTPSamplerBase.POST_BODY_RAW_DEFAULT); if(useRaw) { String postBody = computePostBody(arguments, true); // Convert CRLF to CR, see modifyTestElement postBodyContent.setInitialText(postBody); postBodyContent.setCaretPosition(0); argsPanel.clear(); postContentTabbedPane.setSelectedIndex(tabRawBodyIndex, false); } else { postBodyContent.setInitialText(""); argsPanel.configure(arguments); postContentTabbedPane.setSelectedIndex(TAB_PARAMETERS, false); } if(showFileUploadPane) { filesPanel.configure(el); } domain.setText(el.getPropertyAsString(HTTPSamplerBase.DOMAIN)); String portString = el.getPropertyAsString(HTTPSamplerBase.PORT); // Only display the port number if it is meaningfully specified if (portString.equals(HTTPSamplerBase.UNSPECIFIED_PORT_AS_STRING)) { port.setText(""); // $NON-NLS-1$ } else { port.setText(portString); } protocol.setText(el.getPropertyAsString(HTTPSamplerBase.PROTOCOL)); contentEncoding.setText(el.getPropertyAsString(HTTPSamplerBase.CONTENT_ENCODING)); path.setText(el.getPropertyAsString(HTTPSamplerBase.PATH)); if (notConfigOnly){ method.setText(el.getPropertyAsString(HTTPSamplerBase.METHOD)); followRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.FOLLOW_REDIRECTS)); autoRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.AUTO_REDIRECTS)); useKeepAlive.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.USE_KEEPALIVE)); useMultipart.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.DO_MULTIPART_POST)); useBrowserCompatibleMultipartMode.setSelected(el.getPropertyAsBoolean( HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART, HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART_MODE_DEFAULT)); } }	long method	1. long method	t	t	t			0	9258	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/protocol/http/org/apache/jmeter/protocol/http/config/gui/UrlConfigGui.java/#L272-L314	1	1006	9258
2053	{"output": "YES I found bad smells\nthe bad smells are:\n1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void testBug56655a() throws IOException { try (Workbook wb = _testDataProvider.createWorkbook()) { Sheet sheet = wb.createSheet(); setCellFormula(sheet, 0, 0, "B1*C1"); sheet.getRow(0).createCell(1).setCellValue("A"); setCellFormula(sheet, 1, 0, "B1*C1"); sheet.getRow(1).createCell(1).setCellValue("A"); setCellFormula(sheet, 0, 3, "SUMIFS(A:A,A:A,A2)"); wb.getCreationHelper().createFormulaEvaluator().evaluateAll(); assertEquals(CellType.ERROR, getCell(sheet, 0, 0).getCachedFormulaResultType()); assertEquals(FormulaError.VALUE.getCode(), getCell(sheet, 0, 0).getErrorCellValue()); assertEquals(CellType.ERROR, getCell(sheet, 1, 0).getCachedFormulaResultType()); assertEquals(FormulaError.VALUE.getCode(), getCell(sheet, 1, 0).getErrorCellValue()); assertEquals(CellType.ERROR, getCell(sheet, 0, 3).getCachedFormulaResultType()); assertEquals(FormulaError.VALUE.getCode(), getCell(sheet, 0, 3).getErrorCellValue()); } }	long method	\n1. long method	t	t	f		long method	0	12903	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/testcases/org/apache/poi/ss/usermodel/BaseTestFormulaEvaluator.java/#L551-L571	1	2053	12903
1437	YES, I found bad smells the bad smells are: 1. Long method 2. Duplicate code (repetitive use of "if" and "else" statements) 3. Primitive obsession (hard-coded string literals and checks for null instead of proper data types)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	Long method2 Duplicate code (repetitive use of "if" and "else" statements)3 Primitive obsession (hard-coded string literals and checks for null instead of proper data types)	t	f	t			0	10965	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	2	1437	10965
869	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: final protected Node internalRemoveNamedItemNS(String namespaceURI, String name, boolean raiseEx) { CoreDocumentImpl ownerDocument = ownerNode.ownerDocument(); if (ownerDocument.errorChecking && isReadOnly()) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NO_MODIFICATION_ALLOWED_ERR", null); throw new DOMException(DOMException.NO_MODIFICATION_ALLOWED_ERR, msg); } int i = findNamePoint(namespaceURI, name); if (i < 0) { if (raiseEx) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NOT_FOUND_ERR", null); throw new DOMException(DOMException.NOT_FOUND_ERR, msg); } else { return null; } } AttrImpl n = (AttrImpl)nodes.get(i); if (n.isIdAttribute()) { ownerDocument.removeIdentifier(n.getValue()); } // If there's a default, add it instead String nodeName = n.getNodeName(); if (hasDefaults()) { NamedNodeMapImpl defaults = ((ElementImpl) ownerNode).getDefaultAttributes(); Node d; if (defaults != null && (d = defaults.getNamedItem(nodeName)) != null) { int j = findNamePoint(nodeName,0); if (j>=0 && findNamePoint(nodeName, j+1) < 0) { NodeImpl clone = (NodeImpl)d.cloneNode(true); clone.ownerNode = ownerNode; if (d.getLocalName() != null) { // we must rely on the name to find a default attribute // ("test:attr"), but while copying it from the DOCTYPE // we should not loose namespace URI that was assigned // to the attribute in the instance document. ((AttrNSImpl)clone).namespaceURI = namespaceURI; } clone.isOwned(true); clone.isSpecified(false); nodes.set(i, clone); if (clone.isIdAttribute()) { ownerDocument.putIdentifier(clone.getNodeValue(), (ElementImpl)ownerNode); } } else { nodes.remove(i); } } else { nodes.remove(i); } } else { nodes.remove(i); } // changed(true); // remove reference to owner n.ownerNode = ownerDocument; n.isOwned(false); // make sure it won't be mistaken with defaults in case it's // reused n.isSpecified(true); // update id table if needed n.isIdAttribute(false); // notify document ownerDocument.removedAttrNode(n, ownerNode, name); return n; } // internalRemoveNamedItemNS(String,String,boolean):Node	long method	long method	t	t	t			0	7948	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/dom/AttributeMap.java/#L391-L467	1	869	7948
1796	{"answer": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static Class stringToClass(String klass) throws FrontendException { if ("string".equalsIgnoreCase(klass)) { return String.class; } else if ("int".equalsIgnoreCase(klass)) { return Integer.TYPE; } else if ("double".equalsIgnoreCase(klass)) { return Double.TYPE; } else if ("float".equalsIgnoreCase(klass)){ return Float.TYPE; } else if ("long".equalsIgnoreCase(klass)) { return Long.TYPE; } else if ("double[]".equalsIgnoreCase(klass)) { return DOUBLE_ARRAY_CLASS; } else if ("int[]".equalsIgnoreCase(klass)) { return INT_ARRAY_CLASS; } else if ("long[]".equalsIgnoreCase(klass)) { return LONG_ARRAY_CLASS; } else if ("float[]".equalsIgnoreCase(klass)) { return FLOAT_ARRAY_CLASS; } else if ("string[]".equalsIgnoreCase(klass)) { return STRING_ARRAY_CLASS; } else { throw new FrontendException("unable to find matching class for " + klass); } }	long method	long method	t	t	t			0	11999	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/builtin/Invoker.java/#L113-L138	1	1796	11999
1140	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void transform(XtendConstructor source, JvmGenericType container) { JvmConstructor constructor = typesFactory.createJvmConstructor(); container.getMembers().add(constructor); associator.associatePrimary(source, constructor); JvmVisibility visibility = source.getVisibility(); constructor.setSimpleName(container.getSimpleName()); constructor.setVisibility(visibility); for (XtendParameter parameter : source.getParameters()) { translateParameter(constructor, parameter); } copyAndFixTypeParameters(source.getTypeParameters(), constructor); for (JvmTypeReference exception : source.getExceptions()) { constructor.getExceptions().add(jvmTypesBuilder.cloneWithProxies(exception)); } translateAnnotationsTo(source.getAnnotations(), constructor); setBody(constructor, source.getExpression()); jvmTypesBuilder.copyDocumentationTo(source, constructor); }	long method	blob, long method	t	t	t	blob		0	10089	https://github.com/eclipse/xtext-xtend/blob/20500a324127e3ee73cb793a13430ee140246fa7/org.eclipse.xtend.core/src/org/eclipse/xtend/core/jvmmodel/XtendJvmModelInferrer.java/#L721-L738	1	1140	10089
1796	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static Class stringToClass(String klass) throws FrontendException { if ("string".equalsIgnoreCase(klass)) { return String.class; } else if ("int".equalsIgnoreCase(klass)) { return Integer.TYPE; } else if ("double".equalsIgnoreCase(klass)) { return Double.TYPE; } else if ("float".equalsIgnoreCase(klass)){ return Float.TYPE; } else if ("long".equalsIgnoreCase(klass)) { return Long.TYPE; } else if ("double[]".equalsIgnoreCase(klass)) { return DOUBLE_ARRAY_CLASS; } else if ("int[]".equalsIgnoreCase(klass)) { return INT_ARRAY_CLASS; } else if ("long[]".equalsIgnoreCase(klass)) { return LONG_ARRAY_CLASS; } else if ("float[]".equalsIgnoreCase(klass)) { return FLOAT_ARRAY_CLASS; } else if ("string[]".equalsIgnoreCase(klass)) { return STRING_ARRAY_CLASS; } else { throw new FrontendException("unable to find matching class for " + klass); } }	long method	Long method 2 Feature envy	t	f	t			0	11999	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/builtin/Invoker.java/#L113-L138	2	1796	11999
934	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected float removeInstanceTime(InstanceTime time, boolean isBegin) { // Trace.enter(this, "removeInstanceTime", new Object[] { time, new Boolean(isBegin) } ); try { hasPropagated = true; List instanceTimes = isBegin ? beginInstanceTimes : endInstanceTimes; int index = Collections.binarySearch(instanceTimes, time); for (int i = index; i >= 0; i--) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } int len = instanceTimes.size(); for (int i = index + 1; i < len; i++) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } shouldUpdateCurrentInterval = true; float ret; if (root.isSampling() && !isSampling) { ret = sampleAt(root.getCurrentTime(), root.isHyperlinking()); } else { ret = Float.POSITIVE_INFINITY; } hasPropagated = false; root.currentIntervalWillUpdate(); return ret; // } finally { Trace.exit(); } }	long method	long method	t	t	t			0	8390	https://github.com/apache/batik/blob/8b9b758641a11c43c4e9493386268fa0dc5c7efb/batik-anim/src/main/java/org/apache/batik/anim/timing/TimedElement.java/#L306-L343	1	934	8390
507	{"message":"YES I found bad smells","bad smells":["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void registerProjectsToFileBasedWorkspace(Iterable projectURIs, FileBasedWorkspace workspace) throws N4JSCompileException { // TODO GH-783 refactor FileBasedWorkspace, https://github.com/eclipse/n4js/issues/783 // this is reverse mapping of the one that is kept in the workspace Map registeredProjects = new HashMap<>(); workspace.getAllProjectLocationsIterator().forEachRemaining(uri -> { String projectName = workspace.getProjectDescription(uri).getProjectName(); registeredProjects.put(projectName, URIUtils.normalize(uri)); }); // register all projects with the file based workspace. for (URI uri : projectURIs) { URI projectURI = URIUtils.normalize(uri); final ProjectDescription projectDescription = projectDescriptionLoader .loadProjectDescriptionAtLocation(projectURI); if (projectDescription == null) { throw new N4JSCompileException( "Cannot load project description for project at " + projectURI.toFileString() + ". Make sure the project contains a valid package.json file."); } final String projectName = projectDescription.getProjectName(); if (skipRegistering(projectName, projectURI, registeredProjects)) { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Skipping already registered project '" + projectURI + "'"); } /* * We could call FileBasedWorkspace.registerProject which would fail silently. Still to avoid potential * side effects and to keep {@code registeredProjects} management simpler,we will skip it explicitly. */ continue; } try { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Registering project '" + projectURI + "'"); } workspace.registerProject(projectURI); registeredProjects.put(projectName, projectURI); } catch (N4JSBrokenProjectException e) { throw new N4JSCompileException("Unable to register project '" + projectURI + "'", e); } } }	long method	1. long method	t	t	f		long method	0	5156	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.generator.headless/src/org/eclipse/n4js/generator/headless/HeadlessHelper.java/#L82-L129	1	507	5156
1635	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void handleRemainder() { final int remainingRecordCount = incoming.getRecordCount() - remainderIndex; assert this.memoryManager.incomingBatch == incoming; final int recordsToProcess = Math.min(remainingRecordCount, memoryManager.getOutputRowCount()); if (!doAlloc(recordsToProcess)) { outOfMemory = true; return; } logger.trace("handleRemainder: remaining RC {}, toProcess {}, remainder index {}, incoming {}, Project {}", remainingRecordCount, recordsToProcess, remainderIndex, incoming, this); long projectStartTime = System.currentTimeMillis(); final int projRecords = projector.projectRecords(this.incoming, remainderIndex, recordsToProcess, 0); long projectEndTime = System.currentTimeMillis(); logger.trace("handleRemainder: projection: records {}, time {} ms", projRecords,(projectEndTime - projectStartTime)); if (projRecords < remainingRecordCount) { setValueCount(projRecords); this.recordCount = projRecords; remainderIndex += projRecords; } else { setValueCount(remainingRecordCount); hasRemainder = false; remainderIndex = 0; for (final VectorWrapper v : incoming) { v.clear(); } this.recordCount = remainingRecordCount; } // In case of complex writer expression, vectors would be added to batch run-time. // We have to re-build the schema. if (complexWriters != null) { container.buildSchema(SelectionVectorMode.NONE); } memoryManager.updateOutgoingStats(projRecords); RecordBatchStats.logRecordBatchStats(RecordBatchIOType.OUTPUT, this, getRecordBatchStatsContext()); }	long method	Long method2 Feature envy	t	f	t			0	11522	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/project/ProjectRecordBatch.java/#L259-L299	2	1635	11522
5638	YES I found bad smells the bad smells are: 1. Long Method 2. Feature Envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void setOptionalAttribute(BeanDefinitionBuilder builder, Map providedProperties, String propertyPrefix, String attributeValue, String attributeName) { String propertyKey; if ("username".equals(attributeName)) { String userKey = (propertyPrefix != null ? propertyPrefix + "user" : "user"); if (providedProperties.containsKey(userKey)) { propertyKey = userKey; } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeName : attributeName); } } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeToPropertyMap.get(attributeName) : attributeToPropertyMap.get(attributeName)); } if (StringUtils.hasText(attributeValue)) { if (logger.isDebugEnabled()) { if ("password".equals(attributeName)) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value ******"); } else { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value " + attributeValue); } } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), attributeValue); } else if (providedProperties.containsKey(propertyKey)) { if (logger.isDebugEnabled()) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with property value " + ("password".equals(attributeName) ? "******" : providedProperties.get(propertyKey))); } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), providedProperties.get(propertyKey)); } removeProvidedProperty(providedProperties, propertyKey); }	long method	Long Method2 Feature Envy	t	f	t			0	10869	https://github.com/spring-projects/spring-data-jdbc-ext/blob/9f19335f6f776ad36158cfaa0f5aad64333ce988/spring-data-oracle/src/main/java/org/springframework/data/jdbc/config/oracle/PoolingDataSourceBeanDefinitionParser.java/#L341-L388	1	5638	10869
561	YES, I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String toString() { if (subject == null || pubKey == null || interval == null || issuer == null || algId == null || serialNum == null) { throw new NullPointerException("X.509 cert is incomplete"); } StringBuilder sb = new StringBuilder(); sb.append("[\n"); sb.append(" " + version.toString() + "\n"); sb.append(" Subject: " + subject.toString() + "\n"); sb.append(" Signature Algorithm: " + algId.toString() + "\n"); sb.append(" Key: " + pubKey.toString() + "\n"); sb.append(" " + interval.toString() + "\n"); sb.append(" Issuer: " + issuer.toString() + "\n"); sb.append(" " + serialNum.toString() + "\n"); // optional v2, v3 extras if (issuerUniqueId != null) { sb.append(" Issuer Id:\n" + issuerUniqueId.toString() + "\n"); } if (subjectUniqueId != null) { sb.append(" Subject Id:\n" + subjectUniqueId.toString() + "\n"); } if (extensions != null) { Collection allExts = extensions.getAllExtensions(); Extension[] exts = allExts.toArray(new Extension[0]); sb.append("\nCertificate Extensions: " + exts.length); for (int i = 0; i < exts.length; i++) { sb.append("\n[" + (i+1) + "]: "); Extension ext = exts[i]; try { if (OIDMap.getClass(ext.getExtensionId()) == null) { sb.append(ext.toString()); byte[] extValue = ext.getExtensionValue(); if (extValue != null) { DerOutputStream out = new DerOutputStream(); out.putOctetString(extValue); extValue = out.toByteArray(); HexDumpEncoder enc = new HexDumpEncoder(); sb.append("Extension unknown: " + "DER encoded OCTET string =\n" + enc.encodeBuffer(extValue) + "\n"); } } else sb.append(ext.toString()); //sub-class exists } catch (Exception e) { sb.append(", Error parsing this extension"); } } Map invalid = extensions.getUnparseableExtensions(); if (invalid.isEmpty() == false) { sb.append("\nUnparseable certificate extensions: " + invalid.size()); int i = 1; for (Extension ext : invalid.values()) { sb.append("\n[" + (i++) + "]: "); sb.append(ext); } } } sb.append("\n]"); return sb.toString(); }	long method	Long method	t	f	t			0	5662	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/x509/X509CertInfo.java/#L292-L354	2	561	5662
2021	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	long method	t	t	t			0	12790	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	1	2021	12790
1933	YES I found bad smells the bad smells are: 1.Long method, 2. Feature envy, 3. Code duplication.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void widgetSelected( SelectionEvent e ) { Object widget = e.widget; if ( widget == btnVisible ) { // Notify Listeners that a change has occurred in the value fireValueChangedEvent( GanttLineAttributesComposite.VISIBILITY_CHANGED_EVENT, Boolean.valueOf( btnVisible.getSelectionState( ) == ChartCheckbox.STATE_SELECTED ), ( btnVisible.getSelectionState( ) == ChartCheckbox.STATE_GRAYED ) ? ChartUIExtensionUtil.PROPERTY_UNSET : ChartUIExtensionUtil.PROPERTY_UPDATE ); // Notification may cause this class disposed if ( isDisposed( ) ) { return; } // Enable/Disable UI Elements boolean bEnableUI = context.getUIFactory( ).canEnableUI( btnVisible ); if ( bEnableStyles ) { lblStyle.setEnabled( bEnableUI ); cmbStyle.setEnabled( bEnableUI ); } if ( bEnableWidths ) { lblWidth.setEnabled( bEnableUI ); iscWidth.setEnabled( bEnableUI ); } if ( bEnableColor ) { lblColor.setEnabled( bEnableUI ); cmbColor.setEnabled( bEnableUI ); } } }	long method	Long method, 2 Feature envy, 3 Code duplication	t	f	t	2. Feature envy, 3. Code duplication.		0	12457	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/composites/GanttLineAttributesComposite.java/#L365-L398	2	1933	12457
2268	{"response": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("unchecked") protected Map>[] handleBulkLoad(List sTableList) throws IOException { Map>[] mapForSrc = new Map[sTableList.size()]; List activeFiles = new ArrayList<>(); List archiveFiles = new ArrayList<>(); Pair>>>>, List> pair = backupManager.readBulkloadRows(sTableList); Map>>>> map = pair.getFirst(); FileSystem tgtFs; try { tgtFs = FileSystem.get(new URI(backupInfo.getBackupRootDir()), conf); } catch (URISyntaxException use) { throw new IOException("Unable to get FileSystem", use); } Path rootdir = FSUtils.getRootDir(conf); Path tgtRoot = new Path(new Path(backupInfo.getBackupRootDir()), backupId); for (Map.Entry>>>> tblEntry : map.entrySet()) { TableName srcTable = tblEntry.getKey(); int srcIdx = getIndex(srcTable, sTableList); if (srcIdx < 0) { LOG.warn("Couldn't find " + srcTable + " in source table List"); continue; } if (mapForSrc[srcIdx] == null) { mapForSrc[srcIdx] = new TreeMap<>(Bytes.BYTES_COMPARATOR); } Path tblDir = FSUtils.getTableDir(rootdir, srcTable); Path tgtTable = new Path(new Path(tgtRoot, srcTable.getNamespaceAsString()), srcTable.getQualifierAsString()); for (Map.Entry>>> regionEntry : tblEntry.getValue().entrySet()){ String regionName = regionEntry.getKey(); Path regionDir = new Path(tblDir, regionName); // map from family to List of hfiles for (Map.Entry>> famEntry : regionEntry.getValue().entrySet()) { String fam = famEntry.getKey(); Path famDir = new Path(regionDir, fam); List files; if (!mapForSrc[srcIdx].containsKey(Bytes.toBytes(fam))) { files = new ArrayList<>(); mapForSrc[srcIdx].put(Bytes.toBytes(fam), files); } else { files = mapForSrc[srcIdx].get(Bytes.toBytes(fam)); } Path archiveDir = HFileArchiveUtil.getStoreArchivePath(conf, srcTable, regionName, fam); String tblName = srcTable.getQualifierAsString(); Path tgtFam = new Path(new Path(tgtTable, regionName), fam); if (!tgtFs.mkdirs(tgtFam)) { throw new IOException("couldn't create " + tgtFam); } for (Pair fileWithState : famEntry.getValue()) { String file = fileWithState.getFirst(); int idx = file.lastIndexOf("/"); String filename = file; if (idx > 0) { filename = file.substring(idx+1); } Path p = new Path(famDir, filename); Path tgt = new Path(tgtFam, filename); Path archive = new Path(archiveDir, filename); if (fs.exists(p)) { if (LOG.isTraceEnabled()) { LOG.trace("found bulk hfile " + file + " in " + famDir + " for " + tblName); } if (LOG.isTraceEnabled()) { LOG.trace("copying " + p + " to " + tgt); } activeFiles.add(p.toString()); } else if (fs.exists(archive)){ LOG.debug("copying archive " + archive + " to " + tgt); archiveFiles.add(archive.toString()); } files.add(tgt); } } } } copyBulkLoadedFiles(activeFiles, archiveFiles); backupManager.deleteBulkLoadedRows(pair.getSecond()); return mapForSrc; }	long method	long method, feature envy	t	t	t	feature envy		0	13747	https://github.com/apache/hbase/blob/44f8abd5c65c59e9d09f6ad14b3c825f145d8e4f/hbase-backup/src/main/java/org/apache/hadoop/hbase/backup/impl/IncrementalTableBackupClient.java/#L115-L201	1	2268	13747
2127	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private TtmlRegion parseRegionAttributes( XmlPullParser xmlParser, CellResolution cellResolution, TtsExtent ttsExtent) { String regionId = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_ID); if (regionId == null) { return null; } float position; float line; String regionOrigin = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_ORIGIN); if (regionOrigin != null) { Matcher originPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionOrigin); Matcher originPixelMatcher = PIXEL_COORDINATES.matcher(regionOrigin); if (originPercentageMatcher.matches()) { try { position = Float.parseFloat(originPercentageMatcher.group(1)) / 100f; line = Float.parseFloat(originPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else if (originPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int width = Integer.parseInt(originPixelMatcher.group(1)); int height = Integer.parseInt(originPixelMatcher.group(2)); // Convert pixel values to fractions. position = width / (float) ttsExtent.width; line = height / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an origin"); return null; // TODO: Should default to top left as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Origin is omitted. Default to top left. // position = 0; // line = 0; } float width; float height; String regionExtent = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_EXTENT); if (regionExtent != null) { Matcher extentPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionExtent); Matcher extentPixelMatcher = PIXEL_COORDINATES.matcher(regionExtent); if (extentPercentageMatcher.matches()) { try { width = Float.parseFloat(extentPercentageMatcher.group(1)) / 100f; height = Float.parseFloat(extentPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else if (extentPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int extentWidth = Integer.parseInt(extentPixelMatcher.group(1)); int extentHeight = Integer.parseInt(extentPixelMatcher.group(2)); // Convert pixel values to fractions. width = extentWidth / (float) ttsExtent.width; height = extentHeight / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an extent"); return null; // TODO: Should default to extent of parent as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Extent is omitted. Default to extent of parent. // width = 1; // height = 1; } @Cue.AnchorType int lineAnchor = Cue.ANCHOR_TYPE_START; String displayAlign = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_DISPLAY_ALIGN); if (displayAlign != null) { switch (Util.toLowerInvariant(displayAlign)) { case "center": lineAnchor = Cue.ANCHOR_TYPE_MIDDLE; line += height / 2; break; case "after": lineAnchor = Cue.ANCHOR_TYPE_END; line += height; break; default: // Default "before" case. Do nothing. break; } } float regionTextHeight = 1.0f / cellResolution.rows; return new TtmlRegion( regionId, position, line, /* lineType= */ Cue.LINE_TYPE_FRACTION, lineAnchor, width, /* textSizeType= */ Cue.TEXT_SIZE_TYPE_FRACTIONAL_IGNORE_PADDING, /* textSize= */ regionTextHeight); }	long method	Long method2 Feature envy	t	f	t			0	13223	https://github.com/google/ExoPlayer/blob/4bc79c9465abd00e29ff576c5f7a7517be632f5a/library/core/src/main/java/com/google/android/exoplayer2/text/ttml/TtmlDecoder.java/#L311-L434	2	2127	13223
1523	{ "message": "YES I found bad smells", "bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: if (hasCommandlineArgs()) { arguments = parseCommandlineArgs(); } try { Iterator iter = this.determineRelevantPluginDependencies().iterator(); while (iter.hasNext()) { Artifact classPathElement = iter.next(); // we must skip org.osgi.core, otherwise we get a // java.lang.NoClassDefFoundError: org.osgi.vendor.framework property not set if (classPathElement.getArtifactId().equals("org.osgi.core")) { if (getLog().isDebugEnabled()) { getLog().debug("Skipping org.osgi.core -> " + classPathElement.getGroupId() + "/" + classPathElement.getArtifactId() + "/" + classPathElement.getVersion()); } continue; } getLog().debug("Adding plugin dependency artifact: " + classPathElement.getArtifactId() + " to classpath"); path.add(classPathElement.getFile().toURI().toURL()); } } catch (MalformedURLException e) { throw new MojoExecutionException("Error during setting up classpath", e); } }	long method	Long Method	t	f	t			0	11179	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/tooling/maven/camel-maven-plugin/src/main/java/org/apache/camel/maven/RunMojo.java/#L734-L761	1	1523	11179
1373	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static RuleSet parse(final Reader configReader, EventLoggerProvider eventLogger) { RuleSetCreator ruleSetCreator = new RuleSetCreator(); int line = 0; try(Reader fileReader = configReader) { LOGGER.debug("About to load ACL file"); StreamTokenizer tokenizer = new StreamTokenizer(new BufferedReader(fileReader)); tokenizer.resetSyntax(); // setup the tokenizer tokenizer.commentChar(COMMENT); // single line comments tokenizer.eolIsSignificant(true); // return EOL as a token tokenizer.ordinaryChar('='); // equals is a token tokenizer.ordinaryChar(CONTINUATION); // continuation character (when followed by EOL) tokenizer.quoteChar('"'); // double quote tokenizer.quoteChar('\''); // single quote tokenizer.whitespaceChars('\u0000', '\u0020'); // whitespace (to be ignored) TODO properly tokenizer.wordChars('a', 'z'); // unquoted token characters [a-z] tokenizer.wordChars('A', 'Z'); // [A-Z] tokenizer.wordChars('0', '9'); // [0-9] tokenizer.wordChars('_', '_'); // underscore tokenizer.wordChars('-', '-'); // dash tokenizer.wordChars('.', '.'); // dot tokenizer.wordChars('*', '*'); // star tokenizer.wordChars('@', '@'); // at tokenizer.wordChars(':', ':'); // colon // parse the acl file lines Stack stack = new Stack<>(); int current; do { current = tokenizer.nextToken(); line = tokenizer.lineno()-1; switch (current) { case StreamTokenizer.TT_EOF: case StreamTokenizer.TT_EOL: if (stack.isEmpty()) { break; // blank line } // pull out the first token from the bottom of the stack and check arguments exist String first = stack.firstElement(); stack.removeElementAt(0); if (stack.isEmpty()) { throw new IllegalConfigurationException(String.format(NOT_ENOUGH_TOKENS_MSG, line)); } // check for and parse optional initial number for ACL lines Integer number = null; if (first != null && first.matches("\\d+")) { // set the acl number and get the next element number = Integer.valueOf(first); first = stack.firstElement(); stack.removeElementAt(0); } if (ACL.equalsIgnoreCase(first)) { parseAcl(number, stack, ruleSetCreator, line); } else if (number == null) { if("GROUP".equalsIgnoreCase(first)) { throw new IllegalConfigurationException(String.format("GROUP keyword not supported at " + "line %d. Groups should defined " + "via a Group Provider, not in " + "the ACL file.", line)); } else if (CONFIG.equalsIgnoreCase(first)) { parseConfig(stack, ruleSetCreator, line); } else { throw new IllegalConfigurationException(String.format(UNRECOGNISED_INITIAL_MSG, first, line)); } } else { throw new IllegalConfigurationException(String.format(NUMBER_NOT_ALLOWED_MSG, first, line)); } // reset stack, start next line stack.clear(); break; case StreamTokenizer.TT_NUMBER: stack.push(Integer.toString(Double.valueOf(tokenizer.nval).intValue())); break; case StreamTokenizer.TT_WORD: stack.push(tokenizer.sval); // token break; default: if (tokenizer.ttype == CONTINUATION) { int next = tokenizer.nextToken(); line = tokenizer.lineno()-1; if (next == StreamTokenizer.TT_EOL) { break; // continue reading next line } // invalid location for continuation character (add one to line because we ate the EOL) throw new IllegalConfigurationException(String.format(PREMATURE_CONTINUATION_MSG, line + 1)); } else if (tokenizer.ttype == '\'' || tokenizer.ttype == '"') { stack.push(tokenizer.sval); // quoted token } else { stack.push(Character.toString((char) tokenizer.ttype)); // single character } } } while (current != StreamTokenizer.TT_EOF); if (!stack.isEmpty()) { throw new IllegalConfigurationException(String.format(PREMATURE_EOF_MSG, line)); } } catch (IllegalArgumentException iae) { throw new IllegalConfigurationException(String.format(PARSE_TOKEN_FAILED_MSG, line), iae); } catch (IOException ioe) { throw new IllegalConfigurationException(CANNOT_LOAD_MSG, ioe); } return ruleSetCreator.createRuleSet(eventLogger); }	long method	long method, data class	t	t	t	data class		0	10803	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-plugins/access-control/src/main/java/org/apache/qpid/server/security/access/config/AclFileParser.java/#L113-L249	1	1373	10803
1647	{"answer": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private int addManualRecord(Airing recAir, UIClient uiClient) { // Check to make sure we have an encoder that can receive this station Set tryUs = new HashSet(encoderStateMap.values()); Iterator walker = tryUs.iterator(); // We only need to worry about conflicts with other recordings that occur within the same set of stations. If // encoder A has no intersection with the stations on encoder B; then there's no reason to prompt about conflicts from // that tuner since it won't help resolve scheduling issues. So this set will be all the stations that either directly or // indirectly could resolve a conflict with the new recording. // Due to the indirect nature of this; we have to keep checking through the encoders until this set stops growing in size Set unifiedStationSet = new HashSet(); boolean encoderExists = false; while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (es.stationSet.contains(recAir.stationID)) { encoderExists = true; unifiedStationSet.addAll(es.stationSet); walker.remove(); // to avoid redundant checking below break; } } } if (!encoderExists) return VideoFrame.WATCH_FAILED_NO_ENCODERS_HAVE_STATION; int lastSetSize; do { lastSetSize = unifiedStationSet.size(); walker = tryUs.iterator(); while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (unifiedStationSet.removeAll(es.stationSet)) { // There was an intersection, so use all of these stations, then ignore this one for later unifiedStationSet.addAll(es.stationSet); walker.remove(); } } } } while (lastSetSize != unifiedStationSet.size() && !tryUs.isEmpty()); long defaultStartPadding = Sage.getLong("default_mr_start_padding", 0); long defaultStopPadding = Sage.getLong("default_mr_stop_padding", 0); long requestedStart = recAir.getStartTime() - defaultStartPadding; long requestedStop = recAir.getEndTime() + defaultStopPadding; long requestedDuration = requestedStop - requestedStart; Airing schedAir = recAir; if (defaultStartPadding != 0 || defaultStopPadding != 0) { schedAir = new Airing(0); schedAir.time = requestedStart; schedAir.duration = requestedDuration; schedAir.stationID = recAir.stationID; schedAir.showID = recAir.showID; } Vector parallelRecords = new Vector(); Vector lastParallel = null; do { parallelRecords.clear(); ManualRecord[] manualMustSee = wiz.getManualRecordsSortedByTime(); Vector parallelRecurs = new Vector(); for (int i = 0; i < manualMustSee.length; i++) { ManualRecord currRec = manualMustSee[i]; if (currRec.getContentAiring() == recAir) return VideoFrame.WATCH_OK; if (currRec.getEndTime() <= Sage.time()) continue; if (currRec.doRecurrencesOverlap(requestedStart, requestedDuration, 0)) { parallelRecords.addElement(manualMustSee[i].getSchedulingAiring()); if (currRec.recur != 0) parallelRecurs.add(currRec); else parallelRecurs.add(null); } } if (parallelRecords.isEmpty()) break; parallelRecords.addElement(schedAir); parallelRecurs.add(null); if (sched.testMultiTunerSchedulingPermutation(parallelRecords)) break; // Remove any recurrence duplicates from the parallel list that is presented to the user for (int i = 0; i < parallelRecurs.size(); i++) { ManualRecord currRecur = parallelRecurs.get(i); if (currRecur == null) continue; for (int j = 0; j < parallelRecords.size(); j++) { if (i == j || parallelRecurs.get(j) == null) continue; ManualRecord otherRecur = parallelRecurs.get(j); if (currRecur.stationID == otherRecur.stationID && currRecur.duration == otherRecur.duration && currRecur.recur == otherRecur.recur && currRecur.isSameRecurrence(otherRecur.startTime)) { parallelRecurs.remove(j); parallelRecords.remove(j); j--; } } } // Conflict exists, we need to kill a recording that's on an encoder that's capable // of recording this // Conflict resolution, ask about what you're going to kill parallelRecords.remove(schedAir); // Remove any items from the conflict options that would not end up in station set overlap either directly or indirectly for (int i = 0; i < parallelRecords.size(); i++) if (!unifiedStationSet.contains(parallelRecords.get(i).stationID)) parallelRecords.remove(i--); // If we have the same conflicts as when we just checked, then bail. Most likely they // aren't processing the Hook correctly and we'll be in an infinite loop. if (lastParallel != null && parallelRecords.equals(lastParallel)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; Object hookRes = (uiClient == null) ? null : uiClient.processUIClientHook("RecordRequestScheduleConflict", new Object[] { recAir, parallelRecords }); if (!(hookRes instanceof Boolean) || !((Boolean) hookRes)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; lastParallel = new Vector(parallelRecords); } while (true); ManualRecord newMR; if (schedAir.getStartTime() < Sage.time()) { int[] errorReturn = new int[1]; EncoderState es = findBestEncoderForNow(schedAir, true, uiClient, errorReturn); if (es == null) { if (errorReturn[0] == 0) errorReturn[0] = VideoFrame.WATCH_FAILED_GENERAL_CANT_FIND_ENCODER; return errorReturn[0]; } synchronized (this) { es = checkForFoundBestEncoderNowRecordSwitch(es, recAir); // Set the acquisition state to manual if it has already started recording MediaFile mf = wiz.getFileForAiring(recAir); if (mf != null) mf.setAcquisitionTech(MediaFile.ACQUISITION_MANUAL); newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); es.forceWatch = newMR.getSchedulingAiring(); es.forceProcessed = false; work(); } } else newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); PluginEventManager.postEvent(PluginEventManager.MANUAL_RECORD_ADDED, new Object[] { PluginEventManager.VAR_AIRING, newMR.getSchedulingAiring() }); return VideoFrame.WATCH_OK; }	long method	long method	t	t	t			0	11563	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Seeker.java/#L5483-L5646	1	1647	11563
1719	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static byte[] encodeBase64(byte[] binaryData, boolean isChunked) { int lengthDataBits = binaryData.length * EIGHTBIT; int fewerThan24bits = lengthDataBits % TWENTYFOURBITGROUP; int numberTriplets = lengthDataBits / TWENTYFOURBITGROUP; byte encodedData[] = null; int encodedDataLength = 0; int nbrChunks = 0; if (fewerThan24bits != 0) { //data not divisible by 24 bit encodedDataLength = (numberTriplets + 1) * 4; } else { // 16 or 8 bit encodedDataLength = numberTriplets * 4; } // If the output is to be "chunked" into 76 character sections, // for compliance with RFC 2045 MIME, then it is important to // allow for extra length to account for the separator(s) if (isChunked) { nbrChunks = (CHUNK_SEPARATOR.length == 0 ? 0 : (int)Math.ceil((float)encodedDataLength / CHUNK_SIZE)); encodedDataLength += nbrChunks * CHUNK_SEPARATOR.length; } encodedData = new byte[encodedDataLength]; byte k = 0, l = 0, b1 = 0, b2 = 0, b3 = 0; int encodedIndex = 0; int dataIndex = 0; int i = 0; int nextSeparatorIndex = CHUNK_SIZE; int chunksSoFar = 0; //log.debug("number of triplets = " + numberTriplets); for (i = 0; i < numberTriplets; i++) { dataIndex = i * 3; b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; b3 = binaryData[dataIndex + 2]; //log.debug("b1= " + b1 +", b2= " + b2 + ", b3= " + b3); l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); byte val3 = ((b3 & SIGN) == 0) ? (byte)(b3 >> 6) : (byte)((b3) >> 6 ^ 0xfc); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; //log.debug( "val2 = " + val2 ); //log.debug( "k4 = " + (k<<4) ); //log.debug( "vak = " + (val2 | (k<<4)) ); encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[(l << 2) | val3]; encodedData[encodedIndex + 3] = lookUpBase64Alphabet[b3 & 0x3f]; encodedIndex += 4; // If we are chunking, let's put a chunk separator down. if (isChunked) { // this assumes that CHUNK_SIZE % 4 == 0 if (encodedIndex == nextSeparatorIndex) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedIndex, CHUNK_SEPARATOR.length); chunksSoFar++; nextSeparatorIndex = (CHUNK_SIZE * (chunksSoFar + 1)) + (chunksSoFar * CHUNK_SEPARATOR.length); encodedIndex += CHUNK_SEPARATOR.length; } } } // form integral number of 6-bit groups dataIndex = i * 3; if (fewerThan24bits == EIGHTBIT) { b1 = binaryData[dataIndex]; k = (byte)(b1 & 0x03); //log.debug("b1=" + b1); //log.debug("b1<<2 = " + (b1>>2) ); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[k << 4]; encodedData[encodedIndex + 2] = PAD; encodedData[encodedIndex + 3] = PAD; } else if (fewerThan24bits == SIXTEENBIT) { b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[l << 2]; encodedData[encodedIndex + 3] = PAD; } if (isChunked) { // we also add a separator to the end of the final chunk. if (chunksSoFar < nbrChunks) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedDataLength - CHUNK_SEPARATOR.length, CHUNK_SEPARATOR.length); } } return encodedData; }	long method	Long Method	t	f	t			0	11792	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/mosgi/jmx.agent/src/main/java/org/apache/felix/mosgi/jmx/agent/mx4j/util/Base64Codec.java/#L218-L377	1	1719	11792
450	YES, I found bad smells. The bad smells are: 1. Magic literal - the "unchecked" in the @SuppressWarnings annotation, makes it hard to understand the purpose of suppressing warnings. 2. Long method - the method handleBulkLoad is long and contains multiple nested loops and conditions, which makes it hard to read and understand. 3. Feature envy - the method contains code that is more interested in other classes or objects, leading to dependencies that can be difficult to maintain. 4. Lack of proper abstraction - the method is performing multiple operations, such as getting the file system and creating directories, which should be abstracted into separate methods. 5. Complex conditionals - the if statements in the code contain complex conditions, which can be hard to understand and reason about. 6. Duplicate code - the log statements for tracing are duplicated, which can lead to maintenance issues. 7. Deep nesting - the code contains multiple levels of nested loops and conditionals, which can make it difficult to understand and debug. 8. Use of primitives - the code is using strings and arrays of strings instead of using proper data structures, which can lead to errors and make the code difficult to read. 9. Inconsistent formatting - the code uses different styles of indentation and spacing, which can make it hard to read and maintain.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("unchecked") protected Map>[] handleBulkLoad(List sTableList) throws IOException { Map>[] mapForSrc = new Map[sTableList.size()]; List activeFiles = new ArrayList<>(); List archiveFiles = new ArrayList<>(); Pair>>>>, List> pair = backupManager.readBulkloadRows(sTableList); Map>>>> map = pair.getFirst(); FileSystem tgtFs; try { tgtFs = FileSystem.get(new URI(backupInfo.getBackupRootDir()), conf); } catch (URISyntaxException use) { throw new IOException("Unable to get FileSystem", use); } Path rootdir = FSUtils.getRootDir(conf); Path tgtRoot = new Path(new Path(backupInfo.getBackupRootDir()), backupId); for (Map.Entry>>>> tblEntry : map.entrySet()) { TableName srcTable = tblEntry.getKey(); int srcIdx = getIndex(srcTable, sTableList); if (srcIdx < 0) { LOG.warn("Couldn't find " + srcTable + " in source table List"); continue; } if (mapForSrc[srcIdx] == null) { mapForSrc[srcIdx] = new TreeMap<>(Bytes.BYTES_COMPARATOR); } Path tblDir = FSUtils.getTableDir(rootdir, srcTable); Path tgtTable = new Path(new Path(tgtRoot, srcTable.getNamespaceAsString()), srcTable.getQualifierAsString()); for (Map.Entry>>> regionEntry : tblEntry.getValue().entrySet()){ String regionName = regionEntry.getKey(); Path regionDir = new Path(tblDir, regionName); // map from family to List of hfiles for (Map.Entry>> famEntry : regionEntry.getValue().entrySet()) { String fam = famEntry.getKey(); Path famDir = new Path(regionDir, fam); List files; if (!mapForSrc[srcIdx].containsKey(Bytes.toBytes(fam))) { files = new ArrayList<>(); mapForSrc[srcIdx].put(Bytes.toBytes(fam), files); } else { files = mapForSrc[srcIdx].get(Bytes.toBytes(fam)); } Path archiveDir = HFileArchiveUtil.getStoreArchivePath(conf, srcTable, regionName, fam); String tblName = srcTable.getQualifierAsString(); Path tgtFam = new Path(new Path(tgtTable, regionName), fam); if (!tgtFs.mkdirs(tgtFam)) { throw new IOException("couldn't create " + tgtFam); } for (Pair fileWithState : famEntry.getValue()) { String file = fileWithState.getFirst(); int idx = file.lastIndexOf("/"); String filename = file; if (idx > 0) { filename = file.substring(idx+1); } Path p = new Path(famDir, filename); Path tgt = new Path(tgtFam, filename); Path archive = new Path(archiveDir, filename); if (fs.exists(p)) { if (LOG.isTraceEnabled()) { LOG.trace("found bulk hfile " + file + " in " + famDir + " for " + tblName); } if (LOG.isTraceEnabled()) { LOG.trace("copying " + p + " to " + tgt); } activeFiles.add(p.toString()); } else if (fs.exists(archive)){ LOG.debug("copying archive " + archive + " to " + tgt); archiveFiles.add(archive.toString()); } files.add(tgt); } } } } copyBulkLoadedFiles(activeFiles, archiveFiles); backupManager.deleteBulkLoadedRows(pair.getSecond()); return mapForSrc; }	long method	Magic literal - the "unchecked" in the @SuppressWarnings annotation, makes it hard to understand the purpose of suppressing warnings2 Long method - the method handleBulkLoad is long and contains multiple nested loops and conditions, which makes it hard to read and understand3 Feature envy - the method contains code that is more interested in other classes or objects, leading to dependencies that can be difficult to maintain4 Lack of proper abstraction - the method is performing multiple operations, such as getting the file system and creating directories, which should be abstracted into separate methods5 Complex conditionals - the if statements in the code contain complex conditions, which can be hard to understand and reason about6 Duplicate code - the log statements for tracing are duplicated, which can lead to maintenance issues7 Deep nesting - the code contains multiple levels of nested loops and conditionals, which can make it difficult to understand and debug8 Use of primitives - the code is using strings and arrays of strings instead of using proper data structures, which can lead to errors and make the code difficult to read9 Inconsistent formatting - the code uses different styles of indentation and spacing, which can make it hard to read and maintain	t	f	t	. Magic literal - the "unchecked" in the @SuppressWarnings annotation, which makes it hard to read and understand.3. Feature envy - the method contains code that is more interested in other classes or objects, leading to dependencies that can be difficult to maintain.4. Lack of proper abstraction - the method is performing multiple operations, such as getting the file system and creating directories, which should be abstracted into separate methods.5. Complex conditionals - the if statements in the code contain complex conditions, which can be hard to understand and reason about.6. Duplicate code - the log statements for tracing are duplicated, which can lead to maintenance issues.7. Deep nesting - the code contains multiple levels of nested loops and conditionals, which can make it difficult to understand and debug.8. Use of primitives - the code is using strings and arrays of strings instead of using proper data structures, which can lead to errors and make the code difficult to read.9. Inconsistent formatting - the code uses different styles of indentation and spacing, which can make it hard to read and maintain.		0	4392	https://github.com/apache/hbase/blob/44f8abd5c65c59e9d09f6ad14b3c825f145d8e4f/hbase-backup/src/main/java/org/apache/hadoop/hbase/backup/impl/IncrementalTableBackupClient.java/#L115-L201	2	450	4392
342	YES I found bad smells: 1. Long method 2. Feature envy 3. Data class violation 4. Primitive obsession	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public SystemDiagnosticsDTO createSystemDiagnosticsDto(final SystemDiagnostics sysDiagnostics) { final SystemDiagnosticsDTO dto = new SystemDiagnosticsDTO(); final SystemDiagnosticsSnapshotDTO snapshot = new SystemDiagnosticsSnapshotDTO(); dto.setAggregateSnapshot(snapshot); snapshot.setStatsLastRefreshed(new Date(sysDiagnostics.getCreationTimestamp())); // processors snapshot.setAvailableProcessors(sysDiagnostics.getAvailableProcessors()); snapshot.setProcessorLoadAverage(sysDiagnostics.getProcessorLoadAverage()); // threads snapshot.setDaemonThreads(sysDiagnostics.getDaemonThreads()); snapshot.setTotalThreads(sysDiagnostics.getTotalThreads()); // heap snapshot.setMaxHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxHeap())); snapshot.setMaxHeapBytes(sysDiagnostics.getMaxHeap()); snapshot.setTotalHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalHeap())); snapshot.setTotalHeapBytes(sysDiagnostics.getTotalHeap()); snapshot.setUsedHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedHeap())); snapshot.setUsedHeapBytes(sysDiagnostics.getUsedHeap()); snapshot.setFreeHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeHeap())); snapshot.setFreeHeapBytes(sysDiagnostics.getFreeHeap()); if (sysDiagnostics.getHeapUtilization() != -1) { snapshot.setHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getHeapUtilization())); } // non heap snapshot.setMaxNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxNonHeap())); snapshot.setMaxNonHeapBytes(sysDiagnostics.getMaxNonHeap()); snapshot.setTotalNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalNonHeap())); snapshot.setTotalNonHeapBytes(sysDiagnostics.getTotalNonHeap()); snapshot.setUsedNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedNonHeap())); snapshot.setUsedNonHeapBytes(sysDiagnostics.getUsedNonHeap()); snapshot.setFreeNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeNonHeap())); snapshot.setFreeNonHeapBytes(sysDiagnostics.getFreeNonHeap()); if (sysDiagnostics.getNonHeapUtilization() != -1) { snapshot.setNonHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getNonHeapUtilization())); } // flow file disk usage final SystemDiagnosticsSnapshotDTO.StorageUsageDTO flowFileRepositoryStorageUsageDto = createStorageUsageDTO(null, sysDiagnostics.getFlowFileRepositoryStorageUsage()); snapshot.setFlowFileRepositoryStorageUsage(flowFileRepositoryStorageUsageDto); // content disk usage final Set contentRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setContentRepositoryStorageUsage(contentRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getContentRepositoryStorageUsage().entrySet()) { contentRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // provenance disk usage final Set provenanceRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setProvenanceRepositoryStorageUsage(provenanceRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getProvenanceRepositoryStorageUsage().entrySet()) { provenanceRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // garbage collection final Set garbageCollectionDtos = new LinkedHashSet<>(); snapshot.setGarbageCollection(garbageCollectionDtos); for (final Map.Entry entry : sysDiagnostics.getGarbageCollection().entrySet()) { garbageCollectionDtos.add(createGarbageCollectionDTO(entry.getKey(), entry.getValue())); } // version info final SystemDiagnosticsSnapshotDTO.VersionInfoDTO versionInfoDto = createVersionInfoDTO(); snapshot.setVersionInfo(versionInfoDto); // uptime snapshot.setUptime(FormatUtils.formatHoursMinutesSeconds(sysDiagnostics.getUptime(), TimeUnit.MILLISECONDS)); return dto; }	long method	Long method2 Feature envy3 Data class violation4 Primitive obsession	t	f	t			0	3502	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-web/nifi-web-api/src/main/java/org/apache/nifi/web/api/dto/DtoFactory.java/#L3110-L3185	2	342	3502
295	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void log(Operation op, OperationProcessingContext context, String msg, Level logLevel) { String hostId = context.host != null ? context.host.getId() : ""; String path = op.getUri() != null ? op.getUri().getPath() : ""; Filter filter = this.filters.get(context.currentFilterPosition); String filterName = filter != null ? filter.getClass().getSimpleName() : ""; String logMsg = String.format("(host: %s, op %d %s %s) filter %s: %s", hostId, op.getId(), op.getAction(), path, filterName, msg); Level level = logLevel != null ? logLevel : Level.INFO; Utils.log(getClass(), op.getUri().getPath(), level, logMsg); }	long method	1. long method	t	t	t			0	3109	https://github.com/vmware/xenon/blob/b6fb48b745985af2efc59b7ee0e5e7d69a289fbc/xenon-common/src/main/java/com/vmware/xenon/common/OperationProcessingChain.java/#L345-L354	1	295	3109
2138	{ "output": "YES I found bad smells the bad smells are: 1. Long Method, 2. Data Class" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	1. long method, 2. data class	t	t	f	2. data class	long method	0	13259	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	1	2138	13259
2040	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Long parameter list 4. Conditional complexity 5. Feature envy 6. Primitive obsession 7. Magic numbers/constants	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean isValidSyntax( Object value ) { String strValue; if ( value == null ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, "null" ) ); } return false; } if ( value instanceof String ) { strValue = ( String ) value; } else if ( value instanceof byte[] ) { strValue = Strings.utf8ToString( ( byte[] ) value ); } else { strValue = value.toString(); } // We must have at least '(cp)', '(xr)' or '(ca)' if ( strValue.length() < 4 ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check the opening and closing parenthesis if ( ( strValue.charAt( 0 ) != '(' ) || ( strValue.charAt( strValue.length() - 1 ) != ')' ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } Set keywords = new HashSet<>(); int len = strValue.length() - 1; boolean needKeyword = true; // for ( int i = 1; i < len; /* */) { // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } int pos = i; // Search for a keyword while ( ( i < len ) && Chars.isAlphaASCII( strValue, pos ) ) { pos++; } if ( pos == i ) { // No keyword : error if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } String keyword = strValue.substring( i, pos ); i = pos; if ( !DSE_BITS.contains( keyword ) ) { // Unknown keyword if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check that the keyword has not been met if ( keywords.contains( keyword ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } keywords.add( keyword ); needKeyword = false; // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } // Do we have another keyword ? if ( ( i < len ) && ( strValue.charAt( i ) == '$' ) ) { // yes i++; needKeyword = true; } } // We are done if ( LOG.isDebugEnabled() ) { if ( needKeyword ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } else { LOG.debug( I18n.msg( I18n.MSG_13701_SYNTAX_VALID, value ) ); } } return !needKeyword; }	long method	Long method 2 Duplicate code 3 Long parameter list 4 Conditional complexity 5 Feature envy 6 Primitive obsession7 Magic numbers/constants	t	f	t			0	12850	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/schema/syntaxCheckers/DseTypeSyntaxChecker.java/#L133-L273	2	2040	12850
5638	{ "message": "YES, I found bad smells", "bad smells are": [ "1. Long method", "2. Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void setOptionalAttribute(BeanDefinitionBuilder builder, Map providedProperties, String propertyPrefix, String attributeValue, String attributeName) { String propertyKey; if ("username".equals(attributeName)) { String userKey = (propertyPrefix != null ? propertyPrefix + "user" : "user"); if (providedProperties.containsKey(userKey)) { propertyKey = userKey; } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeName : attributeName); } } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeToPropertyMap.get(attributeName) : attributeToPropertyMap.get(attributeName)); } if (StringUtils.hasText(attributeValue)) { if (logger.isDebugEnabled()) { if ("password".equals(attributeName)) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value ******"); } else { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value " + attributeValue); } } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), attributeValue); } else if (providedProperties.containsKey(propertyKey)) { if (logger.isDebugEnabled()) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with property value " + ("password".equals(attributeName) ? "******" : providedProperties.get(propertyKey))); } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), providedProperties.get(propertyKey)); } removeProvidedProperty(providedProperties, propertyKey); }	long method	1. long method, 2. feature envy	t	t	f	2. feature envy	long method	0	10869	https://github.com/spring-projects/spring-data-jdbc-ext/blob/9f19335f6f776ad36158cfaa0f5aad64333ce988/spring-data-oracle/src/main/java/org/springframework/data/jdbc/config/oracle/PoolingDataSourceBeanDefinitionParser.java/#L341-L388	2	5638	10869
609	YES I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String getColumnText(Object element, int columnIndex) { if (element instanceof HadoopServer) { HadoopServer server = (HadoopServer) element; switch (columnIndex) { case 0: return server.getLocationName(); case 1: return server.getMasterHostName().toString(); case 2: return server.getState(); case 3: return ""; } } else if (element instanceof HadoopJob) { HadoopJob job = (HadoopJob) element; switch (columnIndex) { case 0: return job.getJobID().toString(); case 1: return ""; case 2: return job.getState().toString(); case 3: return job.getStatus(); } } else if (element instanceof JarModule) { JarModule jar = (JarModule) element; switch (columnIndex) { case 0: return jar.toString(); case 1: return "Publishing jar to server.."; case 2: return ""; } } return null; }	long method	Long method2 Feature envy	t	f	t			0	6124	https://github.com/apache/hadoop-mapreduce/blob/307cb5b316e10defdbbc228d8cdcdb627191ea15/src/contrib/eclipse-plugin/src/java/org/apache/hadoop/eclipse/view/servers/ServerView.java/#L369-L410	2	609	6124
1719	YES I found bad smells the bad smells are: 1. Long method 2. Complex implementation 3. Overly nested conditional statements 4. Lack of proper commenting/documentation 5. Feature envy (multiple lines of code that should be in a separate object or method) 6. Use of magic numbers 7. Lack of proper error handling 8. Unnecessary use of system calls/arrays 9. Inefficient use of loops/iterations 10. Poor variable naming	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static byte[] encodeBase64(byte[] binaryData, boolean isChunked) { int lengthDataBits = binaryData.length * EIGHTBIT; int fewerThan24bits = lengthDataBits % TWENTYFOURBITGROUP; int numberTriplets = lengthDataBits / TWENTYFOURBITGROUP; byte encodedData[] = null; int encodedDataLength = 0; int nbrChunks = 0; if (fewerThan24bits != 0) { //data not divisible by 24 bit encodedDataLength = (numberTriplets + 1) * 4; } else { // 16 or 8 bit encodedDataLength = numberTriplets * 4; } // If the output is to be "chunked" into 76 character sections, // for compliance with RFC 2045 MIME, then it is important to // allow for extra length to account for the separator(s) if (isChunked) { nbrChunks = (CHUNK_SEPARATOR.length == 0 ? 0 : (int)Math.ceil((float)encodedDataLength / CHUNK_SIZE)); encodedDataLength += nbrChunks * CHUNK_SEPARATOR.length; } encodedData = new byte[encodedDataLength]; byte k = 0, l = 0, b1 = 0, b2 = 0, b3 = 0; int encodedIndex = 0; int dataIndex = 0; int i = 0; int nextSeparatorIndex = CHUNK_SIZE; int chunksSoFar = 0; //log.debug("number of triplets = " + numberTriplets); for (i = 0; i < numberTriplets; i++) { dataIndex = i * 3; b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; b3 = binaryData[dataIndex + 2]; //log.debug("b1= " + b1 +", b2= " + b2 + ", b3= " + b3); l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); byte val3 = ((b3 & SIGN) == 0) ? (byte)(b3 >> 6) : (byte)((b3) >> 6 ^ 0xfc); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; //log.debug( "val2 = " + val2 ); //log.debug( "k4 = " + (k<<4) ); //log.debug( "vak = " + (val2 | (k<<4)) ); encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[(l << 2) | val3]; encodedData[encodedIndex + 3] = lookUpBase64Alphabet[b3 & 0x3f]; encodedIndex += 4; // If we are chunking, let's put a chunk separator down. if (isChunked) { // this assumes that CHUNK_SIZE % 4 == 0 if (encodedIndex == nextSeparatorIndex) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedIndex, CHUNK_SEPARATOR.length); chunksSoFar++; nextSeparatorIndex = (CHUNK_SIZE * (chunksSoFar + 1)) + (chunksSoFar * CHUNK_SEPARATOR.length); encodedIndex += CHUNK_SEPARATOR.length; } } } // form integral number of 6-bit groups dataIndex = i * 3; if (fewerThan24bits == EIGHTBIT) { b1 = binaryData[dataIndex]; k = (byte)(b1 & 0x03); //log.debug("b1=" + b1); //log.debug("b1<<2 = " + (b1>>2) ); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[k << 4]; encodedData[encodedIndex + 2] = PAD; encodedData[encodedIndex + 3] = PAD; } else if (fewerThan24bits == SIXTEENBIT) { b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[l << 2]; encodedData[encodedIndex + 3] = PAD; } if (isChunked) { // we also add a separator to the end of the final chunk. if (chunksSoFar < nbrChunks) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedDataLength - CHUNK_SEPARATOR.length, CHUNK_SEPARATOR.length); } } return encodedData; }	long method	Long method 2 Complex implementation 3 Overly nested conditional statements 4 Lack of proper commenting/documentation 5 Feature envy (multiple lines of code that should be in a separate object or method) 6 Use of magic numbers 7 Lack of proper error handling 8 Unnecessary use of system calls/arrays 9 Inefficient use of loops/iterations	t	f	t			0	11792	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/mosgi/jmx.agent/src/main/java/org/apache/felix/mosgi/jmx/agent/mx4j/util/Base64Codec.java/#L218-L377	2	1719	11792
2188	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Object getValue(final String columnLabel, final Class type) throws SQLException { Object result; if (Object.class == type) { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } else if (boolean.class == type) { result = decrypt(columnLabel, resultSet.getBoolean(columnLabel)); } else if (byte.class == type) { result = decrypt(columnLabel, resultSet.getByte(columnLabel)); } else if (short.class == type) { result = decrypt(columnLabel, resultSet.getShort(columnLabel)); } else if (int.class == type) { result = decrypt(columnLabel, resultSet.getInt(columnLabel)); } else if (long.class == type) { result = decrypt(columnLabel, resultSet.getLong(columnLabel)); } else if (float.class == type) { result = decrypt(columnLabel, resultSet.getFloat(columnLabel)); } else if (double.class == type) { result = decrypt(columnLabel, resultSet.getDouble(columnLabel)); } else if (String.class == type) { result = decrypt(columnLabel, resultSet.getString(columnLabel)); } else if (BigDecimal.class == type) { result = decrypt(columnLabel, resultSet.getBigDecimal(columnLabel)); } else if (byte[].class == type) { result = resultSet.getBytes(columnLabel); } else if (Date.class == type) { result = resultSet.getDate(columnLabel); } else if (Time.class == type) { result = resultSet.getTime(columnLabel); } else if (Timestamp.class == type) { result = resultSet.getTimestamp(columnLabel); } else if (URL.class == type) { result = resultSet.getURL(columnLabel); } else if (Blob.class == type) { result = resultSet.getBlob(columnLabel); } else if (Clob.class == type) { result = resultSet.getClob(columnLabel); } else if (SQLXML.class == type) { result = resultSet.getSQLXML(columnLabel); } else if (Reader.class == type) { result = resultSet.getCharacterStream(columnLabel); } else { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } return result; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	13444	https://github.com/apache/incubator-shardingsphere/blob/c5cf1d15b02f3a0fb3bda4f15d5f0b3779eac7ba/sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/sql/execute/result/StreamQueryResult.java/#L117-L162	2	2188	13444
589	{ "message": "YES I found bad smells", "detected_bad_smells": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean readFont(FontFileReader in, String header, String name) throws IOException { initializeFont(in); /* * Check if TrueType collection, and that the name * exists in the collection */ if (!checkTTC(header, name)) { if (name == null) { throw new IllegalArgumentException( "For TrueType collection you must specify which font " + "to select (-ttcname)"); } else { throw new IOException( "Name does not exist in the TrueType collection: " + name); } } readDirTabs(); readFontHeader(); getNumGlyphs(); if (log.isDebugEnabled()) { log.debug("Number of glyphs in font: " + numberOfGlyphs); } readHorizontalHeader(); readHorizontalMetrics(); initAnsiWidths(); readPostScript(); readOS2(); determineAscDesc(); readName(); boolean pcltFound = readPCLT(); // Read cmap table and fill in ansiwidths boolean valid = readCMAP(); if (!valid) { return false; } // Create cmaps for bfentries createCMaps(); updateBBoxAndOffset(); if (useKerning) { readKerning(); } handleCharacterSpacing(in); guessVerticalMetricsFromGlyphBBox(); return true; }	long method	long method	t	t	t			0	5882	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fonts/truetype/OpenFont.java/#L813-L862	1	589	5882
5407	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, WMTrigger struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RESOURCE_PLAN_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.resourcePlanName = iprot.readString(); struct.setResourcePlanNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // TRIGGER_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerName = iprot.readString(); struct.setTriggerNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // TRIGGER_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerExpression = iprot.readString(); struct.setTriggerExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // ACTION_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.actionExpression = iprot.readString(); struct.setActionExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 5: // IS_IN_UNMANAGED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.isInUnmanaged = iprot.readBool(); struct.setIsInUnmanagedIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 6: // NS if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.ns = iprot.readString(); struct.setNsIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); struct.validate(); }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	15185	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/WMTrigger.java/#L733-L798	2	5407	15185
3521	{ "input_code": "public class Example {\n private int a;\n private int b;\n \n public int calculateSum() {\n return a + b;\n }\n\n public void printValues() {\n System.out.println(\"Value a: \" + a);\n System.out.println(\"Value b: \" + b);\n }\n}", "detected_code_smells": "YES I found bad smells\nthe bad smells are:\n1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	yes i found bad smellsthe bad smells are:1. long method	t	t	t			0	7615	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src-gen/org/eclipse/n4js/ui/contentassist/antlr/internal/InternalN4JSParser.java/#L181223-L181248	1	3521	7615
2540	{"response": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	long method, feature envy	t	t	t	feature envy		0	14774	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	1	2540	14774
1101	YES I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void main(List trees) { // complete the javac AST with a completed ceylon model timer.startTask("prepareForTypeChecking"); prepareForTypeChecking(trees); timer.endTask(); List javaTrees = List.nil(); List ceylonTrees = List.nil(); // split them in two sets: java and ceylon for(JCCompilationUnit tree : trees){ if(tree instanceof CeylonCompilationUnit) ceylonTrees = ceylonTrees.prepend(tree); else javaTrees = javaTrees.prepend(tree); } timer.startTask("Enter on Java trees"); boolean needsModelReset = isBootstrap; // enter java trees first to set up their ClassSymbol objects for ceylon trees to use during type-checking if(!javaTrees.isEmpty()){ setupImportedPackagesForJavaTrees(javaTrees); hasJavaAndCeylonSources = true; needsModelReset = true; } // this is false if we're in an APT round where we did not generate the trees if(!compiler.isAddModuleTrees()){ setupImportedPackagesForJavaTrees(ceylonTrees); } if(isBootstrap || hasJavaAndCeylonSources){ super.main(trees); } // now we can type-check the Ceylon code List packageInfo = completeCeylonTrees(trees); trees = trees.prependList(packageInfo); ceylonTrees = ceylonTrees.prependList(packageInfo); if(compiler.isHadRunTwiceException()){ needsModelReset = true; } if(needsModelReset){ // bootstrapping the language module is a bit more complex resetAndRunEnterAgain(trees); }else{ timer.startTask("Enter on Ceylon trees"); // and complete their new trees try { sourceLanguage.push(Language.CEYLON); super.main(ceylonTrees); } finally { sourceLanguage.pop(); } timer.endTask(); } }	long method	Long method2 Feature envy	t	f	t			0	9839	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/compiler-java/src/org/eclipse/ceylon/compiler/java/loader/CeylonEnter.java/#L203-L255	2	1101	9839
1246	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void main(List trees) { // complete the javac AST with a completed ceylon model timer.startTask("prepareForTypeChecking"); prepareForTypeChecking(trees); timer.endTask(); List javaTrees = List.nil(); List ceylonTrees = List.nil(); // split them in two sets: java and ceylon for(JCCompilationUnit tree : trees){ if(tree instanceof CeylonCompilationUnit) ceylonTrees = ceylonTrees.prepend(tree); else javaTrees = javaTrees.prepend(tree); } timer.startTask("Enter on Java trees"); boolean needsModelReset = isBootstrap; // enter java trees first to set up their ClassSymbol objects for ceylon trees to use during type-checking if(!javaTrees.isEmpty()){ setupImportedPackagesForJavaTrees(javaTrees); hasJavaAndCeylonSources = true; needsModelReset = true; } // this is false if we're in an APT round where we did not generate the trees if(!compiler.isAddModuleTrees()){ setupImportedPackagesForJavaTrees(ceylonTrees); } if(isBootstrap || hasJavaAndCeylonSources){ super.main(trees); } // now we can type-check the Ceylon code List packageInfo = completeCeylonTrees(trees); trees = trees.prependList(packageInfo); ceylonTrees = ceylonTrees.prependList(packageInfo); if(compiler.isHadRunTwiceException()){ needsModelReset = true; } if(needsModelReset){ // bootstrapping the language module is a bit more complex resetAndRunEnterAgain(trees); }else{ timer.startTask("Enter on Ceylon trees"); // and complete their new trees try { sourceLanguage.push(Language.CEYLON); super.main(ceylonTrees); } finally { sourceLanguage.pop(); } timer.endTask(); } }	long method	long method, data class	t	t	t	data class		0	10421	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/compiler-java/src/org/eclipse/ceylon/compiler/java/loader/CeylonEnter.java/#L203-L255	1	1246	10421
1117	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Complex conditional statements 5. Nested loops 6. Long parameter list 7. Tight coupling 8. Non-descriptive variable naming 9. Redundant code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private int addManualRecord(Airing recAir, UIClient uiClient) { // Check to make sure we have an encoder that can receive this station Set tryUs = new HashSet(encoderStateMap.values()); Iterator walker = tryUs.iterator(); // We only need to worry about conflicts with other recordings that occur within the same set of stations. If // encoder A has no intersection with the stations on encoder B; then there's no reason to prompt about conflicts from // that tuner since it won't help resolve scheduling issues. So this set will be all the stations that either directly or // indirectly could resolve a conflict with the new recording. // Due to the indirect nature of this; we have to keep checking through the encoders until this set stops growing in size Set unifiedStationSet = new HashSet(); boolean encoderExists = false; while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (es.stationSet.contains(recAir.stationID)) { encoderExists = true; unifiedStationSet.addAll(es.stationSet); walker.remove(); // to avoid redundant checking below break; } } } if (!encoderExists) return VideoFrame.WATCH_FAILED_NO_ENCODERS_HAVE_STATION; int lastSetSize; do { lastSetSize = unifiedStationSet.size(); walker = tryUs.iterator(); while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (unifiedStationSet.removeAll(es.stationSet)) { // There was an intersection, so use all of these stations, then ignore this one for later unifiedStationSet.addAll(es.stationSet); walker.remove(); } } } } while (lastSetSize != unifiedStationSet.size() && !tryUs.isEmpty()); long defaultStartPadding = Sage.getLong("default_mr_start_padding", 0); long defaultStopPadding = Sage.getLong("default_mr_stop_padding", 0); long requestedStart = recAir.getStartTime() - defaultStartPadding; long requestedStop = recAir.getEndTime() + defaultStopPadding; long requestedDuration = requestedStop - requestedStart; Airing schedAir = recAir; if (defaultStartPadding != 0 || defaultStopPadding != 0) { schedAir = new Airing(0); schedAir.time = requestedStart; schedAir.duration = requestedDuration; schedAir.stationID = recAir.stationID; schedAir.showID = recAir.showID; } Vector parallelRecords = new Vector(); Vector lastParallel = null; do { parallelRecords.clear(); ManualRecord[] manualMustSee = wiz.getManualRecordsSortedByTime(); Vector parallelRecurs = new Vector(); for (int i = 0; i < manualMustSee.length; i++) { ManualRecord currRec = manualMustSee[i]; if (currRec.getContentAiring() == recAir) return VideoFrame.WATCH_OK; if (currRec.getEndTime() <= Sage.time()) continue; if (currRec.doRecurrencesOverlap(requestedStart, requestedDuration, 0)) { parallelRecords.addElement(manualMustSee[i].getSchedulingAiring()); if (currRec.recur != 0) parallelRecurs.add(currRec); else parallelRecurs.add(null); } } if (parallelRecords.isEmpty()) break; parallelRecords.addElement(schedAir); parallelRecurs.add(null); if (sched.testMultiTunerSchedulingPermutation(parallelRecords)) break; // Remove any recurrence duplicates from the parallel list that is presented to the user for (int i = 0; i < parallelRecurs.size(); i++) { ManualRecord currRecur = parallelRecurs.get(i); if (currRecur == null) continue; for (int j = 0; j < parallelRecords.size(); j++) { if (i == j || parallelRecurs.get(j) == null) continue; ManualRecord otherRecur = parallelRecurs.get(j); if (currRecur.stationID == otherRecur.stationID && currRecur.duration == otherRecur.duration && currRecur.recur == otherRecur.recur && currRecur.isSameRecurrence(otherRecur.startTime)) { parallelRecurs.remove(j); parallelRecords.remove(j); j--; } } } // Conflict exists, we need to kill a recording that's on an encoder that's capable // of recording this // Conflict resolution, ask about what you're going to kill parallelRecords.remove(schedAir); // Remove any items from the conflict options that would not end up in station set overlap either directly or indirectly for (int i = 0; i < parallelRecords.size(); i++) if (!unifiedStationSet.contains(parallelRecords.get(i).stationID)) parallelRecords.remove(i--); // If we have the same conflicts as when we just checked, then bail. Most likely they // aren't processing the Hook correctly and we'll be in an infinite loop. if (lastParallel != null && parallelRecords.equals(lastParallel)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; Object hookRes = (uiClient == null) ? null : uiClient.processUIClientHook("RecordRequestScheduleConflict", new Object[] { recAir, parallelRecords }); if (!(hookRes instanceof Boolean) || !((Boolean) hookRes)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; lastParallel = new Vector(parallelRecords); } while (true); ManualRecord newMR; if (schedAir.getStartTime() < Sage.time()) { int[] errorReturn = new int[1]; EncoderState es = findBestEncoderForNow(schedAir, true, uiClient, errorReturn); if (es == null) { if (errorReturn[0] == 0) errorReturn[0] = VideoFrame.WATCH_FAILED_GENERAL_CANT_FIND_ENCODER; return errorReturn[0]; } synchronized (this) { es = checkForFoundBestEncoderNowRecordSwitch(es, recAir); // Set the acquisition state to manual if it has already started recording MediaFile mf = wiz.getFileForAiring(recAir); if (mf != null) mf.setAcquisitionTech(MediaFile.ACQUISITION_MANUAL); newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); es.forceWatch = newMR.getSchedulingAiring(); es.forceProcessed = false; work(); } } else newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); PluginEventManager.postEvent(PluginEventManager.MANUAL_RECORD_ADDED, new Object[] { PluginEventManager.VAR_AIRING, newMR.getSchedulingAiring() }); return VideoFrame.WATCH_OK; }	long method	Long method2 Feature envy3 Duplicate code4 Complex conditional statements5 Nested loops6 Long parameter list7 Tight coupling8 Non-descriptive variable naming9 Redundant code	t	f	t			0	9955	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Seeker.java/#L5483-L5646	2	1117	9955
462	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Serializable getRoutingObject(EntryOperation opDetails) { Date date = (Date) opDetails.getKey(); Calendar cal = Calendar.getInstance(); cal.setTime(date); int month = cal.get(Calendar.MONTH); // if(true){ // return month; // } switch (month) { case 0: return "January"; case 1: return "February"; case 2: return "March"; case 3: return "April"; case 4: return "May"; case 5: return "June"; case 6: return "July"; case 7: return "August"; case 8: return "September"; case 9: return "October"; case 10: return "November"; case 11: return "December"; default: return null; } }	long method	Long method2 Duplicate code3 Feature envy	t	f	t			0	4467	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/distributedTest/java/org/apache/geode/internal/cache/partitioned/fixed/SingleHopQuarterPartitionResolver.java/#L69-L107	2	462	4467
1050	YES I found bad smells the bad smells are: 1.Long method 2.Long method 3.Unnecessary comments 4.Lack of proper indentation/formatting 5.Lack of proper variable naming 6.Feature envy 7.Magic numbers/strings used in code 8.Manually handling exceptions instead of using try-catch blocks 9.Accessing properties multiple times instead of storing them in a variable 10.Multiple nested if-else statements 11.Missing error handling for exceptions 12.Hard-coded class and method names instead of using reflection 13.Large number of method calls 14.Methods performing multiple actions instead of a single, specific task.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public PigServer(PigContext context, boolean connect) throws ExecException { this.pigContext = context; currDAG = new Graph(false); jobName = pigContext.getProperties().getProperty( PigContext.JOB_NAME, PigContext.JOB_NAME_PREFIX + ":DefaultJobName"); if (connect) { pigContext.connect(); } this.filter = new BlackAndWhitelistFilter(this); addHadoopProperties(); addJarsFromProperties(); markPredeployedJarsFromProperties(); if (ScriptState.get() == null) { // If Pig was started via command line, ScriptState should have been // already initialized in Main. If so, we should not overwrite it. ScriptState.start(pigContext.getExecutionEngine().instantiateScriptState()); } PigStats.start(pigContext.getExecutionEngine().instantiatePigStats()); // log ATS event includes the caller context String auditId = PigATSClient.getPigAuditId(pigContext); String callerId = (String)pigContext.getProperties().get(PigConfiguration.PIG_LOG_TRACE_ID); log.info("Pig Script ID for the session: " + auditId); if (callerId != null) { log.info("Caller ID for session: " + callerId); } if (Boolean.parseBoolean(pigContext.getProperties() .getProperty(PigConfiguration.PIG_ATS_ENABLED))) { if (Boolean.parseBoolean(pigContext.getProperties() .getProperty("yarn.timeline-service.enabled", "false"))) { PigATSClient.ATSEvent event = new PigATSClient.ATSEvent(auditId, callerId); try { PigATSClient.getInstance().logEvent(event); } catch (Exception e) { log.warn("Error posting to ATS: ", e); } } else { log.warn("ATS is disabled since" + " yarn.timeline-service.enabled set to false"); } } // set hdfs caller context Class callerContextClass = null; try { callerContextClass = Class.forName("org.apache.hadoop.ipc.CallerContext"); } catch (ClassNotFoundException e) { // If pre-Hadoop 2.8.0, skip setting CallerContext } if (callerContextClass != null) { try { // Reflection for the following code since it is only available since hadoop 2.8.0: // CallerContext hdfsContext = new CallerContext.Builder(auditId).build(); // CallerContext.setCurrent(hdfsContext); Class callerContextBuilderClass = Class.forName("org.apache.hadoop.ipc.CallerContext$Builder"); Constructor callerContextBuilderConstruct = callerContextBuilderClass.getConstructor(String.class); Object builder = callerContextBuilderConstruct.newInstance(auditId); Method builderBuildMethod = builder.getClass().getMethod("build"); Object hdfsContext = builderBuildMethod.invoke(builder); Method callerContextSetCurrentMethod = callerContextClass.getMethod("setCurrent", hdfsContext.getClass()); callerContextSetCurrentMethod.invoke(callerContextClass, hdfsContext); } catch (Exception e) { // Shall not happen unless API change in future Hadoop commons throw new ExecException(e); } } }	long method	Long method2Long method3Unnecessary comments4Lack of proper indentation/formatting5Lack of proper variable naming6Feature envy7Magic numbers/strings used in code8Manually handling exceptions instead of using try-catch blocks9Accessing properties multiple times instead of storing them in a variable	t	f	t			0	9476	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/PigServer.java/#L223-L296	2	1050	9476
1657	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static int reconfigureNetworking() { // This uses values from the property settings if (Sage.getBoolean(NET_CONFIG_WIRED, true)) { // Bring down the wireless interface if it's there bringDownWireless(); setupNetworking(Sage.get("linux/wired_network_port", "eth0")); } else { // Bring down the wired interface if it's there if (Sage.getBoolean("linux/disable_wired_when_wireless_is_enabled", false)) bringDownWired(); // Be sure the wired interface is loaded (it may need to be before it is configured) IOUtils.exec2("ifconfig " + Sage.get("linux/wireless_network_port", "eth1") + " up"); // Setup the wireless networking properties before we try to connect to the network or it won't work IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " essid " + Sage.get(NET_CONFIG_SSID, "any")); String crypto = Sage.get(NET_CONFIG_ENCRYPTION, "WPA"); if ("None".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key off"); } else { // Check if the key is all hex String key = Sage.get(NET_CONFIG_ENCRYPTION_KEY, ""); boolean hexKey = true; for (int i = 0; i < key.length(); i++) { if (Character.digit(key.charAt(i), 16) < 0) { hexKey = false; break; } } if ("WEP".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key on"); if (hexKey) IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key " + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); else IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key s:" + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); } else // WPA { // NOT FINISHED YET, we'll need to setup a configuration file for wpa_supplicant and then run it } } setupNetworking(Sage.get("linux/wireless_network_port", "eth1")); } return 0; }	long method	Long method2 Feature envy	t	f	t			0	11601	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/LinuxUtils.java/#L51-L108	2	1657	11601
1063	{ "message": "YES, I found bad smells", "detected_bad_smells": [ { "1": "Long Method" }, { "2": "Data Class" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: void setStackMap(StackMapTable_attribute attr) { if (attr == null) { map = null; return; } Method m = classWriter.getMethod(); Descriptor d = m.descriptor; String[] args; try { ConstantPool cp = classWriter.getClassFile().constant_pool; String argString = d.getParameterTypes(cp); args = argString.substring(1, argString.length() - 1).split("[, ]+"); } catch (ConstantPoolException | InvalidDescriptor e) { return; } boolean isStatic = m.access_flags.is(AccessFlags.ACC_STATIC); verification_type_info[] initialLocals = new verification_type_info[(isStatic ? 0 : 1) + args.length]; if (!isStatic) initialLocals[0] = new CustomVerificationTypeInfo("this"); for (int i = 0; i < args.length; i++) { initialLocals[(isStatic ? 0 : 1) + i] = new CustomVerificationTypeInfo(args[i].replace(".", "/")); } map = new HashMap<>(); StackMapBuilder builder = new StackMapBuilder(); // using -1 as the pc for the initial frame effectively compensates for // the difference in behavior for the first stack map frame (where the // pc offset is just offset_delta) compared to subsequent frames (where // the pc offset is always offset_delta+1). int pc = -1; map.put(pc, new StackMap(initialLocals, empty)); for (int i = 0; i < attr.entries.length; i++) pc = attr.entries[i].accept(builder, pc); }	long method	1: long method, 2: data class	t	t	t	2: data class		0	9551	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.jdeps/share/classes/com/sun/tools/javap/StackMapWriter.java/#L72-L111	1	1063	9551
1732	{"answer": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public JsonGenerator(LogIterator iter) { servers = new HashSet(); Pattern stateChangeP = Pattern.compile("- (LOOKING|FOLLOWING|LEADING)"); Pattern newElectionP = Pattern.compile("New election. My id = (\\d+), Proposed zxid = (\\d+)"); Pattern receivedProposalP = Pattern.compile("Notification: (\\d+) \\(n.leader\\), (\\d+) \\(n.zxid\\), (\\d+) \\(n.round\\), .+ \\(n.state\\), (\\d+) \\(n.sid\\), .+ \\(my state\\)"); Pattern exceptionP = Pattern.compile("xception"); root = new JSONObject(); Matcher m = null; JSONArray events = new JSONArray(); root.put("events", events); long starttime = Long.MAX_VALUE; long endtime = 0; int leader = 0; long curEpoch = 0; boolean newEpoch = false; while (iter.hasNext()) { LogEntry ent = iter.next(); if (ent.getTimestamp() < starttime) { starttime = ent.getTimestamp(); } if (ent.getTimestamp() > endtime) { endtime = ent.getTimestamp(); } if (ent.getType() == LogEntry.Type.TXN) { events.add(txnEntry((TransactionEntry)ent)); } else { Log4JEntry e = (Log4JEntry)ent; servers.add(e.getNode()); if ((m = stateChangeP.matcher(e.getEntry())).find()) { JSONObject stateChange = new JSONObject(); stateChange.put("type", "stateChange"); stateChange.put("time", e.getTimestamp()); stateChange.put("server", e.getNode()); stateChange.put("state", m.group(1)); events.add(stateChange); if (m.group(1).equals("LEADING")) { leader = e.getNode(); } } else if ((m = newElectionP.matcher(e.getEntry())).find()) { Iterator iterator = servers.iterator(); long zxid = Long.valueOf(m.group(2)); int count = (int)zxid;// & 0xFFFFFFFFL; int epoch = (int)Long.rotateRight(zxid, 32);// >> 32; if (leader != 0 && epoch > curEpoch) { JSONObject stateChange = new JSONObject(); stateChange.put("type", "stateChange"); stateChange.put("time", e.getTimestamp()); stateChange.put("server", leader); stateChange.put("state", "INIT"); events.add(stateChange); leader = 0; } while (iterator.hasNext()) { int dst = iterator.next(); if (dst != e.getNode()) { JSONObject msg = new JSONObject(); msg.put("type", "postmessage"); msg.put("src", e.getNode()); msg.put("dst", dst); msg.put("time", e.getTimestamp()); msg.put("zxid", m.group(2)); msg.put("count", count); msg.put("epoch", epoch); events.add(msg); } } } else if ((m = receivedProposalP.matcher(e.getEntry())).find()) { // Pattern.compile("Notification: \\d+, (\\d+), (\\d+), \\d+, [^,]*, [^,]*, (\\d+)");//, LOOKING, LOOKING, 2 int src = Integer.valueOf(m.group(4)); long zxid = Long.valueOf(m.group(2)); int dst = e.getNode(); long epoch2 = Long.valueOf(m.group(3)); int count = (int)zxid;// & 0xFFFFFFFFL; int epoch = (int)Long.rotateRight(zxid, 32);// >> 32; if (leader != 0 && epoch > curEpoch) { JSONObject stateChange = new JSONObject(); stateChange.put("type", "stateChange"); stateChange.put("time", e.getTimestamp()); stateChange.put("server", leader); stateChange.put("state", "INIT"); events.add(stateChange); leader = 0; } if (src != dst) { JSONObject msg = new JSONObject(); msg.put("type", "delivermessage"); msg.put("src", src); msg.put("dst", dst); msg.put("time", e.getTimestamp()); msg.put("zxid", zxid); msg.put("epoch", epoch); msg.put("count", count); msg.put("epoch2", epoch2); events.add(msg); } } else if ((m = exceptionP.matcher(e.getEntry())).find()) { JSONObject ex = new JSONObject(); ex.put("type", "exception"); ex.put("server", e.getNode()); ex.put("time", e.getTimestamp()); ex.put("text", e.getEntry()); events.add(ex); } } JSONObject ex = new JSONObject(); ex.put("type", "text"); ex.put("time", ent.getTimestamp()); String txt = ent.toString(); ex.put("text", txt); events.add(ex); } // System.out.println("pending messages: "+pendingMessages.size()); root.put("starttime", starttime); root.put("endtime", endtime); JSONArray serversarray = new JSONArray(); root.put("servers", serversarray); Iterator iterator = servers.iterator(); while (iterator.hasNext()) { serversarray.add(iterator.next()); } }	long method	1 Long Method	t	f	t			0	11821	https://github.com/apache/zookeeper/blob/07c3aaf3d723fb3144c0aedc0c2b655325df70e9/zookeeper-contrib/zookeeper-contrib-loggraph/src/main/java/org/apache/zookeeper/graph/JsonGenerator.java/#L75-L213	1	1732	11821
653	{ "message": "YES I found bad smells", "the bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void run( IAction action ) { if ( !preGenerate( ) ) { return; } IFile file = getSelectedFile( ); if ( file != null ) { String url = file.getLocation( ).toOSString( ); Map options = new HashMap( ); options.put( WebViewer.RESOURCE_FOLDER_KEY, ReportPlugin.getDefault( ) .getResourceFolder( file.getProject( ) ) ); options.put( WebViewer.SERVLET_NAME_KEY, WebViewer.VIEWER_DOCUMENT ); Object adapter = ElementAdapterManager.getAdapter( action, IPreviewAction.class ); if ( adapter instanceof IPreviewAction ) { IPreviewAction delegate = (IPreviewAction) adapter; delegate.setProperty( IPreviewConstants.REPORT_PREVIEW_OPTIONS, options ); delegate.setProperty( IPreviewConstants.REPORT_FILE_PATH, url ); delegate.run( ); return; } try { WebViewer.display( url, options ); } catch ( Exception e ) { ExceptionUtil.handle( e ); return; } } else { action.setEnabled( false ); } }	long method	long method	t	t	t			0	6389	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.preview.web/src/org/eclipse/birt/report/designer/ui/ide/navigator/GenerateDocumentAction.java/#L39-L87	1	653	6389
3795	{ "output": "YES I found bad smells", "bad smells are": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String toString() { StringBuilder sb = new StringBuilder(); sb.append(Constants.INDENT); sb.append("kdf: 0x"); sb.append(Functions.toFullHexString(kdf)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedDataLen: "); sb.append(pSharedData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedData: "); sb.append(Functions.toHexString(pSharedData)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicDataLen: "); sb.append(pPublicData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicData: "); sb.append(Functions.toHexString(pPublicData)); //buffer.append(Constants.NEWLINE); return sb.toString(); }	long method	1. long method	t	t	t			0	9593	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/wrapper/CK_ECDH1_DERIVE_PARAMS.java/#L107-L136	1	3795	9593
4487	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static List> getFacilityContactMechValueMaps(Delegator delegator, String facilityId, boolean showOld, String contactMechTypeId) { List> facilityContactMechValueMaps = new LinkedList>(); List allFacilityContactMechs = null; try { List tempCol = EntityQuery.use(delegator).from("FacilityContactMech").where("facilityId", facilityId).queryList(); if (contactMechTypeId != null) { List tempColTemp = new LinkedList(); for (GenericValue partyContactMech: tempCol) { GenericValue contactMech = delegator.getRelatedOne("ContactMech", partyContactMech, false); if (contactMech != null && contactMechTypeId.equals(contactMech.getString("contactMechTypeId"))) { tempColTemp.add(partyContactMech); } } tempCol = tempColTemp; } if (!showOld) tempCol = EntityUtil.filterByDate(tempCol, true); allFacilityContactMechs = tempCol; } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (allFacilityContactMechs == null) return facilityContactMechValueMaps; for (GenericValue facilityContactMech: allFacilityContactMechs) { GenericValue contactMech = null; try { contactMech = facilityContactMech.getRelatedOne("ContactMech", false); } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (contactMech != null) { Map facilityContactMechValueMap = new HashMap(); facilityContactMechValueMaps.add(facilityContactMechValueMap); facilityContactMechValueMap.put("contactMech", contactMech); facilityContactMechValueMap.put("facilityContactMech", facilityContactMech); try { facilityContactMechValueMap.put("contactMechType", contactMech.getRelatedOne("ContactMechType", true)); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { List facilityContactMechPurposes = facilityContactMech.getRelated("FacilityContactMechPurpose", null, null, false); if (!showOld) facilityContactMechPurposes = EntityUtil.filterByDate(facilityContactMechPurposes, true); facilityContactMechValueMap.put("facilityContactMechPurposes", facilityContactMechPurposes); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { if ("POSTAL_ADDRESS".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("postalAddress", contactMech.getRelatedOne("PostalAddress", false)); } else if ("TELECOM_NUMBER".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("telecomNumber", contactMech.getRelatedOne("TelecomNumber", false)); } } catch (GenericEntityException e) { Debug.logWarning(e, module); } } } return facilityContactMechValueMaps; }	long method	Long method2 Feature envy	t	f	t			0	11883	https://github.com/apache/ofbiz/blob/7ba7f3c2e16df6c8db0d8114e124957199cea1ff/applications/party/src/main/java/org/apache/ofbiz/party/contact/ContactMechWorker.java/#L129-L198	2	4487	11883
2573	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected static void initialize() { STRAM.setChildren(Sets.newHashSet(APPLICATION, TEMPLATE)); APPLICATION.setChildren(Sets.newHashSet(GATEWAY, OPERATOR, STREAM)); OPERATOR.setChildren(Sets.newHashSet(PORT)); PORT.setChildren(Sets.newHashSet(UNIFIER)); STRAM_ELEMENT_TO_CONF_ELEMENT.clear(); //Initialize StramElement to ConfElement for (ConfElement confElement: ConfElement.values()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(confElement.getStramElement(), confElement); for (StramElement sElement: confElement.getAllRelatedElements()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(sElement, confElement); } } //Initialize attributes for (ConfElement confElement: ConfElement.values()) { if (confElement.getParent() == null) { continue; } setAmbiguousAttributes(confElement); } // build context to conf element map CONTEXT_TO_CONF_ELEMENT.clear(); for (ConfElement confElement: ConfElement.values()) { CONTEXT_TO_CONF_ELEMENT.put(confElement.getContextClass(), confElement); } //Check if all the context classes are accounted for Set> confElementContextClasses = Sets.newHashSet(); for (ConfElement confElement: ConfElement.values()) { if (confElement.getContextClass() == null) { continue; } confElementContextClasses.add(confElement.getContextClass()); } if (!ContextUtils.CONTEXT_CLASSES.equals(confElementContextClasses)) { throw new IllegalStateException("All the context classes " + ContextUtils.CONTEXT_CLASSES + " found in " + Context.class + " are not used by ConfElements " + confElementContextClasses); } }	long method	Long method	t	f	t			0	14908	https://github.com/apache/apex-core/blob/d17f464fcaf19778e2f8edbe2b03419151558068/engine/src/main/java/com/datatorrent/stram/plan/logical/LogicalPlanConfiguration.java/#L230-L279	2	2573	14908
483	YES I found bad smells the bad smells are: 1. Long method 2. Lack of abstraction/encapsulation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void close() throws IOException { boolean success = false; try { if (meta != null) { meta.writeInt(-1); // write EOF marker CodecUtil.writeFooter(meta); // write checksum } if (data != null) { CodecUtil.writeFooter(data); // write checksum } success = true; } finally { if (success) { IOUtils.close(data, meta); } else { IOUtils.closeWhileHandlingException(data, meta); } meta = data = null; } }	long method	Long method2 Lack of abstraction/encapsulation	t	f	t			0	4713	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/backward-codecs/src/java/org/apache/lucene/codecs/lucene70/Lucene70DocValuesConsumer.java/#L83-L103	2	483	4713
643	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code (multiple if-else statements) 4. Inappropriate type (using String instead of a constant or boolean) 5. Inconsistent formatting (missing spaces before and after braces) 6. Poor naming of variables (sel, sql, buf) 7. Tight coupling (method is heavily reliant on external methods and objects)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected SQLBuffer toBulkOperation(ClassMapping mapping, Select sel, JDBCStore store, Object[] params, Map updateParams) { SQLBuffer sql = new SQLBuffer(this); if (updateParams == null) { if (requiresTargetForDelete) { sql.append("DELETE "); SQLBuffer deleteTargets = getDeleteTargets(sel); sql.append(deleteTargets); sql.append(" FROM "); } else { sql.append("DELETE FROM "); } } else sql.append("UPDATE "); sel.addJoinClassConditions(); // if there is only a single table in the select, then we can // just issue a single DELETE FROM TABLE WHERE // statement; otherwise, since SQL doesn't allow deleting // from one of a multi-table select, we need to issue a subselect // like DELETE FROM TABLE WHERE EXISTS // (SELECT 1 FROM TABLE t0 WHERE t0.ID = TABLE.ID); also, some // databases do not allow aliases in delete statements, which // also causes us to use a subselect Collection selectedTables = getSelectTableAliases(sel); if (selectedTables.size() == 1 && supportsSubselect && allowsAliasInBulkClause) { SQLBuffer from; if (sel.getFromSelect() != null) from = getFromSelect(sel, false); else from = getFrom(sel, false); sql.append(from); appendUpdates(sel, store, sql, params, updateParams, allowsAliasInBulkClause); SQLBuffer where = sel.getWhere(); if (where != null && !where.isEmpty()) { sql.append(" WHERE "); sql.append(where); } return sql; } Table table = mapping.getTable(); String tableName = getFullName(table, false); // only use a subselect if the where is not empty; otherwise // an unqualified delete or update will work if (sel.getWhere() == null || sel.getWhere().isEmpty()) { sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); return sql; } // we need to use a subselect if we are to bulk delete where // the select includes multiple tables; if the database // doesn't support it, then we need to signal this by returning null if (!supportsSubselect || !supportsCorrelatedSubselect) return null; Column[] pks = mapping.getPrimaryKeyColumns(); sel.clearSelects(); sel.setDistinct(true); // if we have only a single PK, we can use a non-correlated // subquery (using an IN statement), which is much faster than // a correlated subquery (since a correlated subquery needs // to be executed once for each row in the table) if (pks.length == 1) { sel.select(pks[0]); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE "). append(pks[0]).append(" IN ("). append(sel.toSelect(false, null)).append(")"); } else { sel.clearSelects(); sel.setDistinct(false); // since the select is using a correlated subquery, we // only need to select a bogus virtual column sel.select("1", null); // add in the joins to the table Column[] cols = table.getPrimaryKey().getColumns(); SQLBuffer buf = new SQLBuffer(this); buf.append("("); for (int i = 0; i < cols.length; i++) { if (i > 0) buf.append(" AND "); // add in "t0.PK = MYTABLE.PK" buf.append(sel.getColumnAlias(cols[i])).append(" = "). append(table).append(catalogSeparator).append(cols[i]); } buf.append(")"); sel.where(buf, null); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE EXISTS ("). append(sel.toSelect(false, null)).append(")"); } return sql; }	long method	Long method2 Feature envy3 Duplicate code (multiple if-else statements)4 Inappropriate type (using String instead of a constant or boolean)5 Inconsistent formatting (missing spaces before and after braces)6 Poor naming of variables (sel, sql, buf)7 Tight coupling (method is heavily reliant on external methods and objects)	t	f	t	sql, buf)7. Tight coupling (method is heavily reliant on external methods and objects)		0	6354	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DBDictionary.java/#L2243-L2350	2	643	6354
240	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void parseQuotedValue(byte prev) throws IOException { final byte newLine = this.newLine; final byte delimiter = this.delimiter; final TextOutput output = this.output; final TextInput input = this.input; final byte quote = this.quote; ch = input.nextCharNoNewLineCheck(); while (!(prev == quote && (ch == delimiter || ch == newLine || isWhite(ch)))) { if (ch != quote) { if (prev == quote) { // unescaped quote detected if (parseUnescapedQuotes) { output.append(quote); output.append(ch); parseQuotedValue(ch); break; } else { throw new TextParsingException( context, "Unescaped quote character '" + quote + "' inside quoted value of CSV field. To allow unescaped quotes, set 'parseUnescapedQuotes' to 'true' in the CSV parser settings. Cannot parse CSV input."); } } output.append(ch); prev = ch; } else if (prev == quoteEscape) { output.append(quote); prev = NULL_BYTE; } else { prev = ch; } ch = input.nextCharNoNewLineCheck(); } // Handles whitespaces after quoted value: // Whitespaces are ignored (i.e., ch <= ' ') if they are not used as delimiters (i.e., ch != ' ') // For example, in tab-separated files (TSV files), '\t' is used as delimiter and should not be ignored // Content after whitespaces may be parsed if 'parseUnescapedQuotes' is enabled. if (ch != newLine && ch <= ' ' && ch != delimiter) { final DrillBuf workBuf = this.workBuf; workBuf.resetWriterIndex(); do { // saves whitespaces after value workBuf.writeByte(ch); ch = input.nextChar(); // found a new line, go to next record. if (ch == newLine) { return; } } while (ch <= ' ' && ch != delimiter); // there's more stuff after the quoted value, not only empty spaces. if (!(ch == delimiter || ch == newLine) && parseUnescapedQuotes) { output.append(quote); for(int i =0; i < workBuf.writerIndex(); i++){ output.append(workBuf.getByte(i)); } // the next character is not the escape character, put it there if (ch != quoteEscape) { output.append(ch); } // sets this character as the previous character (may be escaping) // calls recursively to keep parsing potentially quoted content parseQuotedValue(ch); } } if (!(ch == delimiter || ch == newLine)) { throw new TextParsingException(context, "Unexpected character '" + ch + "' following quoted value of CSV field. Expecting '" + delimiter + "'. Cannot parse CSV input."); } }	long method	long method	t	t	t			0	2628	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/store/easy/text/compliant/TextReader.java/#L226-L300	1	240	2628
48	{ "response": "YES I found bad smells", "bad smells are": [ "Long method", "Repeated code" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Object getApplicationToRun(String[] args) throws CoreException { String configuredApplication = getConfiguredApplication(args); if (configuredApplication == null) { configuredApplication = DEFAULT_APP_3_0; } else { System.out.println("Launching application " + configuredApplication + "..."); } // Assume we are in 3.0 mode. // Find the name of the application as specified by the PDE JUnit launcher. // If no application is specified, the 3.0 default workbench application // is returned. IExtension extension = Platform.getExtensionRegistry().getExtension(Platform.PI_RUNTIME, Platform.PT_APPLICATIONS, configuredApplication); // If no 3.0 extension can be found, search the registry // for the pre-3.0 default workbench application, i.e. org.eclipse ui.workbench // Set the deprecated flag to true if (extension == null) { return null; } // If the extension does not have the correct grammar, return null. // Otherwise, return the application object. IConfigurationElement[] elements = extension.getConfigurationElements(); if (elements.length > 0) { IConfigurationElement[] runs = elements[0].getChildren("run"); //$NON-NLS-1$ if (runs.length > 0) { return runs[0].createExecutableExtension("class"); //$NON-NLS-1$ } } return null; }	long method	long method, repeated code	t	t	t	repeated code		0	854	https://github.com/eclipse/tycho/blob/913062f90a6bad5c8c2b57c77111a52e698105d5/tycho-surefire/org.eclipse.tycho.surefire.osgibooter/src/main/java/org/eclipse/tycho/surefire/osgibooter/AbstractUITestApplication.java/#L67-L99	2	48	854
1003	Yes, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Inappropriate naming convention (variable names)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void handleRemainder() { final int remainingRecordCount = incoming.getRecordCount() - remainderIndex; assert this.memoryManager.incomingBatch == incoming; final int recordsToProcess = Math.min(remainingRecordCount, memoryManager.getOutputRowCount()); if (!doAlloc(recordsToProcess)) { outOfMemory = true; return; } logger.trace("handleRemainder: remaining RC {}, toProcess {}, remainder index {}, incoming {}, Project {}", remainingRecordCount, recordsToProcess, remainderIndex, incoming, this); long projectStartTime = System.currentTimeMillis(); final int projRecords = projector.projectRecords(this.incoming, remainderIndex, recordsToProcess, 0); long projectEndTime = System.currentTimeMillis(); logger.trace("handleRemainder: projection: records {}, time {} ms", projRecords,(projectEndTime - projectStartTime)); if (projRecords < remainingRecordCount) { setValueCount(projRecords); this.recordCount = projRecords; remainderIndex += projRecords; } else { setValueCount(remainingRecordCount); hasRemainder = false; remainderIndex = 0; for (final VectorWrapper v : incoming) { v.clear(); } this.recordCount = remainingRecordCount; } // In case of complex writer expression, vectors would be added to batch run-time. // We have to re-build the schema. if (complexWriters != null) { container.buildSchema(SelectionVectorMode.NONE); } memoryManager.updateOutgoingStats(projRecords); RecordBatchStats.logRecordBatchStats(RecordBatchIOType.OUTPUT, this, getRecordBatchStatsContext()); }	long method	Long method2 Feature envy3 Inappropriate naming convention (variable names)	t	f	t			0	9230	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/project/ProjectRecordBatch.java/#L259-L299	2	1003	9230
1644	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	Long Method	t	f	t			0	11558	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	1	1644	11558
1125	YES I found bad smells. The bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Collection validate(final ValidationContext validationContext, final CredentialsStrategy primaryStrategy) { boolean thisIsSelectedStrategy = this == primaryStrategy; Boolean useStrategy = validationContext.getProperty(strategyProperty).asBoolean(); if (!thisIsSelectedStrategy && useStrategy) { String failureFormat = "property %1$s cannot be used with %2$s"; Collection validationFailureResults = new ArrayList(); String message = String.format(failureFormat, strategyProperty.getDisplayName(), primaryStrategy.getName()); validationFailureResults.add(new ValidationResult.Builder() .subject(strategyProperty.getDisplayName()) .valid(false) .explanation(message).build()); return validationFailureResults; } return null; }	long method	Long method	t	f	t			0	10003	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/credentials/provider/factory/strategies/AbstractBooleanCredentialsStrategy.java/#L51-L68	2	1125	10003
4065	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public CreatePreauthenticatedRequestResponse createPreauthenticatedRequest( CreatePreauthenticatedRequestRequest request) { LOG.trace("Called createPreauthenticatedRequest"); request = CreatePreauthenticatedRequestConverter.interceptRequest(request); com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = CreatePreauthenticatedRequestConverter.fromRequest(client, request); com.google.common.base.Function< javax.ws.rs.core.Response, CreatePreauthenticatedRequestResponse> transformer = CreatePreauthenticatedRequestConverter.fromResponse(); int attempts = 0; while (true) { try { javax.ws.rs.core.Response response = client.post(ib, request.getCreatePreauthenticatedRequestDetails(), request); return transformer.apply(response); } catch (com.oracle.bmc.model.BmcException e) { if (++attempts < MAX_IMMEDIATE_RETRIES_IF_USING_INSTANCE_PRINCIPALS && canRetryRequestIfRefreshableAuthTokenUsed(e)) { continue; } else { throw e; } } } }	long method	long method	t	t	t			0	10729	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-objectstorage/bmc-objectstorage-generated/src/main/java/com/oracle/bmc/objectstorage/ObjectStorageClient.java/#L526-L552	1	4065	10729
1443	YES, I found bad smells the bad smells are: 1. Long Method, 2. Duplicated Code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void writeJSON( final Writer pw, final ServiceReference service, final boolean fullDetails, final Locale locale, final String filter ) throws IOException { final ServiceReference[] allServices = this.getServices(filter); final String statusLine = getStatusLine( allServices ); final ServiceReference[] services = ( service != null ) ? new ServiceReference[] { service } : allServices; final JSONWriter jw = new JSONWriter( pw ); jw.object(); jw.key( "status" ); jw.value( statusLine ); jw.key( "serviceCount" ); jw.value( allServices.length ); jw.key( "data" ); jw.array(); for ( int i = 0; i < services.length; i++ ) { serviceInfo( jw, services[i], fullDetails || service != null, locale ); } jw.endArray(); jw.endObject(); }	long method	Long Method, 2 Duplicated Code	t	f	t	2. Duplicated Code		0	10977	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/webconsole/src/main/java/org/apache/felix/webconsole/internal/core/ServicesServlet.java/#L342-L374	2	1443	10977
1287	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static void copyDirectory(final File srcDir, final File destDir) throws IOException { if (srcDir == null) { throw new NullPointerException("Source must not be null"); } if (destDir == null) { throw new NullPointerException("Destination must not be null"); } if (!srcDir.exists()) { throw new FileNotFoundException("Source '" + srcDir + "' does not exist"); } if (!srcDir.isDirectory()) { throw new IOException("Source '" + srcDir + "' exists but is not a directory"); } if (srcDir.getCanonicalPath().equals(destDir.getCanonicalPath())) { throw new IOException("Source '" + srcDir + "' and destination '" + destDir + "' are the same"); } // Cater for destination being directory within the source directory (see IO-141) List exclusionList = null; if (destDir.getCanonicalPath().startsWith(srcDir.getCanonicalPath())) { final File[] srcFiles = srcDir.listFiles(); if (srcFiles != null && srcFiles.length > 0) { exclusionList = new ArrayList<>(srcFiles.length); for (final File srcFile : srcFiles) { final File copiedFile = new File(destDir, srcFile.getName()); exclusionList.add(copiedFile.getCanonicalPath()); } } } doCopyDirectory(srcDir, destDir, exclusionList); }	long method	Long method2 Feature envy	t	f	t			0	10613	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-loader/src/main/java/org/apache/openejb/loader/IO.java/#L193-L223	2	1287	10613
999	"YES, I found bad smells. The bad smells are: 1. Long method, 2. Feature envy."	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: Type asTuple() { final Type result; if (types.size() == 0) { result = unit.getEmptyType(); } else { final Type sequentialType; if (variadic) { Part part = new Part("Sequence", Collections.singletonList(getLast())); sequentialType = loadType("ceylon.language", atLeastOne ? "ceylon.language.Sequence" : "ceylon.language.Sequential", part, null); } else { sequentialType = unit.getEmptyType(); } if (variadic && types.size() == 1) { result = sequentialType; } else { Part part = new Part(); // if we're variadic we put the element type there because we skip it below // if we're not variadic we are not going to skip it so let's not union it with itself Type union = variadic ? getLast() : null; Type tupleType = sequentialType; // A,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // A=,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // tupleType = [A,[B]|[]]|[] // A=,B* // union = B // tupleType = [B*] // t = A // union = A|B // tupleType = [A,[B*]] // tupleType = [A,[B*]]|[] int makeDefaulted = defaulted; for (int ii = types.size()-(variadic? 2 : 1); ii >= 0; ii--) { Type t = types.get(ii); // FIXME: subtyping in the type parser may cause issues if(union != null) // any second element (variadic or not) union = ModelUtil.unionType(union, t, unit); else union = t; // any first element part.parameters = Arrays.asList(union, t, tupleType); part.name = "Tuple"; tupleType = loadType("ceylon.language", "ceylon.language.Tuple", part, null); if(makeDefaulted > 0){ makeDefaulted--; tupleType = union(Arrays.asList(unit.getEmptyType(), tupleType), unit); } } result = tupleType; } } return result; }	long method	Long method, 2 Feature envy"	t	f	t	2. Feature envy."		0	9162	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/model/src/org/eclipse/ceylon/model/loader/TypeParser.java/#L431-L505	2	999	9162
402	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Object invoke(String methodName, Object returnValueIfNonExistent, Class[] paramTypes, Object[] params) throws DocletInvokeException { Method meth; try { meth = docletClass.getMethod(methodName, paramTypes); } catch (NoSuchMethodException exc) { if (returnValueIfNonExistent == null) { messager.error(Messager.NOPOS, "main.doclet_method_not_found", docletClassName, methodName); throw new DocletInvokeException(); } else { return returnValueIfNonExistent; } } catch (SecurityException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } if (!Modifier.isStatic(meth.getModifiers())) { messager.error(Messager.NOPOS, "main.doclet_method_must_be_static", docletClassName, methodName); throw new DocletInvokeException(); } ClassLoader savedCCL = Thread.currentThread().getContextClassLoader(); try { if (appClassLoader != null) // will be null if doclet class provided via API Thread.currentThread().setContextClassLoader(appClassLoader); return meth.invoke(null , params); } catch (IllegalArgumentException | NullPointerException exc) { messager.error(Messager.NOPOS, "main.internal_error_exception_thrown", docletClassName, methodName, exc.toString()); throw new DocletInvokeException(); } catch (IllegalAccessException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } catch (InvocationTargetException exc) { Throwable err = exc.getTargetException(); if (apiMode) throw new ClientCodeException(err); if (err instanceof java.lang.OutOfMemoryError) { messager.error(Messager.NOPOS, "main.out.of.memory"); } else { messager.error(Messager.NOPOS, "main.exception_thrown", docletClassName, methodName, exc.toString()); exc.getTargetException().printStackTrace(System.err); } throw new DocletInvokeException(); } finally { Thread.currentThread().setContextClassLoader(savedCCL); } }	long method	Long method2 Feature envy	t	f	t			0	4103	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.javadoc/share/classes/com/sun/tools/javadoc/main/DocletInvoker.java/#L303-L357	2	402	4103
5584	YES I found bad smells the smells are: 1. Feature envy 2. Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void finishRestore(final Timer.Context context, Map> commitToStats, List commitsToRollback, final String startRestoreTime, final String restoreToInstant) throws IOException { HoodieTable table = HoodieTable.getHoodieTable( new HoodieTableMetaClient(jsc.hadoopConfiguration(), config.getBasePath(), true), config, jsc); Optional durationInMs = Optional.empty(); Long numFilesDeleted = 0L; for (Map.Entry> commitToStat : commitToStats.entrySet()) { List stats = commitToStat.getValue(); numFilesDeleted = stats.stream().mapToLong(stat -> stat.getSuccessDeleteFiles().size()) .sum(); } if (context != null) { durationInMs = Optional.of(metrics.getDurationInMs(context.stop())); metrics.updateRollbackMetrics(durationInMs.get(), numFilesDeleted); } HoodieRestoreMetadata restoreMetadata = AvroUtils .convertRestoreMetadata(startRestoreTime, durationInMs, commitsToRollback, commitToStats); table.getActiveTimeline().saveAsComplete( new HoodieInstant(true, HoodieTimeline.RESTORE_ACTION, startRestoreTime), AvroUtils.serializeRestoreMetadata(restoreMetadata)); logger.info("Commits " + commitsToRollback + " rollback is complete. Restored dataset to " + restoreToInstant); if (!table.getActiveTimeline().getCleanerTimeline().empty()) { logger.info("Cleaning up older restore meta files"); // Cleanup of older cleaner meta files // TODO - make the commit archival generic and archive rollback metadata FSUtils.deleteOlderRollbackMetaFiles(fs, table.getMetaClient().getMetaPath(), table.getActiveTimeline().getRestoreTimeline().getInstants()); } }	long method	Feature envy2 Long method	t	f	t			0	9276	https://github.com/apache/incubator-hudi/blob/194d904c99ebd013af55eac7509e3e79193dce77/hoodie-client/src/main/java/com/uber/hoodie/HoodieWriteClient.java/#L928-L957	1	5584	9276
1660	{ "message": "YES I found bad smells", "bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static public Object postUpdate(String itemName, String stateString) { ItemRegistry registry = ScriptServiceUtil.getItemRegistry(); EventPublisher publisher = ScriptServiceUtil.getEventPublisher(); if (publisher != null && registry != null) { try { Item item = registry.getItem(itemName); State state = TypeParser.parseState(item.getAcceptedDataTypes(), stateString); if (state != null) { publisher.post(ItemEventFactory.createStateEvent(itemName, state)); } else { LoggerFactory.getLogger(BusEvent.class).warn( "Cannot convert '{}' to a state type which item '{}' accepts: {}.", stateString, itemName, getAcceptedDataTypeNames(item)); } } catch (ItemNotFoundException e) { LoggerFactory.getLogger(BusEvent.class).warn("Item '{}' does not exist.", itemName); } } return null; }	long method	Long Method	t	f	t			0	11609	https://github.com/eclipse/smarthome/blob/b8455de15d65512e8fac4e94d42de6ab2fccf1c5/bundles/model/org.eclipse.smarthome.model.script/src/org/eclipse/smarthome/model/script/actions/BusEvent.java/#L153-L172	1	1660	11609
1739	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private synchronized Map getResourceBundleEntries(final Bundle bundle) { String file = (String) bundle.getHeaders().get(Constants.BUNDLE_LOCALIZATION); if (file == null) { file = Constants.BUNDLE_LOCALIZATION_DEFAULT_BASENAME; } // remove leading slash if (file.startsWith("/")) //$NON-NLS-1$ { file = file.substring(1); } // split path and base name int slash = file.lastIndexOf('/'); String fileName = file.substring(slash + 1); String path = (slash <= 0) ? "/" : file.substring(0, slash); //$NON-NLS-1$ HashMap resourceBundleEntries = new HashMap(); Enumeration locales = bundle.findEntries(path, fileName + "*.properties", false); //$NON-NLS-1$ if (locales != null) { while (locales.hasMoreElements()) { URL entry = (URL) locales.nextElement(); // calculate the key String entryPath = entry.getPath(); final int start = entryPath.lastIndexOf('/') + 1 + fileName.length(); // path, // slash // and // base // name final int end = entryPath.length() - 11; // .properties suffix entryPath = entryPath.substring(start, end); // the default language is "name.properties" thus the entry // path is empty and must default to "_"+DEFAULT_LOCALE if (entryPath.length() == 0) { entryPath = "_" + DEFAULT_LOCALE; //$NON-NLS-1$ } // only add this entry, if the "language" is not provided // by the main bundle or an earlier bound fragment if (!resourceBundleEntries.containsKey(entryPath)) { resourceBundleEntries.put(entryPath, entry); } } } return resourceBundleEntries; }	long method	Long Method	t	f	t			0	11836	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/inventory/src/main/java/org/apache/felix/inventory/impl/webconsole/ResourceBundleManager.java/#L134-L189	1	1739	11836
2527	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void tryStoreVectorizedKey(HiveKey key, boolean partColsIsNull, int batchIndex) throws HiveException, IOException { // Assumption - batchIndex is increasing; startVectorizedBatch was called int size = indexes.size(); int index = size < topN ? size : evicted; keys[index] = Arrays.copyOf(key.getBytes(), key.getLength()); distKeyLengths[index] = key.getDistKeyLength(); hashes[index] = key.hashCode(); Integer collisionIndex = indexes.store(index); if (null != collisionIndex) { /* * since there is a collision index will be used for the next value * so have the map point back to original index. */ if ( indexes instanceof HashForGroup ) { indexes.store(collisionIndex); } // forward conditional on the survival of the corresponding key currently in indexes. ++batchNumForwards; batchIndexToResult[batchIndex] = MAY_FORWARD - collisionIndex; return; } indexToBatchIndex[index] = batchIndex; batchIndexToResult[batchIndex] = index; if (size != topN) return; evicted = indexes.removeBiggest(); // remove the biggest key if (index == evicted) { excluded++; batchIndexToResult[batchIndex] = EXCLUDE; indexToBatchIndex[index] = -1; return; // input key is bigger than any of keys in hash } removed(evicted); int evictedBatchIndex = indexToBatchIndex[evicted]; if (evictedBatchIndex >= 0) { // reset the result for the evicted index batchIndexToResult[evictedBatchIndex] = EXCLUDE; indexToBatchIndex[evicted] = -1; } // Evict all results grouped with this index; it cannot be any key further in the batch. // If we evict a key from this batch, the keys grouped with it cannot be earlier that that key. // If we evict a key that is not from this batch, initial i = (-1) + 1 = 0, as intended. int evictedForward = (MAY_FORWARD - evicted); for (int i = evictedBatchIndex + 1; i < batchIndex && (batchNumForwards > 0); ++i) { if (batchIndexToResult[i] == evictedForward) { batchIndexToResult[i] = EXCLUDE; --batchNumForwards; } } }	long method	long method	t	t	t			0	14726	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/TopNHash.java/#L213-L262	1	2527	14726
2221	Yes I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @MultiMQAdminCmdMethod public Map resetOffset(ResetOffsetRequest resetOffsetRequest) { Map groupRollbackStats = Maps.newHashMap(); for (String consumerGroup : resetOffsetRequest.getConsumerGroupList()) { try { Map rollbackStatsMap = mqAdminExt.resetOffsetByTimestamp(resetOffsetRequest.getTopic(), consumerGroup, resetOffsetRequest.getResetTime(), resetOffsetRequest.isForce()); ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = consumerGroupRollBackStat.getRollbackStatsList(); for (Map.Entry rollbackStatsEntty : rollbackStatsMap.entrySet()) { RollbackStats rollbackStats = new RollbackStats(); rollbackStats.setRollbackOffset(rollbackStatsEntty.getValue()); rollbackStats.setQueueId(rollbackStatsEntty.getKey().getQueueId()); rollbackStats.setBrokerName(rollbackStatsEntty.getKey().getBrokerName()); rollbackStatsList.add(rollbackStats); } groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); } catch (MQClientException e) { if (ResponseCode.CONSUMER_NOT_ONLINE == e.getResponseCode()) { try { ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = mqAdminExt.resetOffsetByTimestampOld(consumerGroup, resetOffsetRequest.getTopic(), resetOffsetRequest.getResetTime(), true); consumerGroupRollBackStat.setRollbackStatsList(rollbackStatsList); groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); continue; } catch (Exception err) { logger.error("op=resetOffset_which_not_online_error", err); } } else { logger.error("op=resetOffset_error", e); } groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } catch (Exception e) { logger.error("op=resetOffset_error", e); groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } } return groupRollbackStats; }	long method	Long method2 Feature envy	t	f	t			0	13553	https://github.com/apache/rocketmq-externals/blob/dba6eb0c997d5c325f26b3d1da9d739d927228dc/rocketmq-console/src/main/java/org/apache/rocketmq/console/service/impl/ConsumerServiceImpl.java/#L208-L251	2	2221	13553
1861	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	Long method2 Feature envy	t	f	t			0	12222	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	2	1861	12222
717	YES, I found bad smells. the bad smells are: 1. Long method, 2. Feature envy, 3. Magic numbers, 4. Use of try-with-resources blocks for unrelated classes, 5. Inconsistent indentation, 6. Lack of comments and explanatory code, 7. Lack of meaningful variable and method names, 8. Duplicate code in try-with-resources blocks, 9. Use of multiple nested try-catch blocks, 10. Use of compound assignments for complex logic.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void emitStackMove(CompilationResultBuilder crb, AArch64MacroAssembler masm, AllocatableValue result, Value input) { try (ScratchRegister r1 = masm.getScratchRegister()) { try (ScratchRegister r2 = masm.getScratchRegister()) { Register rscratch1 = r1.getRegister(); Register rscratch2 = r2.getRegister(); // use the slot kind to define the operand size PlatformKind kind = input.getPlatformKind(); final int size = kind.getSizeInBytes() * Byte.SIZE; // Always perform stack -> stack copies through integer registers crb.blockComment("[stack -> stack copy]"); AArch64Address src = loadStackSlotAddress(crb, masm, asStackSlot(input), rscratch2); masm.ldr(size, rscratch1, src); AArch64Address dst = loadStackSlotAddress(crb, masm, asStackSlot(result), rscratch2); masm.str(size, rscratch1, dst); } } }	long method	Long method, 2 Feature envy, 3 Magic numbers, 4 Use of try-with-resources blocks for unrelated classes, 5 Inconsistent indentation, 6 Lack of comments and explanatory code, 7 Lack of meaningful variable and method names, 8 Duplicate code in try-with-resources blocks, 9 Use of multiple nested try-catch blocks,	t	f	t	2. Feature envy, 3. Magic numbers, 4. Use of try-with-resources blocks for unrelated classes, 5. Inconsistent indentation, 6. Lack of comments and explanatory code, 7. Lack of meaningful variable and method names, 8. Duplicate code in try-with-resources blocks, 9. Use of multiple nested try-catch blocks,		0	6826	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.internal.vm.compiler/share/classes/org.graalvm.compiler.lir.aarch64/src/org/graalvm/compiler/lir/aarch64/AArch64Move.java/#L393-L410	2	717	6826
787	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public ServiceDefinition[] findServicesByToolID(final String toolId) { try { ensureDiskCacheLoaded(); accessLock.readLock().lock(); final boolean returnAll = toolId == null || toolId.length() == 0; final List requestedDefinitions = new ArrayList(); // Iterate the map of service types. Values are a map of service // instances. for (final Map mapServiceInstances : mapServices.values()) { for (final ServiceDefinition definition : mapServiceInstances.values()) { /* * NB! some service definitions in Dev12 QU1 may have null * ToolID */ if (returnAll || toolId.equalsIgnoreCase(definition.getToolID())) { requestedDefinitions.add((ServiceDefinition) definition.clone()); } } } // Return null if no matching definitions were found. if (requestedDefinitions.size() == 0) { return null; } // Return an array of the matching service definitions. return requestedDefinitions.toArray(new ServiceDefinition[requestedDefinitions.size()]); } finally { accessLock.readLock().unlock(); } }	long method	long method	t	t	t			0	7509	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/clients/framework/location/internal/LocationCacheManager.java/#L399-L431	1	787	7509
1660	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy: The method uses multiple different objects from external classes, indicating a possible violation of encapsulation and dependency issues. 3. Inconsistent formatting: The use of different indentation and spacing throughout the code makes it less readable and inconsistent. 4. Inadequate exception handling: The method only logs the exception and returns null, which could lead to unexpected behavior and difficulty in debugging.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static public Object postUpdate(String itemName, String stateString) { ItemRegistry registry = ScriptServiceUtil.getItemRegistry(); EventPublisher publisher = ScriptServiceUtil.getEventPublisher(); if (publisher != null && registry != null) { try { Item item = registry.getItem(itemName); State state = TypeParser.parseState(item.getAcceptedDataTypes(), stateString); if (state != null) { publisher.post(ItemEventFactory.createStateEvent(itemName, state)); } else { LoggerFactory.getLogger(BusEvent.class).warn( "Cannot convert '{}' to a state type which item '{}' accepts: {}.", stateString, itemName, getAcceptedDataTypeNames(item)); } } catch (ItemNotFoundException e) { LoggerFactory.getLogger(BusEvent.class).warn("Item '{}' does not exist.", itemName); } } return null; }	long method	Long method2 Feature envy: The method uses multiple different objects from external classes, indicating a possible violation of encapsulation and dependency issues 3 Inconsistent formatting: The use of different indentation and spacing throughout the code makes it less readable and inconsistent 4 Inadequate exception handling: The method only logs the exception and returns null, which could lead to unexpected behavior and difficulty in debugging	t	f	t	indicating a possible violation of encapsulation and dependency issues. 3. Inconsistent formatting: The use of different indentation and spacing throughout the code makes it less readable and inconsistent. 4. Inadequate exception handling: The method only logs the exception and returns null, which could lead to unexpected behavior and difficulty in debugging.		0	11609	https://github.com/eclipse/smarthome/blob/b8455de15d65512e8fac4e94d42de6ab2fccf1c5/bundles/model/org.eclipse.smarthome.model.script/src/org/eclipse/smarthome/model/script/actions/BusEvent.java/#L153-L172	2	1660	11609
5193	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final void mRULE_ML_COMMENT() throws RecognitionException { try { int _type = RULE_ML_COMMENT; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalCrossReferenceProposalTestLanguage.g:169:17: ( '/*' ( options {greedy=false; } : . )* '*/' ) // InternalCrossReferenceProposalTestLanguage.g:169:19: '/*' ( options {greedy=false; } : . )* '*/' { match("/*"); // InternalCrossReferenceProposalTestLanguage.g:169:24: ( options {greedy=false; } : . )* loop7: do { int alt7=2; int LA7_0 = input.LA(1); if ( (LA7_0=='*') ) { int LA7_1 = input.LA(2); if ( (LA7_1=='/') ) { alt7=2; } else if ( ((LA7_1>='\u0000' && LA7_1<='.')||(LA7_1>='0' && LA7_1<='\uFFFF')) ) { alt7=1; } } else if ( ((LA7_0>='\u0000' && LA7_0<=')')||(LA7_0>='+' && LA7_0<='\uFFFF')) ) { alt7=1; } switch (alt7) { case 1 : // InternalCrossReferenceProposalTestLanguage.g:169:52: . { matchAny(); } break; default : break loop7; } } while (true); match("*/"); } state.type = _type; state.channel = _channel; } finally { } }	long method	1. long method	t	t	t			0	14519	https://github.com/eclipse/xtext-eclipse/blob/0c7546b6aaf3644a77fc68eef9f3da368cbbeabd/org.eclipse.xtext.ui.tests/src-gen/org/eclipse/xtext/ui/tests/editor/contentassist/parser/antlr/internal/InternalCrossReferenceProposalTestLanguageLexer.java/#L373-L429	1	5193	14519
2540	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	Long method2 Feature envy	t	f	t			0	14774	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	2	2540	14774
1432	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3.Duplicate code, 4.Long parameter list, 5. Feature envy, 6. Poor variable naming	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: void getHashes(List searchHashes, int bitShift) { // We don't need to include 0 because that's always assumed in look ups. If we do return 0, that // means this agent isn't sure what it needs, but the inverse is acceptable because that just // means the airing doesn't know what it matches and it will be tested on all of the agents. searchHashes.clear(); if (title != null) { searchHashes.add((title.ignoreCaseHash >>> bitShift)); } if (person != null) { addHash(person.ignoreCaseHash, searchHashes, bitShift); } if (category != null) { addHash(category.ignoreCaseHash, searchHashes, bitShift); } if (subCategory != null) { addHash(subCategory.ignoreCaseHash, searchHashes, bitShift); } if (chanName.length() > 0) { addHash(chanName.hashCode(), searchHashes, bitShift); } if (chanNames != null && chanNames.length > 0) { for (String chanName : chanNames) { addHash(chanName.hashCode(), searchHashes, bitShift); } } if (network != null) { addHash(network.ignoreCaseHash, searchHashes, bitShift); } if (rated != null) { addHash(rated.ignoreCaseHash, searchHashes, bitShift); } if (year != null) { addHash(year.ignoreCaseHash, searchHashes, bitShift); } if (pr != null) { addHash(pr.ignoreCaseHash, searchHashes, bitShift); } // This will ensure that we do a full search since 0 means at least one of our items doesn't // have a "valid" hash. if (searchHashes.contains(0)) searchHashes.clear(); }	long method	Long method, 2Magic numbers, 3Duplicate code, 4Long parameter list, 5 Feature envy, 6 Poor variable naming	t	f	t	2.Magic numbers, 3.Duplicate code, 4.Long parameter list, 5. Feature envy, 6. Poor variable naming		0	10956	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Agent.java/#L1825-L1889	2	1432	10956
2040	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean isValidSyntax( Object value ) { String strValue; if ( value == null ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, "null" ) ); } return false; } if ( value instanceof String ) { strValue = ( String ) value; } else if ( value instanceof byte[] ) { strValue = Strings.utf8ToString( ( byte[] ) value ); } else { strValue = value.toString(); } // We must have at least '(cp)', '(xr)' or '(ca)' if ( strValue.length() < 4 ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check the opening and closing parenthesis if ( ( strValue.charAt( 0 ) != '(' ) || ( strValue.charAt( strValue.length() - 1 ) != ')' ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } Set keywords = new HashSet<>(); int len = strValue.length() - 1; boolean needKeyword = true; // for ( int i = 1; i < len; /* */) { // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } int pos = i; // Search for a keyword while ( ( i < len ) && Chars.isAlphaASCII( strValue, pos ) ) { pos++; } if ( pos == i ) { // No keyword : error if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } String keyword = strValue.substring( i, pos ); i = pos; if ( !DSE_BITS.contains( keyword ) ) { // Unknown keyword if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check that the keyword has not been met if ( keywords.contains( keyword ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } keywords.add( keyword ); needKeyword = false; // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } // Do we have another keyword ? if ( ( i < len ) && ( strValue.charAt( i ) == '$' ) ) { // yes i++; needKeyword = true; } } // We are done if ( LOG.isDebugEnabled() ) { if ( needKeyword ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } else { LOG.debug( I18n.msg( I18n.MSG_13701_SYNTAX_VALID, value ) ); } } return !needKeyword; }	long method	long method, blob	t	t	t	blob		0	12850	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/schema/syntaxCheckers/DseTypeSyntaxChecker.java/#L133-L273	1	2040	12850
1502	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void refreshInternal(Collection objs, OpCallbacks call) { if (objs == null || objs.isEmpty()) return; List exceps = null; try { // collect instances that need a refresh Collection load = null; StateManagerImpl sm; Object obj; for (Iterator itr = objs.iterator(); itr.hasNext();) { obj = itr.next(); if (obj == null) continue; try { sm = getStateManagerImpl(obj, true); if ((processArgument(OpCallbacks.OP_REFRESH, obj, sm, call) & OpCallbacks.ACT_RUN) == 0) continue; if (sm != null) { if (sm.isDetached()) throw newDetachedException(obj, "refresh"); else if (sm.beforeRefresh(true)) { if (load == null) load = new ArrayList<>(objs.size()); load.add(sm); } int level = _fc.getReadLockLevel(); int timeout = _fc.getLockTimeout(); _lm.refreshLock(sm, level, timeout, null); sm.readLocked(level, level); } else if (assertPersistenceCapable(obj).pcIsDetached() == Boolean.TRUE) throw newDetachedException(obj, "refresh"); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } // refresh all if (load != null) { Collection failed = _store.loadAll(load, null, StoreManager.FORCE_LOAD_REFRESH, _fc, null); if (failed != null && !failed.isEmpty()) exceps = add(exceps, newObjectNotFoundException(failed)); // perform post-refresh transitions and make sure all fetch // group fields are loaded for (Iterator itr = load.iterator(); itr.hasNext();) { sm = (StateManagerImpl) itr.next(); if (failed != null && failed.contains(sm.getId())) continue; try { sm.afterRefresh(); sm.load(_fc, StateManagerImpl.LOAD_FGS, null, null, false); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } // now invoke postRefresh on all the instances for (Iterator itr = objs.iterator(); itr.hasNext();) { try { sm = getStateManagerImpl(itr.next(), true); if (sm != null && !sm.isDetached()) fireLifecycleEvent(sm.getManagedInstance(), null, sm.getMetaData(), LifecycleEvent.AFTER_REFRESH); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } catch (OpenJPAException ke) { throw ke; } catch (RuntimeException re) { throw new GeneralException(re); } throwNestedExceptions(exceps, false); }	long method	long method, data class	t	t	t	data class		0	11135	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-kernel/src/main/java/org/apache/openjpa/kernel/BrokerImpl.java/#L3172-L3253	1	1502	11135
2395	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void afterValue( K key, V value ) throws LdapException, CursorException { checkNotClosed(); /* * There is a subtle difference between after and before handling * with duplicate key values. Say we have the following tuples: * * (0, 0) * (1, 1) * (1, 2) * (1, 3) * (2, 2) * * If we request an after cursor on (1, 2). We must make sure that * the container cursor does not advance after the entry with key 1 * since this would result in us skip returning (1. 3) on the call to * next which will incorrectly return (2, 2) instead. * * So if the value is null in the element then we don't care about * this obviously since we just want to advance past the duplicate key * values all together. But when it is not null, then we want to * go right before this key instead of after it. */ if ( value == null ) { containerCursor.after( new Tuple>( key, null ) ); } else { containerCursor.before( new Tuple>( key, null ) ); } if ( containerCursor.next() ) { containerTuple.setBoth( containerCursor.get() ); DupsContainer values = containerTuple.getValue(); if ( values.isArrayTree() ) { ArrayTree set = values.getArrayTree(); dupsCursor = new ArrayTreeCursor<>( set ); } else { try { BTree tree = table.getBTree( values.getBTreeRedirect() ); dupsCursor = new KeyBTreeCursor<>( tree, table.getValueComparator() ); } catch ( IOException e ) { throw new CursorException( e ); } } if ( value == null ) { return; } // only advance the dupsCursor if we're on same key if ( table.getKeyComparator().compare( containerTuple.getKey(), key ) == 0 ) { dupsCursor.after( value ); } return; } clearValue(); containerTuple.setKey( null ); containerTuple.setValue( null ); }	long method	long method, feature envy	t	t	t	feature envy		0	14373	https://github.com/apache/directory-server/blob/310007cc1c7eb5415f93bed67d5553bc70980820/jdbm-partition/src/main/java/org/apache/directory/server/core/partition/impl/btree/jdbm/DupsCursor.java/#L174-L247	1	2395	14373
1913	{ "response": "YES I found bad smells", "bad smells are": ["1. Long Method", "2. Data Class"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void set(Object obj, Object value) throws IllegalArgumentException, IllegalAccessException { ensureObj(obj); if (isFinal) { throwFinalFieldIllegalAccessException(value); } if (value == null) { throwSetIllegalArgumentException(value); } if (value instanceof Byte) { unsafe.putInt(obj, fieldOffset, ((Byte) value).byteValue()); return; } if (value instanceof Short) { unsafe.putInt(obj, fieldOffset, ((Short) value).shortValue()); return; } if (value instanceof Character) { unsafe.putInt(obj, fieldOffset, ((Character) value).charValue()); return; } if (value instanceof Integer) { unsafe.putInt(obj, fieldOffset, ((Integer) value).intValue()); return; } throwSetIllegalArgumentException(value); }	long method	1. long method, 2. data class	t	t	t	2. data class		0	12402	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.base/share/classes/jdk/internal/reflect/UnsafeIntegerFieldAccessorImpl.java/#L72-L99	1	1913	12402
5271	* * YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	Long method2 Feature envy	t	f	t			0	14741	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	2	5271	14741
36	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("unused") private String format(String s, Object[] arguments) { if (arguments == null) { return s; } // A very simple implementation of format int i = 0; while (i < arguments.length) { String delimiter = "{" + i + "}"; while (s.contains(delimiter)) { s = s.replace(delimiter, String.valueOf(arguments[i])); } i++; } return s; }	long method	long method	t	t	t			0	754	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.web2/src/main/java/org/eclipse/kura/web/shared/GwtKuraException.java/#L148-L165	1	36	754
1680	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public SocketServer(NetworkConfig config, SSLConfig sslConfig, MetricRegistry registry, ArrayList portList) { this.host = config.hostName; this.port = config.port; this.numProcessorThreads = config.numIoThreads; this.maxQueuedRequests = config.queuedMaxRequests; this.sendBufferSize = config.socketSendBufferBytes; this.recvBufferSize = config.socketReceiveBufferBytes; this.maxRequestSize = config.socketRequestMaxBytes; processors = new ArrayList(numProcessorThreads); requestResponseChannel = new SocketRequestResponseChannel(numProcessorThreads, maxQueuedRequests); metrics = new ServerNetworkMetrics(requestResponseChannel, registry, processors); this.acceptors = new ArrayList(); this.ports = new HashMap(); this.validatePorts(portList); this.initializeSSLFactory(sslConfig); }	long method	Long method 2 Feature envy	t	f	t			0	11666	https://github.com/linkedin/ambry/blob/1d2e455556058b83f5145740b7f2c5772fa37e1b/ambry-network/src/main/java/com.github.ambry.network/SocketServer.java/#L67-L82	2	1680	11666
3903	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private JPEGImageMetadataFormat() { super(JPEG.nativeImageMetadataFormatName, CHILD_POLICY_ALL); addElement("JPEGvariety", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_CHOICE); addElement("markerSequence", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_SEQUENCE); addElement("app0JFIF", "JPEGvariety", CHILD_POLICY_SOME); addStreamElements("markerSequence"); addElement("app14Adobe", "markerSequence", CHILD_POLICY_EMPTY); addElement("sof", "markerSequence", 1, 4); addElement("sos", "markerSequence", 1, 4); addElement("JFXX", "app0JFIF", 1, Integer.MAX_VALUE); addElement("app0JFXX", "JFXX", CHILD_POLICY_CHOICE); addElement("app2ICC", "app0JFIF", CHILD_POLICY_EMPTY); addAttribute("app0JFIF", "majorVersion", DATATYPE_INTEGER, false, "1", "0", "255", true, true); addAttribute("app0JFIF", "minorVersion", DATATYPE_INTEGER, false, "2", "0", "255", true, true); List resUnits = new ArrayList<>(); resUnits.add("0"); resUnits.add("1"); resUnits.add("2"); addAttribute("app0JFIF", "resUnits", DATATYPE_INTEGER, false, "0", resUnits); addAttribute("app0JFIF", "Xdensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "Ydensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "thumbWidth", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addAttribute("app0JFIF", "thumbHeight", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addElement("JFIFthumbJPEG", "app0JFXX", CHILD_POLICY_SOME); addElement("JFIFthumbPalette", "app0JFXX", CHILD_POLICY_EMPTY); addElement("JFIFthumbRGB", "app0JFXX", CHILD_POLICY_EMPTY); List codes = new ArrayList<>(); codes.add("16"); // Hex 10 codes.add("17"); // Hex 11 codes.add("19"); // Hex 13 addAttribute("app0JFXX", "extensionCode", DATATYPE_INTEGER, false, null, codes); addChildElement("markerSequence", "JFIFthumbJPEG"); addAttribute("JFIFthumbPalette", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbPalette", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addObjectValue("app2ICC", ICC_Profile.class, false, null); addAttribute("app14Adobe", "version", DATATYPE_INTEGER, false, "100", "100", "255", true, true); addAttribute("app14Adobe", "flags0", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); addAttribute("app14Adobe", "flags1", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); List transforms = new ArrayList<>(); transforms.add("0"); transforms.add("1"); transforms.add("2"); addAttribute("app14Adobe", "transform", DATATYPE_INTEGER, true, null, transforms); addElement("componentSpec", "sof", CHILD_POLICY_EMPTY); List procs = new ArrayList<>(); procs.add("0"); procs.add("1"); procs.add("2"); addAttribute("sof", "process", DATATYPE_INTEGER, false, null, procs); addAttribute("sof", "samplePrecision", DATATYPE_INTEGER, false, "8"); addAttribute("sof", "numLines", DATATYPE_INTEGER, false, null, "0", "65535", true, true); addAttribute("sof", "samplesPerLine", DATATYPE_INTEGER, false, null, "0", "65535", true, true); List comps = new ArrayList<>(); comps.add("1"); comps.add("2"); comps.add("3"); comps.add("4"); addAttribute("sof", "numFrameComponents", DATATYPE_INTEGER, false, null, comps); addAttribute("componentSpec", "componentId", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("componentSpec", "HsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); addAttribute("componentSpec", "VsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); List tabids = new ArrayList<>(); tabids.add("0"); tabids.add("1"); tabids.add("2"); tabids.add("3"); addAttribute("componentSpec", "QtableSelector", DATATYPE_INTEGER, true, null, tabids); addElement("scanComponentSpec", "sos", CHILD_POLICY_EMPTY); addAttribute("sos", "numScanComponents", DATATYPE_INTEGER, true, null, comps); addAttribute("sos", "startSpectralSelection", DATATYPE_INTEGER, false, "0", "0", "63", true, true); addAttribute("sos", "endSpectralSelection", DATATYPE_INTEGER, false, "63", "0", "63", true, true); addAttribute("sos", "approxHigh", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("sos", "approxLow", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("scanComponentSpec", "componentSelector", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("scanComponentSpec", "dcHuffTable", DATATYPE_INTEGER, true, null, tabids); addAttribute("scanComponentSpec", "acHuffTable", DATATYPE_INTEGER, true, null, tabids); }	long method	Long method2 Feature envy	t	f	t			0	10219	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/com/sun/imageio/plugins/jpeg/JPEGImageMetadataFormat.java/#L43-L338	2	3903	10219
2072	YES I found bad smells, the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean configureHA(final Long resourceId, final HAResource.ResourceType resourceType, final Boolean enable, final String haProvider) { return Transaction.execute(new TransactionCallback() { @Override public Boolean doInTransaction(TransactionStatus status) { HAConfigVO haConfig = (HAConfigVO) haConfigDao.findHAResource(resourceId, resourceType); if (haConfig == null) { haConfig = new HAConfigVO(); if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (enable != null) { haConfig.setEnabled(enable); haConfig.setManagementServerId(ManagementServerNode.getManagementServerId()); } haConfig.setResourceId(resourceId); haConfig.setResourceType(resourceType); if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } if (haConfigDao.persist(haConfig) != null) { return true; } } else { if (enable != null) { haConfig.setEnabled(enable); } if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } return haConfigDao.update(haConfig.getId(), haConfig); } return false; } }); }	long method	Long method2 Feature envy	t	f	t			0	13027	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/org/apache/cloudstack/ha/HAManagerImpl.java/#L337-L374	2	2072	13027
4605	{"response":"YES I found bad smells","bad smells are":["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected boolean downloadLog(HttpServletRequest request, HttpServletResponse response, ILogService logService, String appenderName) throws ServletException { FileAppender appender = logService .getFileAppender(appenderName); if (appender == null) { String msg = NLS.bind("Appender not found: {0}", appenderName); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_NOT_FOUND, msg, null); return statusHandler.handleRequest(request, response, error); } File logFile = new File(appender.getFile()); try { LogUtils.provideLogFile(logFile, response); } catch (Exception ex) { String msg = NLS.bind("An error occured when looking for log {0}.", logFile.getName()); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_INTERNAL_SERVER_ERROR, msg, ex); LogHelper.log(error); return statusHandler.handleRequest(request, response, error); } return true; }	long method	long method	t	t	t			0	12253	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.logs/src/org/eclipse/orion/server/logs/servlets/FileAppenderHandler.java/#L43-L70	1	4605	12253
1038	YES, I found bad smells. The bad smells are: 1. Long method 2. Repeated code 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public CallableStatement prepareCall(String sql) throws SQLException { checkState(); PreparedStatementHolder stmtHolder = null; PreparedStatementKey key = new PreparedStatementKey(sql, getCatalog(), MethodType.Precall_1); boolean poolPreparedStatements = holder.isPoolPreparedStatements(); if (poolPreparedStatements) { stmtHolder = holder.getStatementPool().get(key); } if (stmtHolder == null) { try { stmtHolder = new PreparedStatementHolder(key, conn.prepareCall(sql)); holder.getDataSource().incrementPreparedStatementCount(); } catch (SQLException ex) { handleException(ex, sql); } } initStatement(stmtHolder); DruidPooledCallableStatement rtnVal = new DruidPooledCallableStatement(this, stmtHolder); holder.addTrace(rtnVal); return rtnVal; }	long method	Long method2 Repeated code3 Feature envy	t	f	t			0	9410	https://github.com/alibaba/druid/blob/768469fe4d1340efe1036453366a58c9ab7e30d1/src/main/java/com/alibaba/druid/pool/DruidPooledConnection.java/#L534-L563	2	1038	9410
671	{ "output": "YES I found bad smells", "bad smells are": ["Long Method", "Blob"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	long method, blob	t	t	t	blob		0	6554	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	1	671	6554
1058	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicated code 4. Use of temporary variables 5. Exception handling inside a loop 6. Use of constant strings instead of enums 7. Use of raw types in collections 8. Use of multiple try-catch blocks with similar code 9. Poor exception handling (only logging the exception) 10. Lack of comments or documentation for complex logic and data structures.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static List> getFacilityContactMechValueMaps(Delegator delegator, String facilityId, boolean showOld, String contactMechTypeId) { List> facilityContactMechValueMaps = new LinkedList>(); List allFacilityContactMechs = null; try { List tempCol = EntityQuery.use(delegator).from("FacilityContactMech").where("facilityId", facilityId).queryList(); if (contactMechTypeId != null) { List tempColTemp = new LinkedList(); for (GenericValue partyContactMech: tempCol) { GenericValue contactMech = delegator.getRelatedOne("ContactMech", partyContactMech, false); if (contactMech != null && contactMechTypeId.equals(contactMech.getString("contactMechTypeId"))) { tempColTemp.add(partyContactMech); } } tempCol = tempColTemp; } if (!showOld) tempCol = EntityUtil.filterByDate(tempCol, true); allFacilityContactMechs = tempCol; } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (allFacilityContactMechs == null) return facilityContactMechValueMaps; for (GenericValue facilityContactMech: allFacilityContactMechs) { GenericValue contactMech = null; try { contactMech = facilityContactMech.getRelatedOne("ContactMech", false); } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (contactMech != null) { Map facilityContactMechValueMap = new HashMap(); facilityContactMechValueMaps.add(facilityContactMechValueMap); facilityContactMechValueMap.put("contactMech", contactMech); facilityContactMechValueMap.put("facilityContactMech", facilityContactMech); try { facilityContactMechValueMap.put("contactMechType", contactMech.getRelatedOne("ContactMechType", true)); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { List facilityContactMechPurposes = facilityContactMech.getRelated("FacilityContactMechPurpose", null, null, false); if (!showOld) facilityContactMechPurposes = EntityUtil.filterByDate(facilityContactMechPurposes, true); facilityContactMechValueMap.put("facilityContactMechPurposes", facilityContactMechPurposes); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { if ("POSTAL_ADDRESS".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("postalAddress", contactMech.getRelatedOne("PostalAddress", false)); } else if ("TELECOM_NUMBER".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("telecomNumber", contactMech.getRelatedOne("TelecomNumber", false)); } } catch (GenericEntityException e) { Debug.logWarning(e, module); } } } return facilityContactMechValueMaps; }	long method	Long method2 Feature envy3 Duplicated code4 Use of temporary variables5 Exception handling inside a loop6 Use of constant strings instead of enums7 Use of raw types in collections8 Use of multiple try-catch blocks with similar code9 Poor exception handling (only logging the exception)	t	f	t			0	9520	https://github.com/apache/ofbiz/blob/7ba7f3c2e16df6c8db0d8114e124957199cea1ff/applications/party/src/main/java/org/apache/ofbiz/party/contact/ContactMechWorker.java/#L129-L198	2	1058	9520
2105	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void set(Object obj, Object value) throws IllegalArgumentException, IllegalAccessException { ensureObj(obj); if (isFinal) { throwFinalFieldIllegalAccessException(value); } if (value == null) { throwSetIllegalArgumentException(value); } if (value instanceof Byte) { unsafe.putInt(obj, fieldOffset, ((Byte) value).byteValue()); return; } if (value instanceof Short) { unsafe.putInt(obj, fieldOffset, ((Short) value).shortValue()); return; } if (value instanceof Character) { unsafe.putInt(obj, fieldOffset, ((Character) value).charValue()); return; } if (value instanceof Integer) { unsafe.putInt(obj, fieldOffset, ((Integer) value).intValue()); return; } throwSetIllegalArgumentException(value); }	long method	long method	t	t	t			0	13169	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.base/share/classes/jdk/internal/reflect/UnsafeIntegerFieldAccessorImpl.java/#L72-L99	1	2105	13169
1045	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final void mRULE_STRING() throws RecognitionException { try { int _type = RULE_STRING; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalXImportSectionTestLang.g:6435:13: ( ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) ) // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) { // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) int alt15=2; int LA15_0 = input.LA(1); if ( (LA15_0=='\"') ) { alt15=1; } else if ( (LA15_0=='\'') ) { alt15=2; } else { NoViableAltException nvae = new NoViableAltException("", 15, 0, input); throw nvae; } switch (alt15) { case 1 : // InternalXImportSectionTestLang.g:6435:16: '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? { match('\"'); // InternalXImportSectionTestLang.g:6435:20: ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* loop11: do { int alt11=3; int LA11_0 = input.LA(1); if ( (LA11_0=='\\') ) { alt11=1; } else if ( ((LA11_0>='\u0000' && LA11_0<='!')||(LA11_0>='#' && LA11_0<='[')||(LA11_0>=']' && LA11_0<='\uFFFF')) ) { alt11=2; } switch (alt11) { case 1 : // InternalXImportSectionTestLang.g:6435:21: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:28: ~ ( ( '\\\\' | '\"' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='!')||(input.LA(1)>='#' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop11; } } while (true); // InternalXImportSectionTestLang.g:6435:44: ( '\"' )? int alt12=2; int LA12_0 = input.LA(1); if ( (LA12_0=='\"') ) { alt12=1; } switch (alt12) { case 1 : // InternalXImportSectionTestLang.g:6435:44: '\"' { match('\"'); } break; } } break; case 2 : // InternalXImportSectionTestLang.g:6435:49: '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? { match('\''); // InternalXImportSectionTestLang.g:6435:54: ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* loop13: do { int alt13=3; int LA13_0 = input.LA(1); if ( (LA13_0=='\\') ) { alt13=1; } else if ( ((LA13_0>='\u0000' && LA13_0<='&')||(LA13_0>='(' && LA13_0<='[')||(LA13_0>=']' && LA13_0<='\uFFFF')) ) { alt13=2; } switch (alt13) { case 1 : // InternalXImportSectionTestLang.g:6435:55: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:62: ~ ( ( '\\\\' | '\\'' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='&')||(input.LA(1)>='(' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop13; } } while (true); // InternalXImportSectionTestLang.g:6435:79: ( '\\'' )? int alt14=2; int LA14_0 = input.LA(1); if ( (LA14_0=='\'') ) { alt14=1; } switch (alt14) { case 1 : // InternalXImportSectionTestLang.g:6435:79: '\\'' { match('\''); } break; } } break; } } state.type = _type; state.channel = _channel; } finally { } }	long method	long method	t	t	t			0	9454	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase.testlanguages/src-gen/org/eclipse/xtext/xbase/testlanguages/parser/antlr/internal/InternalXImportSectionTestLangLexer.java/#L2127-L2300	1	1045	9454
689	{"message": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static void main(String[] args) throws IOException { try (XSSFWorkbook wb = new XSSFWorkbook()) { XSSFSheet sheet = wb.createSheet("linechart"); final int NUM_OF_ROWS = 3; final int NUM_OF_COLUMNS = 10; // Create a row and put some cells in it. Rows are 0 based. Row row; Cell cell; for (int rowIndex = 0; rowIndex < NUM_OF_ROWS; rowIndex++) { row = sheet.createRow((short) rowIndex); for (int colIndex = 0; colIndex < NUM_OF_COLUMNS; colIndex++) { cell = row.createCell((short) colIndex); cell.setCellValue(colIndex * (rowIndex + 1.0)); } } XSSFDrawing drawing = sheet.createDrawingPatriarch(); XSSFClientAnchor anchor = drawing.createAnchor(0, 0, 0, 0, 0, 5, 10, 15); XSSFChart chart = drawing.createChart(anchor); XDDFChartLegend legend = chart.getOrAddLegend(); legend.setPosition(LegendPosition.TOP_RIGHT); // Use a category axis for the bottom axis. XDDFCategoryAxis bottomAxis = chart.createCategoryAxis(AxisPosition.BOTTOM); bottomAxis.setTitle("x"); // https://stackoverflow.com/questions/32010765 XDDFValueAxis leftAxis = chart.createValueAxis(AxisPosition.LEFT); leftAxis.setTitle("f(x)"); leftAxis.setCrosses(AxisCrosses.AUTO_ZERO); XDDFDataSource xs = XDDFDataSourcesFactory.fromNumericCellRange(sheet, new CellRangeAddress(0, 0, 0, NUM_OF_COLUMNS - 1)); XDDFNumericalDataSource ys1 = XDDFDataSourcesFactory.fromNumericCellRange(sheet, new CellRangeAddress(1, 1, 0, NUM_OF_COLUMNS - 1)); XDDFNumericalDataSource ys2 = XDDFDataSourcesFactory.fromNumericCellRange(sheet, new CellRangeAddress(2, 2, 0, NUM_OF_COLUMNS - 1)); XDDFLineChartData data = (XDDFLineChartData) chart.createData(ChartTypes.LINE, bottomAxis, leftAxis); XDDFLineChartData.Series series1 = (XDDFLineChartData.Series) data.addSeries(xs, ys1); series1.setTitle("2x", null); // https://stackoverflow.com/questions/21855842 series1.setSmooth(false); // https://stackoverflow.com/questions/29014848 series1.setMarkerStyle(MarkerStyle.STAR); // https://stackoverflow.com/questions/39636138 XDDFLineChartData.Series series2 = (XDDFLineChartData.Series) data.addSeries(xs, ys2); series2.setTitle("3x", null); series2.setSmooth(true); series2.setMarkerSize((short) 6); series2.setMarkerStyle(MarkerStyle.TRIANGLE); // https://stackoverflow.com/questions/39636138 chart.plot(data); // if your series have missing values like https://stackoverflow.com/questions/29014848 // chart.displayBlanksAs(DisplayBlanks.GAP); // https://stackoverflow.com/questions/24676460 solidLineSeries(data, 0, PresetColor.CHARTREUSE); solidLineSeries(data, 1, PresetColor.TURQUOISE); // Write the output to a file try (FileOutputStream fileOut = new FileOutputStream("ooxml-line-chart.xlsx")) { wb.write(fileOut); } } }	long method	1. long method	t	t	t			0	6635	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/examples/src/org/apache/poi/xssf/usermodel/examples/LineChart.java/#L54-L113	1	689	6635
2105	YES I found bad smells the bad smells are: 1. Feature envy 2. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void set(Object obj, Object value) throws IllegalArgumentException, IllegalAccessException { ensureObj(obj); if (isFinal) { throwFinalFieldIllegalAccessException(value); } if (value == null) { throwSetIllegalArgumentException(value); } if (value instanceof Byte) { unsafe.putInt(obj, fieldOffset, ((Byte) value).byteValue()); return; } if (value instanceof Short) { unsafe.putInt(obj, fieldOffset, ((Short) value).shortValue()); return; } if (value instanceof Character) { unsafe.putInt(obj, fieldOffset, ((Character) value).charValue()); return; } if (value instanceof Integer) { unsafe.putInt(obj, fieldOffset, ((Integer) value).intValue()); return; } throwSetIllegalArgumentException(value); }	long method	Feature envy2 Long method	t	f	t			0	13169	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.base/share/classes/jdk/internal/reflect/UnsafeIntegerFieldAccessorImpl.java/#L72-L99	2	2105	13169
61	{ "answer": "YES I found bad smells. The bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String readNullTerminatedString(int length) { if (length == 0) { return ""; } int stringLength = length; int lastIndex = position + length - 1; if (lastIndex < limit && data[lastIndex] == 0) { stringLength--; } String result = Util.fromUtf8Bytes(data, position, stringLength); position += length; return result; }	long method	1. long method	t	t	t			0	1020	https://github.com/google/ExoPlayer/blob/4bc79c9465abd00e29ff576c5f7a7517be632f5a/library/core/src/main/java/com/google/android/exoplayer2/util/ParsableByteArray.java/#L473-L485	1	61	1020
2532	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean executeSyncCmsId(NuageVspDeviceVO nuageVspDevice, SyncType syncType) { NuageVspDeviceVO matchingNuageVspDevice = findMatchingNuageVspDevice(nuageVspDevice); if (syncType == SyncType.REGISTER && matchingNuageVspDevice != null) { String cmsId = findNuageVspCmsIdForDeviceOrHost(matchingNuageVspDevice.getId(), matchingNuageVspDevice.getHostId()); registerNewNuageVspDevice(nuageVspDevice.getHostId(), cmsId); return true; } String cmsId = findNuageVspCmsIdForDeviceOrHost(nuageVspDevice.getId(), nuageVspDevice.getHostId()); SyncNuageVspCmsIdCommand syncCmd = new SyncNuageVspCmsIdCommand(syncType, cmsId); SyncNuageVspCmsIdAnswer answer = (SyncNuageVspCmsIdAnswer) _agentMgr.easySend(nuageVspDevice.getHostId(), syncCmd); if (answer != null) { if (answer.getSuccess()) { if (syncType == SyncType.REGISTER || answer.getSyncType() == SyncType.REGISTER) { registerNewNuageVspDevice(nuageVspDevice.getHostId(), answer.getNuageVspCmsId()); } else if (syncType == SyncType.UNREGISTER) { removeLegacyNuageVspDeviceCmsId(nuageVspDevice.getId()); } } else if (syncType == SyncType.AUDIT || syncType == SyncType.AUDIT_ONLY) { s_logger.fatal("Nuage VSP Device with ID " + nuageVspDevice.getId() + " is configured with an unknown CMS ID!"); } } return answer != null && answer.getSuccess(); }	long method	long method, feature envy	t	t	t	feature envy		0	14744	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/nuage-vsp/src/main/java/com/cloud/network/manager/NuageVspManagerImpl.java/#L686-L711	1	2532	14744
1552	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void startElement(String uri, String localName, String qName, Attributes attributes) throws SAXException { if (delegate != null) { delegateStack.push(qName); delegate.startElement(uri, localName, qName, attributes); } else if (domImplementation != null) { //domImplementation is set so we need to start a new DOM building sub-process TransformerHandler handler; try { handler = tFactory.newTransformerHandler(); } catch (TransformerConfigurationException e) { throw new SAXException("Error creating a new TransformerHandler", e); } Document doc = domImplementation.createDocument(uri, qName, null); //It's easier to work with an empty document, so remove the root element doc.removeChild(doc.getDocumentElement()); handler.setResult(new DOMResult(doc)); Area parent = (Area)areaStack.peek(); ((ForeignObject)parent).setDocument(doc); //activate delegate for nested foreign document domImplementation = null; //Not needed anymore now this.delegate = handler; delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { boolean handled = true; if ("".equals(uri)) { if (localName.equals("structureTree")) { /* The area tree parser no longer supports the structure tree. */ delegate = new DefaultHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = startAreaTreeElement(localName, attributes); } } else { ContentHandlerFactoryRegistry registry = userAgent.getContentHandlerFactoryRegistry(); ContentHandlerFactory factory = registry.getFactory(uri); if (factory != null) { delegate = factory.createContentHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = false; } } if (!handled) { if (uri == null || uri.length() == 0) { throw new SAXException("Unhandled element " + localName + " in namespace: " + uri); } else { log.warn("Unhandled element " + localName + " in namespace: " + uri); } } } }	long method	Long Method	t	f	t			0	11269	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/area/AreaTreeParser.java/#L260-L323	1	1552	11269
2307	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public double correlation(final double[] xArray, final double[] yArray) throws DimensionMismatchException { if (xArray.length != yArray.length) { throw new DimensionMismatchException(xArray.length, yArray.length); } final int n = xArray.length; final long numPairs = sum(n - 1); @SuppressWarnings("unchecked") Pair[] pairs = new Pair[n]; for (int i = 0; i < n; i++) { pairs[i] = new Pair<>(xArray[i], yArray[i]); } Arrays.sort(pairs, new Comparator>() { /** {@inheritDoc} */ @Override public int compare(Pair pair1, Pair pair2) { int compareFirst = pair1.getFirst().compareTo(pair2.getFirst()); return compareFirst != 0 ? compareFirst : pair1.getSecond().compareTo(pair2.getSecond()); } }); long tiedXPairs = 0; long tiedXYPairs = 0; long consecutiveXTies = 1; long consecutiveXYTies = 1; Pair prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getFirst().equals(prev.getFirst())) { consecutiveXTies++; if (curr.getSecond().equals(prev.getSecond())) { consecutiveXYTies++; } else { tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } } else { tiedXPairs += sum(consecutiveXTies - 1); consecutiveXTies = 1; tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } prev = curr; } tiedXPairs += sum(consecutiveXTies - 1); tiedXYPairs += sum(consecutiveXYTies - 1); long swaps = 0; @SuppressWarnings("unchecked") Pair[] pairsDestination = new Pair[n]; for (int segmentSize = 1; segmentSize < n; segmentSize <<= 1) { for (int offset = 0; offset < n; offset += 2 * segmentSize) { int i = offset; final int iEnd = FastMath.min(i + segmentSize, n); int j = iEnd; final int jEnd = FastMath.min(j + segmentSize, n); int copyLocation = offset; while (i < iEnd || j < jEnd) { if (i < iEnd) { if (j < jEnd) { if (pairs[i].getSecond().compareTo(pairs[j].getSecond()) <= 0) { pairsDestination[copyLocation] = pairs[i]; i++; } else { pairsDestination[copyLocation] = pairs[j]; j++; swaps += iEnd - i; } } else { pairsDestination[copyLocation] = pairs[i]; i++; } } else { pairsDestination[copyLocation] = pairs[j]; j++; } copyLocation++; } } final Pair[] pairsTemp = pairs; pairs = pairsDestination; pairsDestination = pairsTemp; } long tiedYPairs = 0; long consecutiveYTies = 1; prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getSecond().equals(prev.getSecond())) { consecutiveYTies++; } else { tiedYPairs += sum(consecutiveYTies - 1); consecutiveYTies = 1; } prev = curr; } tiedYPairs += sum(consecutiveYTies - 1); final long concordantMinusDiscordant = numPairs - tiedXPairs - tiedYPairs + tiedXYPairs - 2 * swaps; final double nonTiedPairsMultiplied = (numPairs - tiedXPairs) * (double) (numPairs - tiedYPairs); return concordantMinusDiscordant / FastMath.sqrt(nonTiedPairsMultiplied); }	long method	long method, feature envy	t	t	t	feature envy		0	14085	https://github.com/apache/commons-math/blob/f3719d89ab6a928e8618bbe6a7da8214d9d6eb07/src/main/java/org/apache/commons/math4/stat/correlation/KendallsCorrelation.java/#L154-L261	1	2307	14085
631	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: TreeNodeChildren(final TreeNode parent, final Object metadata, final PropertyAccessor accessor) { this.parent = parent; this.metadata = metadata; this.accessor = accessor; this.children = new TreeNode[accessor.count()]; /* * Search for something that looks like the main property, to be associated with the parent node * instead than provided as a child. The intent is to have more compact and easy to read trees. * That property shall be a singleton for a simple value (not another metadata object). */ if (parent.table.valuePolicy == ValueExistencePolicy.COMPACT) { TitleProperty an = accessor.implementation.getAnnotation(TitleProperty.class); if (an == null) { Class implementation = parent.table.standard.getImplementation(accessor.type); if (implementation != null) { an = implementation.getAnnotation(TitleProperty.class); } } if (an != null) { final int index = accessor.indexOf(an.name(), false); final Class type = accessor.type(index, TypeValuePolicy.ELEMENT_TYPE); if (type != null && !parent.isMetadata(type) && type == accessor.type(index, TypeValuePolicy.PROPERTY_TYPE)) { titleProperty = index; return; } } } titleProperty = -1; }	long method	Long method 2 Feature envy	t	f	t			0	6291	https://github.com/apache/sis/blob/002121abc9b9826fbd51fac7150b3ee0c02cc88b/core/sis-metadata/src/main/java/org/apache/sis/metadata/TreeNodeChildren.java/#L137-L165	2	631	6291
5639	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	Long method2 Feature envy	t	f	t			0	10918	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	1	5639	10918
1810	YES, I found bad smells, the bad smells are: 1. Long method 2. Repetitive code for removing double underscores 3. Excessive use of nested loops 4. Feature envy (the method is performing operations that should be done by another object) 5. Magic numbers without explanatory comments 6. Poor naming conventions (i, usIndex)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String shortenDbName(String dbName, int desiredLength) { StringBuilder dbBuf = new StringBuilder(dbName); if (dbBuf.length() > desiredLength) { // remove one vowel at a time, starting at beginning for (int i = dbBuf.length() - 1; i > 0; i--) { // don't remove vowels that are at the beginning of the string (taken care of by the i > 0) or right after an underscore if (dbBuf.charAt(i - 1) == '_') { continue; } char curChar = dbBuf.charAt(i); if (vowelBag.indexOf(curChar) > 0) { dbBuf.deleteCharAt(i); } } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { boolean removedChars = false; int usIndex = dbBuf.lastIndexOf("_"); while (usIndex > 0 && dbBuf.length() > desiredLength) { // if this is the first word in the group, don't pull letters off unless it is 4 letters or more int prevUsIndex = dbBuf.lastIndexOf("_", usIndex - 1); if (prevUsIndex < 0 && usIndex < 4) { break; } // don't remove characters to reduce the size two less than three characters between underscores if (prevUsIndex >= 0 && (usIndex - prevUsIndex) <= 4) { usIndex = prevUsIndex; continue; } // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(usIndex - 2); removedChars = true; if (usIndex > 2) { usIndex = dbBuf.lastIndexOf("_", usIndex - 2); } else { break; } } // now delete the char at the end of the string if necessary if (dbBuf.length() > desiredLength) { int removeIndex = dbBuf.length() - 1; int prevRemoveIndex = dbBuf.lastIndexOf("_", removeIndex - 1); // don't remove characters to reduce the size two less than two characters between underscores if (prevRemoveIndex < 0 || (removeIndex - prevRemoveIndex) >= 3) { // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(removeIndex - 1); removedChars = true; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); removedChars = true; } // if we didn't remove anything break out to avoid an infinite loop if (!removedChars) { break; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { // still not short enough, get more aggressive // don't remove the first segment, just remove the second over and over until we are short enough int firstUs = dbBuf.indexOf("_"); if (firstUs > 0) { int nextUs = dbBuf.indexOf("_", firstUs + 1); if (nextUs > 0) { //Debug.logInfo("couldn't shorten enough normally, removing second segment from " + dbBuf, module); dbBuf.delete(firstUs, nextUs); } } } //Debug.logInfo("Shortened " + dbName + " to " + dbBuf.toString(), module); return dbBuf.toString(); }	long method	Long method2 Repetitive code for removing double underscores3 Excessive use of nested loops4 Feature envy (the method is performing operations that should be done by another object)5 Magic numbers without explanatory comments6 Poor naming conventions (i, usIndex)	t	f	t	usIndex)		0	12056	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/entity/src/main/java/org/apache/ofbiz/entity/model/ModelUtil.java/#L155-L248	2	1810	12056
468	YES, I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	Long method	t	f	t			0	4551	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	2	468	4551
346	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static byte[] getIP() { try { Enumeration allNetInterfaces = NetworkInterface.getNetworkInterfaces(); InetAddress ip = null; byte[] internalIP = null; while (allNetInterfaces.hasMoreElements()) { NetworkInterface netInterface = (NetworkInterface) allNetInterfaces.nextElement(); Enumeration addresses = netInterface.getInetAddresses(); while (addresses.hasMoreElements()) { ip = (InetAddress) addresses.nextElement(); if (ip != null && ip instanceof Inet4Address) { byte[] ipByte = ip.getAddress(); if (ipByte.length == 4) { if (ipCheck(ipByte)) { if (!isInternalIP(ipByte)) { return ipByte; } else if (internalIP == null) { internalIP = ipByte; } } } } } } if (internalIP != null) { return internalIP; } else { throw new RuntimeException("Can not get local ip"); } } catch (Exception e) { throw new RuntimeException("Can not get local ip", e); } }	long method	long method, feature envy	t	t	t	feature envy		0	3525	https://github.com/apache/rocketmq/blob/971fa8ed8b209b39bdfe41c57cd64576d244e6bd/common/src/main/java/org/apache/rocketmq/common/UtilAll.java/#L484-L516	1	346	3525
1394	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String getColumnText(Object element, int columnIndex) { if (element instanceof HadoopServer) { HadoopServer server = (HadoopServer) element; switch (columnIndex) { case 0: return server.getLocationName(); case 1: return server.getMasterHostName().toString(); case 2: return server.getState(); case 3: return ""; } } else if (element instanceof HadoopJob) { HadoopJob job = (HadoopJob) element; switch (columnIndex) { case 0: return job.getJobID().toString(); case 1: return ""; case 2: return job.getState().toString(); case 3: return job.getStatus(); } } else if (element instanceof JarModule) { JarModule jar = (JarModule) element; switch (columnIndex) { case 0: return jar.toString(); case 1: return "Publishing jar to server.."; case 2: return ""; } } return null; }	long method	long method	t	t	t			0	10850	https://github.com/apache/hadoop-mapreduce/blob/307cb5b316e10defdbbc228d8cdcdb627191ea15/src/contrib/eclipse-plugin/src/java/org/apache/hadoop/eclipse/view/servers/ServerView.java/#L369-L410	1	1394	10850
904	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static DimFilter negate(final DimFilter filter) { if (Filtration.matchEverything().equals(filter)) { return Filtration.matchNothing(); } else if (Filtration.matchNothing().equals(filter)) { return Filtration.matchEverything(); } else if (filter instanceof NotDimFilter) { return ((NotDimFilter) filter).getField(); } else if (filter instanceof BoundDimFilter) { final BoundDimFilter negated = Bounds.not((BoundDimFilter) filter); return negated != null ? negated : new NotDimFilter(filter); } else { return new NotDimFilter(filter); } }	long method	Long method2 Feature envy3 Duplicate code	t	f	t			0	8176	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/sql/src/main/java/org/apache/druid/sql/calcite/filtration/CombineAndSimplifyBounds.java/#L221-L235	2	904	8176
2078	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String toString() { StringBuilder sb = new StringBuilder(); sb.append(Constants.INDENT); sb.append("kdf: 0x"); sb.append(Functions.toFullHexString(kdf)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedDataLen: "); sb.append(pSharedData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedData: "); sb.append(Functions.toHexString(pSharedData)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicDataLen: "); sb.append(pPublicData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicData: "); sb.append(Functions.toHexString(pPublicData)); //buffer.append(Constants.NEWLINE); return sb.toString(); }	long method	long method	t	t	t			0	13053	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/wrapper/CK_ECDH1_DERIVE_PARAMS.java/#L107-L136	1	2078	13053
1677	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected JvmField createField(Field field) { JvmField result; int modifiers = field.getModifiers(); if (!field.isEnumConstant()) { result = TypesFactory.eINSTANCE.createJvmField(); } else result = TypesFactory.eINSTANCE.createJvmEnumerationLiteral(); String fieldName = field.getName(); result.internalSetIdentifier(field.getDeclaringClass().getName() + "." + fieldName); result.setSimpleName(fieldName); result.setFinal(Modifier.isFinal(modifiers)); result.setStatic(Modifier.isStatic(modifiers)); result.setTransient(Modifier.isTransient(modifiers)); result.setVolatile(Modifier.isVolatile(modifiers)); setVisibility(result, modifiers); Type fieldType = null; try { fieldType = field.getGenericType(); } catch (GenericSignatureFormatError error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } catch (MalformedParameterizedTypeException error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } result.setType(createTypeReference(fieldType)); createAnnotationValues(field, result); return result; }	long method	Long method 2 Feature envy	t	f	t			0	11648	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.common.types/src/org/eclipse/xtext/common/types/access/reflect/ReflectionTypeFactory.java/#L618-L646	2	1677	11648
216	{"response": "YES I found bad smells", "the bad smells are": ["1. Long method", "2. Feature envy"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings( "raw" ) private static void simpleGenericNameOf( StringBuilder sb, Type type ) { if( type instanceof Class ) { sb.append( ( (Class) type ).getSimpleName() ); } else if( type instanceof ParameterizedType ) { ParameterizedType pt = (ParameterizedType) type; simpleGenericNameOf( sb, pt.getRawType() ); sb.append( "<" ); boolean atLeastOne = false; for( Type typeArgument : pt.getActualTypeArguments() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } sb.append( ">" ); } else if( type instanceof GenericArrayType ) { GenericArrayType gat = (GenericArrayType) type; simpleGenericNameOf( sb, gat.getGenericComponentType() ); sb.append( "[]" ); } else if( type instanceof TypeVariable ) { TypeVariable tv = (TypeVariable) type; sb.append( tv.getName() ); } else if( type instanceof WildcardType ) { WildcardType wt = (WildcardType) type; sb.append( "? extends " ); boolean atLeastOne = false; for( Type typeArgument : wt.getUpperBounds() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } } else { throw new IllegalArgumentException( "Don't know how to deal with type:" + type ); } }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2343	https://github.com/apache/attic-polygene-java/blob/031beef870302a0bd01bd5895ce849e00f2d5d5b/core/api/src/main/java/org/apache/polygene/api/util/Classes.java/#L288-L342	2	216	2343
1204	{"response": "YES I found bad smells", "bad smells are": ["Long method", "Feature envy"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void resizeInstructions() { byte[] b = code.data; // bytecode of the method int u, v, label; // indexes in b int i, j; // loop indexes /* * 1st step: As explained above, resizing an instruction may require to * resize another one, which may require to resize yet another one, and * so on. The first step of the algorithm consists in finding all the * instructions that need to be resized, without modifying the code. * This is done by the following "fix point" algorithm: * * Parse the code to find the jump instructions whose offset will need * more than 2 bytes to be stored (the future offset is computed from * the current offset and from the number of bytes that will be inserted * or removed between the source and target instructions). For each such * instruction, adds an entry in (a copy of) the indexes and sizes * arrays (if this has not already been done in a previous iteration!). * * If at least one entry has been added during the previous step, go * back to the beginning, otherwise stop. * * In fact the real algorithm is complicated by the fact that the size * of TABLESWITCH and LOOKUPSWITCH instructions depends on their * position in the bytecode (because of padding). In order to ensure the * convergence of the algorithm, the number of bytes to be added or * removed from these instructions is over estimated during the previous * loop, and computed exactly only after the loop is finished (this * requires another pass to parse the bytecode of the method). */ int[] allIndexes = new int[0]; // copy of indexes int[] allSizes = new int[0]; // copy of sizes boolean[] resize; // instructions to be resized int newOffset; // future offset of a jump instruction resize = new boolean[code.length]; // 3 = loop again, 2 = loop ended, 1 = last pass, 0 = done int state = 3; do { if (state == 3) { state = 2; } u = 0; while (u < b.length) { int opcode = b[u] & 0xFF; // opcode of current instruction int insert = 0; // bytes to be added after this instruction switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // converts temporary opcodes 202 to 217, 218 and // 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (newOffset < Short.MIN_VALUE || newOffset > Short.MAX_VALUE) { if (!resize[u]) { if (opcode == Opcodes.GOTO || opcode == Opcodes.JSR) { // two additional bytes will be required to // replace this GOTO or JSR instruction with // a GOTO_W or a JSR_W insert = 2; } else { // five additional bytes will be required to // replace this IFxxx instruction with // IFNOTxxx GOTO_W , where IFNOTxxx // is the "opposite" opcode of IFxxx (i.e., // IFNE for IFEQ) and where designates // the instruction just after the GOTO_W. insert = 5; } resize[u] = true; } } u += 3; break; case ClassWriter.LABELW_INSN: u += 5; break; case ClassWriter.TABL_INSN: if (state == 1) { // true number of bytes to be added (or removed) // from this instruction = (future number of padding // bytes - current number of padding byte) - // previously over estimated variation = // = ((3 - newOffset%4) - (3 - u%4)) - u%4 // = (-newOffset%4 + u%4) - u%4 // = -(newOffset & 3) newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // over estimation of the number of bytes to be // added to this instruction = 3 - current number // of padding bytes = 3 - (3 - u%4) = u%4 = u & 3 insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 4 * (readInt(b, u + 8) - readInt(b, u + 4) + 1) + 12; break; case ClassWriter.LOOK_INSN: if (state == 1) { // like TABL_INSN newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // like TABL_INSN insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 8 * readInt(b, u + 4) + 8; break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { u += 6; } else { u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: u += 5; break; // case ClassWriter.MANA_INSN: default: u += 4; break; } if (insert != 0) { // adds a new (u, insert) entry in the allIndexes and // allSizes arrays int[] newIndexes = new int[allIndexes.length + 1]; int[] newSizes = new int[allSizes.length + 1]; System.arraycopy(allIndexes, 0, newIndexes, 0, allIndexes.length); System.arraycopy(allSizes, 0, newSizes, 0, allSizes.length); newIndexes[allIndexes.length] = u; newSizes[allSizes.length] = insert; allIndexes = newIndexes; allSizes = newSizes; if (insert > 0) { state = 3; } } } if (state < 3) { --state; } } while (state != 0); // 2nd step: // copies the bytecode of the method into a new bytevector, updates the // offsets, and inserts (or removes) bytes as requested. ByteVector newCode = new ByteVector(code.length); u = 0; while (u < code.length) { int opcode = b[u] & 0xFF; switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: newCode.putByte(opcode); u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // changes temporary opcodes 202 to 217 (inclusive), 218 // and 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (resize[u]) { // replaces GOTO with GOTO_W, JSR with JSR_W and IFxxx // with IFNOTxxx GOTO_W , where IFNOTxxx is // the "opposite" opcode of IFxxx (i.e., IFNE for IFEQ) // and where designates the instruction just after // the GOTO_W. if (opcode == Opcodes.GOTO) { newCode.putByte(200); // GOTO_W } else if (opcode == Opcodes.JSR) { newCode.putByte(201); // JSR_W } else { newCode.putByte(opcode <= 166 ? ((opcode + 1) ^ 1) - 1 : opcode ^ 1); newCode.putShort(8); // jump offset newCode.putByte(200); // GOTO_W // newOffset now computed from start of GOTO_W newOffset -= 3; } newCode.putInt(newOffset); } else { newCode.putByte(opcode); newCode.putShort(newOffset); } u += 3; break; case ClassWriter.LABELW_INSN: label = u + readInt(b, u + 1); newOffset = getNewOffset(allIndexes, allSizes, u, label); newCode.putByte(opcode); newCode.putInt(newOffset); u += 5; break; case ClassWriter.TABL_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.TABLESWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); j = readInt(b, u) - j + 1; u += 4; newCode.putInt(readInt(b, u - 4)); for (; j > 0; --j) { label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.LOOK_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.LOOKUPSWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); for (; j > 0; --j) { newCode.putInt(readInt(b, u)); u += 4; label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { newCode.putByteArray(b, u, 6); u += 6; } else { newCode.putByteArray(b, u, 4); u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: newCode.putByteArray(b, u, 2); u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: newCode.putByteArray(b, u, 3); u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: newCode.putByteArray(b, u, 5); u += 5; break; // case MANA_INSN: default: newCode.putByteArray(b, u, 4); u += 4; break; } } // recomputes the stack map frames if (frameCount > 0) { if (compute == FRAMES) { frameCount = 0; stackMap = null; previousFrame = null; frame = null; Frame f = new Frame(); f.owner = labels; Type[] args = Type.getArgumentTypes(descriptor); f.initInputFrame(cw, access, args, maxLocals); visitFrame(f); Label l = labels; while (l != null) { /* * here we need the original label position. getNewOffset * must therefore never have been called for this label. */ u = l.position - 3; if ((l.status & Label.STORE) != 0 || (u >= 0 && resize[u])) { getNewOffset(allIndexes, allSizes, l); // TODO update offsets in UNINITIALIZED values visitFrame(l.frame); } l = l.successor; } } else { /* * Resizing an existing stack map frame table is really hard. * Not only the table must be parsed to update the offets, but * new frames may be needed for jump instructions that were * inserted by this method. And updating the offsets or * inserting frames can change the format of the following * frames, in case of packed frames. In practice the whole table * must be recomputed. For this the frames are marked as * potentially invalid. This will cause the whole class to be * reread and rewritten with the COMPUTE_FRAMES option (see the * ClassWriter.toByteArray method). This is not very efficient * but is much easier and requires much less code than any other * method I can think of. */ cw.invalidFrames = true; } } // updates the exception handler block labels Handler h = firstHandler; while (h != null) { getNewOffset(allIndexes, allSizes, h.start); getNewOffset(allIndexes, allSizes, h.end); getNewOffset(allIndexes, allSizes, h.handler); h = h.next; } // updates the instructions addresses in the // local var and line number tables for (i = 0; i < 2; ++i) { ByteVector bv = i == 0 ? localVar : localVarType; if (bv != null) { b = bv.data; u = 0; while (u < bv.length) { label = readUnsignedShort(b, u); newOffset = getNewOffset(allIndexes, allSizes, 0, label); writeShort(b, u, newOffset); label += readUnsignedShort(b, u + 2); newOffset = getNewOffset(allIndexes, allSizes, 0, label) - newOffset; writeShort(b, u + 2, newOffset); u += 10; } } } if (lineNumber != null) { b = lineNumber.data; u = 0; while (u < lineNumber.length) { writeShort( b, u, getNewOffset(allIndexes, allSizes, 0, readUnsignedShort(b, u))); u += 4; } } // updates the labels of the other attributes Attribute attr = cattrs; while (attr != null) { Label[] labels = attr.getLabels(); if (labels != null) { for (i = labels.length - 1; i >= 0; --i) { getNewOffset(allIndexes, allSizes, labels[i]); } } attr = attr.next; } // replaces old bytecodes with new ones code = newCode; }	long method	long method, feature envy	t	t	t	feature envy		0	10287	https://github.com/apache/tajo/blob/fb326195083959014c82c10187cb46de91ece33f/tajo-thirdparty/asm/src/main/java/org/apache/tajo/org/objectweb/asm/MethodWriter.java/#L2145-L2559	2	1204	10287
1030	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ApplicationDTO buildApplicationDTO( ApplicationRuntimeInformation ari) { ApplicationDTO applicationDTO = new ApplicationDTO(){}; applicationDTO.name = getServiceName( ari._cachingServiceReference::getProperty); applicationDTO.base = _whiteboard.getApplicationBase( ari._cachingServiceReference::getProperty); applicationDTO.serviceId = (Long)ari._cachingServiceReference.getProperty("service.id"); applicationDTO.resourceDTOs = getApplicationEndpointsStream( applicationDTO.name).toArray( ResourceDTO[]::new ); applicationDTO.extensionDTOs = getApplicationExtensionsStream( applicationDTO.name).toArray( ExtensionDTO[]::new ); Map> nameBoundExtensions = new HashMap<>(); Map> extensionResources = new HashMap<>(); for (ExtensionDTO extensionDTO : applicationDTO.extensionDTOs) { if (extensionDTO.nameBindings == null) { continue; } for (String nameBinding : extensionDTO.nameBindings) { Set extensionDTOS = nameBoundExtensions.computeIfAbsent( nameBinding, __ -> new HashSet<>() ); extensionDTOS.add(extensionDTO); } } for (ResourceDTO resourceDTO : applicationDTO.resourceDTOs) { for (ResourceMethodInfoDTO resourceMethodInfo : resourceDTO.resourceMethods) { if (resourceMethodInfo.nameBindings == null) { continue; } for (String nameBinding : resourceMethodInfo.nameBindings) { Set extensionDTOS = nameBoundExtensions.get( nameBinding); if (extensionDTOS != null) { for (ExtensionDTO extensionDTO : extensionDTOS) { Set resourceDTOS = extensionResources.computeIfAbsent( extensionDTO, __ -> new HashSet<>()); resourceDTOS.add(resourceDTO); } } } } } extensionResources.forEach( (extensionDTO, resourceDTOS) -> extensionDTO.filteredByName = resourceDTOS.toArray( new ResourceDTO[0]) ); CxfJaxrsServiceRegistrator cxfJaxRsServiceRegistrator = ari._cxfJaxRsServiceRegistrator; Bus bus = cxfJaxRsServiceRegistrator.getBus(); Iterable> resourceClasses = cxfJaxRsServiceRegistrator.getStaticResourceClasses(); ArrayList resourceMethodInfoDTOS = new ArrayList<>(); for (Class resourceClass : resourceClasses) { resourceMethodInfoDTOS.addAll( ClassIntrospector.getResourceMethodInfos(resourceClass, bus)); } applicationDTO.resourceMethods = resourceMethodInfoDTOS.toArray( new ResourceMethodInfoDTO[0]); return applicationDTO; }	long method	long method	t	t	t			0	9383	https://github.com/apache/aries-jax-rs-whiteboard/blob/73ef94bb74159e97bbe834c3e17a7eb3c34b7bf6/jax-rs.whiteboard/src/main/java/org/apache/aries/jax/rs/whiteboard/internal/AriesJaxrsServiceRuntime.java/#L943-L1037	1	1030	9383
1298	{ "response": "YES, I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private XMLEvent expectTag(String expected, boolean allowEnd) throws IOException { XMLEvent ev = null; while (true) { try { ev = events.nextEvent(); } catch (XMLStreamException e) { throw new IOException("Expecting " + expected + ", but got XMLStreamException", e); } switch (ev.getEventType()) { case XMLEvent.ATTRIBUTE: throw new IOException("Got unexpected attribute: " + ev); case XMLEvent.CHARACTERS: if (!ev.asCharacters().isWhiteSpace()) { throw new IOException("Got unxpected characters while " + "looking for " + expected + ": " + ev.asCharacters().getData()); } break; case XMLEvent.END_ELEMENT: if (!allowEnd) { throw new IOException("Got unexpected end event " + "while looking for " + expected); } return ev; case XMLEvent.START_ELEMENT: if (!expected.startsWith("[")) { if (!ev.asStartElement().getName().getLocalPart(). equals(expected)) { throw new IOException("Failed to find <" + expected + ">; " + "got " + ev.asStartElement().getName().getLocalPart() + " instead."); } } return ev; default: // Ignore other event types like comment, etc. if (LOG.isTraceEnabled()) { LOG.trace("Skipping XMLEvent of type " + ev.getEventType() + "(" + ev + ")"); } break; } } }	long method	long method, blob	t	t	t	blob		0	10639	https://github.com/apache/hadoop/blob/128dd91e10080bdcbcd7d555fa3c4105e55a6b51/hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/OfflineImageReconstructor.java/#L184-L229	1	1298	10639
635	YES I found bad smells the bad smells are: Long method, Feature envy, long parameter list	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean configureHA(final Long resourceId, final HAResource.ResourceType resourceType, final Boolean enable, final String haProvider) { return Transaction.execute(new TransactionCallback() { @Override public Boolean doInTransaction(TransactionStatus status) { HAConfigVO haConfig = (HAConfigVO) haConfigDao.findHAResource(resourceId, resourceType); if (haConfig == null) { haConfig = new HAConfigVO(); if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (enable != null) { haConfig.setEnabled(enable); haConfig.setManagementServerId(ManagementServerNode.getManagementServerId()); } haConfig.setResourceId(resourceId); haConfig.setResourceType(resourceType); if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } if (haConfigDao.persist(haConfig) != null) { return true; } } else { if (enable != null) { haConfig.setEnabled(enable); } if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } return haConfigDao.update(haConfig.getId(), haConfig); } return false; } }); }	long method	Long method, Feature envy, long parameter list	t	f	t	Feature envy, long parameter list		0	6305	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/org/apache/cloudstack/ha/HAManagerImpl.java/#L337-L374	2	635	6305
1790	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void paintComponent(Graphics g) { XPStyle xp = XPStyle.getXP(); paintTitleBackground(g); String title = frame.getTitle(); if (title != null) { boolean isSelected = frame.isSelected(); Font oldFont = g.getFont(); Font newFont = (titleFont != null) ? titleFont : getFont(); g.setFont(newFont); // Center text vertically. FontMetrics fm = SwingUtilities2.getFontMetrics(frame, g, newFont); int baseline = (getHeight() + fm.getAscent() - fm.getLeading() - fm.getDescent()) / 2; Rectangle lastIconBounds = new Rectangle(0, 0, 0, 0); if (frame.isIconifiable()) { lastIconBounds = iconButton.getBounds(); } else if (frame.isMaximizable()) { lastIconBounds = maxButton.getBounds(); } else if (frame.isClosable()) { lastIconBounds = closeButton.getBounds(); } int titleX; int titleW; int gap = 2; if (WindowsGraphicsUtils.isLeftToRight(frame)) { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getWidth() - frame.getInsets().right; } titleX = systemLabel.getX() + systemLabel.getWidth() + gap; if (xp != null) { titleX += 2; } titleW = lastIconBounds.x - titleX - gap; } else { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getInsets().left; } titleW = SwingUtilities2.stringWidth(frame, fm, title); int minTitleX = lastIconBounds.x + lastIconBounds.width + gap; if (xp != null) { minTitleX += 2; } int availableWidth = systemLabel.getX() - gap - minTitleX; if (availableWidth > titleW) { titleX = systemLabel.getX() - gap - titleW; } else { titleX = minTitleX; titleW = availableWidth; } } title = getTitle(frame.getTitle(), fm, titleW); if (xp != null) { String shadowType = null; if (isSelected) { shadowType = xp.getString(this, Part.WP_CAPTION, State.ACTIVE, Prop.TEXTSHADOWTYPE); } if ("single".equalsIgnoreCase(shadowType)) { Point shadowOffset = xp.getPoint(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWOFFSET); Color shadowColor = xp.getColor(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWCOLOR, null); if (shadowOffset != null && shadowColor != null) { g.setColor(shadowColor); SwingUtilities2.drawString(frame, g, title, titleX + shadowOffset.x, baseline + shadowOffset.y); } } } g.setColor(isSelected ? selectedTextColor : notSelectedTextColor); SwingUtilities2.drawString(frame, g, title, titleX, baseline); g.setFont(oldFont); } }	long method	Long method2 Duplicate code	t	f	t			0	11987	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/windows/classes/com/sun/java/swing/plaf/windows/WindowsInternalFrameTitlePane.java/#L125-L205	2	1790	11987
1008	Yes I found bad smells The bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	Long method	t	f	t			0	9268	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	2	1008	9268
4676	{ "output": "YES I found bad smells", "bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public ServiceDefinition[] findServicesByToolID(final String toolId) { try { ensureDiskCacheLoaded(); accessLock.readLock().lock(); final boolean returnAll = toolId == null || toolId.length() == 0; final List requestedDefinitions = new ArrayList(); // Iterate the map of service types. Values are a map of service // instances. for (final Map mapServiceInstances : mapServices.values()) { for (final ServiceDefinition definition : mapServiceInstances.values()) { /* * NB! some service definitions in Dev12 QU1 may have null * ToolID */ if (returnAll || toolId.equalsIgnoreCase(definition.getToolID())) { requestedDefinitions.add((ServiceDefinition) definition.clone()); } } } // Return null if no matching definitions were found. if (requestedDefinitions.size() == 0) { return null; } // Return an array of the matching service definitions. return requestedDefinitions.toArray(new ServiceDefinition[requestedDefinitions.size()]); } finally { accessLock.readLock().unlock(); } }	long method	long method, data class	t	t	t	data class		0	12504	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/clients/framework/location/internal/LocationCacheManager.java/#L399-L431	1	4676	12504
1045	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final void mRULE_STRING() throws RecognitionException { try { int _type = RULE_STRING; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalXImportSectionTestLang.g:6435:13: ( ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) ) // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) { // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) int alt15=2; int LA15_0 = input.LA(1); if ( (LA15_0=='\"') ) { alt15=1; } else if ( (LA15_0=='\'') ) { alt15=2; } else { NoViableAltException nvae = new NoViableAltException("", 15, 0, input); throw nvae; } switch (alt15) { case 1 : // InternalXImportSectionTestLang.g:6435:16: '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? { match('\"'); // InternalXImportSectionTestLang.g:6435:20: ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* loop11: do { int alt11=3; int LA11_0 = input.LA(1); if ( (LA11_0=='\\') ) { alt11=1; } else if ( ((LA11_0>='\u0000' && LA11_0<='!')||(LA11_0>='#' && LA11_0<='[')||(LA11_0>=']' && LA11_0<='\uFFFF')) ) { alt11=2; } switch (alt11) { case 1 : // InternalXImportSectionTestLang.g:6435:21: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:28: ~ ( ( '\\\\' | '\"' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='!')||(input.LA(1)>='#' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop11; } } while (true); // InternalXImportSectionTestLang.g:6435:44: ( '\"' )? int alt12=2; int LA12_0 = input.LA(1); if ( (LA12_0=='\"') ) { alt12=1; } switch (alt12) { case 1 : // InternalXImportSectionTestLang.g:6435:44: '\"' { match('\"'); } break; } } break; case 2 : // InternalXImportSectionTestLang.g:6435:49: '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? { match('\''); // InternalXImportSectionTestLang.g:6435:54: ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* loop13: do { int alt13=3; int LA13_0 = input.LA(1); if ( (LA13_0=='\\') ) { alt13=1; } else if ( ((LA13_0>='\u0000' && LA13_0<='&')||(LA13_0>='(' && LA13_0<='[')||(LA13_0>=']' && LA13_0<='\uFFFF')) ) { alt13=2; } switch (alt13) { case 1 : // InternalXImportSectionTestLang.g:6435:55: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:62: ~ ( ( '\\\\' | '\\'' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='&')||(input.LA(1)>='(' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop13; } } while (true); // InternalXImportSectionTestLang.g:6435:79: ( '\\'' )? int alt14=2; int LA14_0 = input.LA(1); if ( (LA14_0=='\'') ) { alt14=1; } switch (alt14) { case 1 : // InternalXImportSectionTestLang.g:6435:79: '\\'' { match('\''); } break; } } break; } } state.type = _type; state.channel = _channel; } finally { } }	long method	Long method2 Feature envy	t	f	t			0	9454	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase.testlanguages/src-gen/org/eclipse/xtext/xbase/testlanguages/parser/antlr/internal/InternalXImportSectionTestLangLexer.java/#L2127-L2300	2	1045	9454
2272	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	Long method2 Feature envy	t	f	t			0	13768	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	2	2272	13768
2545	YES, I found bad smells The bad smells are: 1. Long method 2. Unnecessary use of boolean flags 3. Mixing of concerns (i.e. handling memory management and file writing in the same method) 4. Magic numbers (i.e. the use of the number 3 in the memory size check) 5. Inconsistent naming conventions (i.e. using both camel case and snake case)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public NestedLoopJoin(IHyracksTaskContext ctx, FrameTupleAccessor accessorOuter, FrameTupleAccessor accessorInner, ITuplePairComparator comparatorsOuter2Inner, int memSize, IPredicateEvaluator predEval, boolean isLeftOuter, IMissingWriter[] missingWriters) throws HyracksDataException { this.accessorInner = accessorInner; this.accessorOuter = accessorOuter; this.appender = new FrameTupleAppender(); this.tpComparator = comparatorsOuter2Inner; this.outBuffer = new VSizeFrame(ctx); this.innerBuffer = new VSizeFrame(ctx); this.appender.reset(outBuffer, true); if (memSize < 3) { throw new HyracksDataException("Not enough memory is available for Nested Loop Join"); } this.outerBufferMngr = new VariableFrameMemoryManager(new VariableFramePool(ctx, ctx.getInitialFrameSize() * (memSize - 2)), FrameFreeSlotPolicyFactory.createFreeSlotPolicy(EnumFreeSlotPolicy.LAST_FIT, memSize - 2)); this.predEvaluator = predEval; this.isReversed = false; this.isLeftOuter = isLeftOuter; if (isLeftOuter) { int innerFieldCount = this.accessorInner.getFieldCount(); missingTupleBuilder = new ArrayTupleBuilder(innerFieldCount); DataOutput out = missingTupleBuilder.getDataOutput(); for (int i = 0; i < innerFieldCount; i++) { missingWriters[i].writeMissing(out); missingTupleBuilder.addFieldEndOffset(); } } else { missingTupleBuilder = null; } FileReference file = ctx.getJobletContext().createManagedWorkspaceFile(this.getClass().getSimpleName() + this.toString()); runFileWriter = new RunFileWriter(file, ctx.getIoManager()); runFileWriter.open(); }	long method	Long method2 Unnecessary use of boolean flags3 Mixing of concerns (ie handling memory management and file writing in the same method)4 Magic numbers (ie the use of the number 3 in the memory size check)5 Inconsistent naming conventions (ie using both camel case and snake case)	t	f	t			0	14790	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-dataflow-std/src/main/java/org/apache/hyracks/dataflow/std/join/NestedLoopJoin.java/#L60-L97	2	2545	14790
230	{ "response": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String getNamespaceURI(Node node) { if (node instanceof Document) { node = ((Document) node).getDocumentElement(); } Element element = (Element) node; String uri = element.getNamespaceURI(); if (uri == null) { String prefix = getPrefix(node); String qname = prefix == null ? "xmlns" : "xmlns:" + prefix; Node aNode = node; while (aNode != null) { if (aNode.getNodeType() == Node.ELEMENT_NODE) { Attr attr = ((Element) aNode).getAttributeNode(qname); if (attr != null) { uri = attr.getValue(); break; } } aNode = aNode.getParentNode(); } } return "".equals(uri) ? null : uri; }	long method	long method, feature envy	t	t	t	feature envy		0	2513	https://github.com/apache/commons-jxpath/blob/eff47ab8ca52fdbc91d1313cc224324465dd043e/src/main/java/org/apache/commons/jxpath/ri/model/dom/DOMNodePointer.java/#L672-L697	1	230	2513
1147	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public List discoverHosts(final AddHostCmd cmd) throws IllegalArgumentException, DiscoveryException, InvalidParameterValueException { Long dcId = cmd.getZoneId(); final Long podId = cmd.getPodId(); final Long clusterId = cmd.getClusterId(); String clusterName = cmd.getClusterName(); final String url = cmd.getUrl(); final String username = cmd.getUsername(); final String password = cmd.getPassword(); final List hostTags = cmd.getHostTags(); dcId = _accountMgr.checkAccessAndSpecifyAuthority(CallContext.current().getCallingAccount(), dcId); // this is for standalone option if (clusterName == null && clusterId == null) { clusterName = "Standalone-" + url; } if (clusterId != null) { final ClusterVO cluster = _clusterDao.findById(clusterId); if (cluster == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("can not find cluster for specified clusterId"); ex.addProxyObject(clusterId.toString(), "clusterId"); throw ex; } else { if (cluster.getGuid() == null) { final List hosts = listAllHostsInCluster(clusterId); if (!hosts.isEmpty()) { final CloudRuntimeException ex = new CloudRuntimeException("Guid is not updated for cluster with specified cluster id; need to wait for hosts in this cluster to come up"); ex.addProxyObject(cluster.getUuid(), "clusterId"); throw ex; } } } } return discoverHostsFull(dcId, podId, clusterId, clusterName, url, username, password, cmd.getHypervisor(), hostTags, cmd.getFullUrlParams(), false); }	long method	Long method2 Feature envy	t	f	t			0	10122	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/resource/ResourceManagerImpl.java/#L573-L611	2	1147	10122
2149	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static RuleSet parse(final Reader configReader, EventLoggerProvider eventLogger) { RuleSetCreator ruleSetCreator = new RuleSetCreator(); int line = 0; try(Reader fileReader = configReader) { LOGGER.debug("About to load ACL file"); StreamTokenizer tokenizer = new StreamTokenizer(new BufferedReader(fileReader)); tokenizer.resetSyntax(); // setup the tokenizer tokenizer.commentChar(COMMENT); // single line comments tokenizer.eolIsSignificant(true); // return EOL as a token tokenizer.ordinaryChar('='); // equals is a token tokenizer.ordinaryChar(CONTINUATION); // continuation character (when followed by EOL) tokenizer.quoteChar('"'); // double quote tokenizer.quoteChar('\''); // single quote tokenizer.whitespaceChars('\u0000', '\u0020'); // whitespace (to be ignored) TODO properly tokenizer.wordChars('a', 'z'); // unquoted token characters [a-z] tokenizer.wordChars('A', 'Z'); // [A-Z] tokenizer.wordChars('0', '9'); // [0-9] tokenizer.wordChars('_', '_'); // underscore tokenizer.wordChars('-', '-'); // dash tokenizer.wordChars('.', '.'); // dot tokenizer.wordChars('*', '*'); // star tokenizer.wordChars('@', '@'); // at tokenizer.wordChars(':', ':'); // colon // parse the acl file lines Stack stack = new Stack<>(); int current; do { current = tokenizer.nextToken(); line = tokenizer.lineno()-1; switch (current) { case StreamTokenizer.TT_EOF: case StreamTokenizer.TT_EOL: if (stack.isEmpty()) { break; // blank line } // pull out the first token from the bottom of the stack and check arguments exist String first = stack.firstElement(); stack.removeElementAt(0); if (stack.isEmpty()) { throw new IllegalConfigurationException(String.format(NOT_ENOUGH_TOKENS_MSG, line)); } // check for and parse optional initial number for ACL lines Integer number = null; if (first != null && first.matches("\\d+")) { // set the acl number and get the next element number = Integer.valueOf(first); first = stack.firstElement(); stack.removeElementAt(0); } if (ACL.equalsIgnoreCase(first)) { parseAcl(number, stack, ruleSetCreator, line); } else if (number == null) { if("GROUP".equalsIgnoreCase(first)) { throw new IllegalConfigurationException(String.format("GROUP keyword not supported at " + "line %d. Groups should defined " + "via a Group Provider, not in " + "the ACL file.", line)); } else if (CONFIG.equalsIgnoreCase(first)) { parseConfig(stack, ruleSetCreator, line); } else { throw new IllegalConfigurationException(String.format(UNRECOGNISED_INITIAL_MSG, first, line)); } } else { throw new IllegalConfigurationException(String.format(NUMBER_NOT_ALLOWED_MSG, first, line)); } // reset stack, start next line stack.clear(); break; case StreamTokenizer.TT_NUMBER: stack.push(Integer.toString(Double.valueOf(tokenizer.nval).intValue())); break; case StreamTokenizer.TT_WORD: stack.push(tokenizer.sval); // token break; default: if (tokenizer.ttype == CONTINUATION) { int next = tokenizer.nextToken(); line = tokenizer.lineno()-1; if (next == StreamTokenizer.TT_EOL) { break; // continue reading next line } // invalid location for continuation character (add one to line because we ate the EOL) throw new IllegalConfigurationException(String.format(PREMATURE_CONTINUATION_MSG, line + 1)); } else if (tokenizer.ttype == '\'' || tokenizer.ttype == '"') { stack.push(tokenizer.sval); // quoted token } else { stack.push(Character.toString((char) tokenizer.ttype)); // single character } } } while (current != StreamTokenizer.TT_EOF); if (!stack.isEmpty()) { throw new IllegalConfigurationException(String.format(PREMATURE_EOF_MSG, line)); } } catch (IllegalArgumentException iae) { throw new IllegalConfigurationException(String.format(PARSE_TOKEN_FAILED_MSG, line), iae); } catch (IOException ioe) { throw new IllegalConfigurationException(CANNOT_LOAD_MSG, ioe); } return ruleSetCreator.createRuleSet(eventLogger); }	long method	long method	t	t	t			0	13283	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-plugins/access-control/src/main/java/org/apache/qpid/server/security/access/config/AclFileParser.java/#L113-L249	1	2149	13283
1543	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String toString() { if (subject == null || pubKey == null || interval == null || issuer == null || algId == null || serialNum == null) { throw new NullPointerException("X.509 cert is incomplete"); } StringBuilder sb = new StringBuilder(); sb.append("[\n"); sb.append(" " + version.toString() + "\n"); sb.append(" Subject: " + subject.toString() + "\n"); sb.append(" Signature Algorithm: " + algId.toString() + "\n"); sb.append(" Key: " + pubKey.toString() + "\n"); sb.append(" " + interval.toString() + "\n"); sb.append(" Issuer: " + issuer.toString() + "\n"); sb.append(" " + serialNum.toString() + "\n"); // optional v2, v3 extras if (issuerUniqueId != null) { sb.append(" Issuer Id:\n" + issuerUniqueId.toString() + "\n"); } if (subjectUniqueId != null) { sb.append(" Subject Id:\n" + subjectUniqueId.toString() + "\n"); } if (extensions != null) { Collection allExts = extensions.getAllExtensions(); Extension[] exts = allExts.toArray(new Extension[0]); sb.append("\nCertificate Extensions: " + exts.length); for (int i = 0; i < exts.length; i++) { sb.append("\n[" + (i+1) + "]: "); Extension ext = exts[i]; try { if (OIDMap.getClass(ext.getExtensionId()) == null) { sb.append(ext.toString()); byte[] extValue = ext.getExtensionValue(); if (extValue != null) { DerOutputStream out = new DerOutputStream(); out.putOctetString(extValue); extValue = out.toByteArray(); HexDumpEncoder enc = new HexDumpEncoder(); sb.append("Extension unknown: " + "DER encoded OCTET string =\n" + enc.encodeBuffer(extValue) + "\n"); } } else sb.append(ext.toString()); //sub-class exists } catch (Exception e) { sb.append(", Error parsing this extension"); } } Map invalid = extensions.getUnparseableExtensions(); if (invalid.isEmpty() == false) { sb.append("\nUnparseable certificate extensions: " + invalid.size()); int i = 1; for (Extension ext : invalid.values()) { sb.append("\n[" + (i++) + "]: "); sb.append(ext); } } } sb.append("\n]"); return sb.toString(); }	long method	Long method2 Feature envy	t	f	t			0	11243	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/x509/X509CertInfo.java/#L292-L354	2	1543	11243
963	{ "message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private LdapComparator classLoadComparator( SchemaManager schemaManager, String oid, String className, Attribute byteCode ) throws LdapException { // Try to class load the comparator LdapComparator comparator; Class clazz; String byteCodeStr = StringConstants.EMPTY; if ( byteCode == null ) { try { clazz = Class.forName( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16056_CANNOT_FIND_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16057_CANNOT_FIND_CMP_CLASS, cnfe.getMessage() ) ); } } else { classLoader.setAttribute( byteCode ); try { clazz = classLoader.loadClass( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16058_CANNOT_LOAD_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16059_CANNOT_LOAD_CMP_CLASS, cnfe.getMessage() ) ); } byteCodeStr = new String( Base64.encode( byteCode.getBytes() ) ); } // Create the comparator instance. Either we have a no argument constructor, // or we have one which takes an OID. Lets try the one with an OID argument first try { Constructor constructor = clazz.getConstructor( new Class[] { String.class } ); try { comparator = ( LdapComparator ) constructor.newInstance( oid ); } catch ( InvocationTargetException ite ) { LOG.error( I18n.err( I18n.ERR_16060_CANNOT_INVOKE_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16061_CANNOT_INVOKE_CMP_CLASS, ite.getMessage() ) ); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException ie ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, ie.getMessage() ) ); } } catch ( NoSuchMethodException nsme ) { // Ok, let's try with the constructor without argument. // In this case, we will have to check that the OID is the same than // the one we got in the Comparator entry try { clazz.getConstructor(); } catch ( NoSuchMethodException nsme2 ) { LOG.error( I18n.err( I18n.ERR_16066_CANNOT_FIND_CMP_CTOR_METH_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16067_CANNOT_FIND_CMP_CTOR_METH, nsme2.getMessage() ) ); } try { comparator = ( LdapComparator ) clazz.newInstance(); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException iae ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, iae.getMessage() ) ); } if ( !comparator.getOid().equals( oid ) ) { String msg = I18n.err( I18n.ERR_16021_DIFFERENT_COMPARATOR_OID, oid, comparator.getOid() ); throw new LdapInvalidAttributeValueException( ResultCodeEnum.UNWILLING_TO_PERFORM, msg, nsme ); } } // Update the loadable fields comparator.setBytecode( byteCodeStr ); comparator.setFqcn( className ); // Inject the SchemaManager for the comparator who needs it comparator.setSchemaManager( schemaManager ); return comparator; }	long method	long method, data class	t	t	t	data class		0	8574	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/schema/data/src/main/java/org/apache/directory/api/ldap/schema/loader/SchemaEntityFactory.java/#L514-L623	1	963	8574
5507	{"message": "YES I found bad smells", "bad smells are": ["Long method", "Feature envy"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	long method, feature envy	t	t	t	feature envy		0	3711	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	2	5507	3711
1898	{ "output": "YES I found bad smells\nthe bad smells are:\n1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final EObject ruleXOtherOperatorExpression() throws RecognitionException { EObject current = null; EObject this_XAdditiveExpression_0 = null; EObject lv_rightOperand_3_0 = null; enterRule(); try { // InternalXbase.g:873:2: ( (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) ) // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) { // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) // InternalXbase.g:875:3: this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getXAdditiveExpressionParserRuleCall_0()); } pushFollow(FOLLOW_14); this_XAdditiveExpression_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current = this_XAdditiveExpression_0; afterParserOrEnumRuleCall(); } // InternalXbase.g:883:3: ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* loop11: do { int alt11=2; alt11 = dfa11.predict(input); switch (alt11) { case 1 : // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) { // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) // InternalXbase.g:885:5: ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) { // InternalXbase.g:895:5: ( () ( ( ruleOpOther ) ) ) // InternalXbase.g:896:6: () ( ( ruleOpOther ) ) { // InternalXbase.g:896:6: () // InternalXbase.g:897:7: { if ( state.backtracking==0 ) { current = forceCreateModelElementAndSet( grammarAccess.getXOtherOperatorExpressionAccess().getXBinaryOperationLeftOperandAction_1_0_0_0(), current); } } // InternalXbase.g:903:6: ( ( ruleOpOther ) ) // InternalXbase.g:904:7: ( ruleOpOther ) { // InternalXbase.g:904:7: ( ruleOpOther ) // InternalXbase.g:905:8: ruleOpOther { if ( state.backtracking==0 ) { if (current==null) { current = createModelElement(grammarAccess.getXOtherOperatorExpressionRule()); } } if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getFeatureJvmIdentifiableElementCrossReference_1_0_0_1_0()); } pushFollow(FOLLOW_4); ruleOpOther(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { afterParserOrEnumRuleCall(); } } } } } // InternalXbase.g:921:4: ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) { // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) // InternalXbase.g:923:6: lv_rightOperand_3_0= ruleXAdditiveExpression { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getRightOperandXAdditiveExpressionParserRuleCall_1_1_0()); } pushFollow(FOLLOW_14); lv_rightOperand_3_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { if (current==null) { current = createModelElementForParent(grammarAccess.getXOtherOperatorExpressionRule()); } set( current, "rightOperand", lv_rightOperand_3_0, "org.eclipse.xtext.xbase.Xbase.XAdditiveExpression"); afterParserOrEnumRuleCall(); } } } } break; default : break loop11; } } while (true); } } if ( state.backtracking==0 ) { leaveRule(); } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	\n1. long method	t	t	t			0	12351	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/parser/antlr/internal/InternalXbaseParser.java/#L2675-L2841	1	1898	12351
958	{ "message": "YES I found bad smells", "detected_bad_smells": [ "The bad smells are: Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected static boolean typeCheckMethodsWithGenerics(ClassNode receiver, ClassNode[] arguments, MethodNode candidateMethod) { if (isUsingUncheckedGenerics(receiver)) { return true; } if (CLASS_Type.equals(receiver) && receiver.isUsingGenerics() && !candidateMethod.getDeclaringClass().equals(receiver) && !(candidateMethod instanceof ExtensionMethodNode)) { return typeCheckMethodsWithGenerics(receiver.getGenericsTypes()[0].getType(), arguments, candidateMethod); } // both candidate method and receiver have generic information so a check is possible GenericsType[] genericsTypes = candidateMethod.getGenericsTypes(); boolean methodUsesGenerics = (genericsTypes != null && genericsTypes.length > 0); boolean isExtensionMethod = candidateMethod instanceof ExtensionMethodNode; if (isExtensionMethod && methodUsesGenerics) { ClassNode[] dgmArgs = new ClassNode[arguments.length + 1]; dgmArgs[0] = receiver; System.arraycopy(arguments, 0, dgmArgs, 1, arguments.length); MethodNode extensionMethodNode = ((ExtensionMethodNode) candidateMethod).getExtensionMethodNode(); return typeCheckMethodsWithGenerics(extensionMethodNode.getDeclaringClass(), dgmArgs, extensionMethodNode, true); } else { return typeCheckMethodsWithGenerics(receiver, arguments, candidateMethod, false); } }	long method	the bad smells are: long method	t	t	t			0	8556	https://github.com/apache/groovy/blob/00ee0547c00673a93e0843a9d72c8e4293d1efdb/src/main/java/org/codehaus/groovy/transform/stc/StaticTypeCheckingSupport.java/#L1460-L1483	1	958	8556
561	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String toString() { if (subject == null || pubKey == null || interval == null || issuer == null || algId == null || serialNum == null) { throw new NullPointerException("X.509 cert is incomplete"); } StringBuilder sb = new StringBuilder(); sb.append("[\n"); sb.append(" " + version.toString() + "\n"); sb.append(" Subject: " + subject.toString() + "\n"); sb.append(" Signature Algorithm: " + algId.toString() + "\n"); sb.append(" Key: " + pubKey.toString() + "\n"); sb.append(" " + interval.toString() + "\n"); sb.append(" Issuer: " + issuer.toString() + "\n"); sb.append(" " + serialNum.toString() + "\n"); // optional v2, v3 extras if (issuerUniqueId != null) { sb.append(" Issuer Id:\n" + issuerUniqueId.toString() + "\n"); } if (subjectUniqueId != null) { sb.append(" Subject Id:\n" + subjectUniqueId.toString() + "\n"); } if (extensions != null) { Collection allExts = extensions.getAllExtensions(); Extension[] exts = allExts.toArray(new Extension[0]); sb.append("\nCertificate Extensions: " + exts.length); for (int i = 0; i < exts.length; i++) { sb.append("\n[" + (i+1) + "]: "); Extension ext = exts[i]; try { if (OIDMap.getClass(ext.getExtensionId()) == null) { sb.append(ext.toString()); byte[] extValue = ext.getExtensionValue(); if (extValue != null) { DerOutputStream out = new DerOutputStream(); out.putOctetString(extValue); extValue = out.toByteArray(); HexDumpEncoder enc = new HexDumpEncoder(); sb.append("Extension unknown: " + "DER encoded OCTET string =\n" + enc.encodeBuffer(extValue) + "\n"); } } else sb.append(ext.toString()); //sub-class exists } catch (Exception e) { sb.append(", Error parsing this extension"); } } Map invalid = extensions.getUnparseableExtensions(); if (invalid.isEmpty() == false) { sb.append("\nUnparseable certificate extensions: " + invalid.size()); int i = 1; for (Extension ext : invalid.values()) { sb.append("\n[" + (i++) + "]: "); sb.append(ext); } } } sb.append("\n]"); return sb.toString(); }	long method	long method, data class	t	t	t	data class		0	5662	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/x509/X509CertInfo.java/#L292-L354	1	561	5662
3381	{"output": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String shortenDbName(String dbName, int desiredLength) { StringBuilder dbBuf = new StringBuilder(dbName); if (dbBuf.length() > desiredLength) { // remove one vowel at a time, starting at beginning for (int i = dbBuf.length() - 1; i > 0; i--) { // don't remove vowels that are at the beginning of the string (taken care of by the i > 0) or right after an underscore if (dbBuf.charAt(i - 1) == '_') { continue; } char curChar = dbBuf.charAt(i); if (vowelBag.indexOf(curChar) > 0) { dbBuf.deleteCharAt(i); } } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { boolean removedChars = false; int usIndex = dbBuf.lastIndexOf("_"); while (usIndex > 0 && dbBuf.length() > desiredLength) { // if this is the first word in the group, don't pull letters off unless it is 4 letters or more int prevUsIndex = dbBuf.lastIndexOf("_", usIndex - 1); if (prevUsIndex < 0 && usIndex < 4) { break; } // don't remove characters to reduce the size two less than three characters between underscores if (prevUsIndex >= 0 && (usIndex - prevUsIndex) <= 4) { usIndex = prevUsIndex; continue; } // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(usIndex - 2); removedChars = true; if (usIndex > 2) { usIndex = dbBuf.lastIndexOf("_", usIndex - 2); } else { break; } } // now delete the char at the end of the string if necessary if (dbBuf.length() > desiredLength) { int removeIndex = dbBuf.length() - 1; int prevRemoveIndex = dbBuf.lastIndexOf("_", removeIndex - 1); // don't remove characters to reduce the size two less than two characters between underscores if (prevRemoveIndex < 0 || (removeIndex - prevRemoveIndex) >= 3) { // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(removeIndex - 1); removedChars = true; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); removedChars = true; } // if we didn't remove anything break out to avoid an infinite loop if (!removedChars) { break; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { // still not short enough, get more aggressive // don't remove the first segment, just remove the second over and over until we are short enough int firstUs = dbBuf.indexOf("_"); if (firstUs > 0) { int nextUs = dbBuf.indexOf("_", firstUs + 1); if (nextUs > 0) { //Debug.logInfo("couldn't shorten enough normally, removing second segment from " + dbBuf, module); dbBuf.delete(firstUs, nextUs); } } } //Debug.logInfo("Shortened " + dbName + " to " + dbBuf.toString(), module); return dbBuf.toString(); }	long method	1. long method	t	t	t			0	6543	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/entity/src/main/java/org/apache/ofbiz/entity/model/ModelUtil.java/#L155-L248	1	3381	6543
717	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void emitStackMove(CompilationResultBuilder crb, AArch64MacroAssembler masm, AllocatableValue result, Value input) { try (ScratchRegister r1 = masm.getScratchRegister()) { try (ScratchRegister r2 = masm.getScratchRegister()) { Register rscratch1 = r1.getRegister(); Register rscratch2 = r2.getRegister(); // use the slot kind to define the operand size PlatformKind kind = input.getPlatformKind(); final int size = kind.getSizeInBytes() * Byte.SIZE; // Always perform stack -> stack copies through integer registers crb.blockComment("[stack -> stack copy]"); AArch64Address src = loadStackSlotAddress(crb, masm, asStackSlot(input), rscratch2); masm.ldr(size, rscratch1, src); AArch64Address dst = loadStackSlotAddress(crb, masm, asStackSlot(result), rscratch2); masm.str(size, rscratch1, dst); } } }	long method	long method, data class	t	t	t	data class		0	6826	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.internal.vm.compiler/share/classes/org.graalvm.compiler.lir.aarch64/src/org/graalvm/compiler/lir/aarch64/AArch64Move.java/#L393-L410	1	717	6826
2369	YES, I found bad smells the bad smells are: Long method, Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int setPath(Path2D path) { Rectangle2D bounds = path.getBounds2D(); PathIterator it = path.getPathIterator(null); List segInfo = new ArrayList<>(); List pntInfo = new ArrayList<>(); boolean isClosed = false; int numPoints = 0; while (!it.isDone()) { double[] vals = new double[6]; int type = it.currentSegment(vals); switch (type) { case PathIterator.SEG_MOVETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_MOVETO); numPoints++; break; case PathIterator.SEG_LINETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); numPoints++; break; case PathIterator.SEG_CUBICTO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); pntInfo.add(new Point2D.Double(vals[2], vals[3])); pntInfo.add(new Point2D.Double(vals[4], vals[5])); segInfo.add(SEGMENTINFO_CUBICTO); segInfo.add(SEGMENTINFO_ESCAPE2); numPoints++; break; case PathIterator.SEG_QUADTO: //TODO: figure out how to convert SEG_QUADTO into SEG_CUBICTO LOG.log(POILogger.WARN, "SEG_QUADTO is not supported"); break; case PathIterator.SEG_CLOSE: pntInfo.add(pntInfo.get(0)); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_CLOSE); isClosed = true; numPoints++; break; default: LOG.log(POILogger.WARN, "Ignoring invalid segment type "+type); break; } it.next(); } if(!isClosed) { segInfo.add(SEGMENTINFO_LINETO); } segInfo.add(SEGMENTINFO_END); AbstractEscherOptRecord opt = getEscherOptRecord(); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__SHAPEPATH, 0x4)); EscherArrayProperty verticesProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__VERTICES + 0x4000), false, null); verticesProp.setNumberOfElementsInArray(pntInfo.size()); verticesProp.setNumberOfElementsInMemory(pntInfo.size()); verticesProp.setSizeOfElements(8); for (int i = 0; i < pntInfo.size(); i++) { Point2D.Double pnt = pntInfo.get(i); byte[] data = new byte[8]; LittleEndian.putInt(data, 0, Units.pointsToMaster(pnt.getX() - bounds.getX())); LittleEndian.putInt(data, 4, Units.pointsToMaster(pnt.getY() - bounds.getY())); verticesProp.setElement(i, data); } opt.addEscherProperty(verticesProp); EscherArrayProperty segmentsProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__SEGMENTINFO + 0x4000), false, null); segmentsProp.setNumberOfElementsInArray(segInfo.size()); segmentsProp.setNumberOfElementsInMemory(segInfo.size()); segmentsProp.setSizeOfElements(0x2); for (int i = 0; i < segInfo.size(); i++) { byte[] seg = segInfo.get(i); segmentsProp.setElement(i, seg); } opt.addEscherProperty(segmentsProp); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__RIGHT, Units.pointsToMaster(bounds.getWidth()))); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__BOTTOM, Units.pointsToMaster(bounds.getHeight()))); opt.sortProperties(); setAnchor(bounds); return numPoints; }	long method	Long method, Feature envy	t	f	t	Feature envy		0	14303	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/scratchpad/src/org/apache/poi/hslf/usermodel/HSLFFreeformShape.java/#L107-L198	2	2369	14303
1225	YES, I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean executeSyncCmsId(NuageVspDeviceVO nuageVspDevice, SyncType syncType) { NuageVspDeviceVO matchingNuageVspDevice = findMatchingNuageVspDevice(nuageVspDevice); if (syncType == SyncType.REGISTER && matchingNuageVspDevice != null) { String cmsId = findNuageVspCmsIdForDeviceOrHost(matchingNuageVspDevice.getId(), matchingNuageVspDevice.getHostId()); registerNewNuageVspDevice(nuageVspDevice.getHostId(), cmsId); return true; } String cmsId = findNuageVspCmsIdForDeviceOrHost(nuageVspDevice.getId(), nuageVspDevice.getHostId()); SyncNuageVspCmsIdCommand syncCmd = new SyncNuageVspCmsIdCommand(syncType, cmsId); SyncNuageVspCmsIdAnswer answer = (SyncNuageVspCmsIdAnswer) _agentMgr.easySend(nuageVspDevice.getHostId(), syncCmd); if (answer != null) { if (answer.getSuccess()) { if (syncType == SyncType.REGISTER || answer.getSyncType() == SyncType.REGISTER) { registerNewNuageVspDevice(nuageVspDevice.getHostId(), answer.getNuageVspCmsId()); } else if (syncType == SyncType.UNREGISTER) { removeLegacyNuageVspDeviceCmsId(nuageVspDevice.getId()); } } else if (syncType == SyncType.AUDIT || syncType == SyncType.AUDIT_ONLY) { s_logger.fatal("Nuage VSP Device with ID " + nuageVspDevice.getId() + " is configured with an unknown CMS ID!"); } } return answer != null && answer.getSuccess(); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	10351	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/nuage-vsp/src/main/java/com/cloud/network/manager/NuageVspManagerImpl.java/#L686-L711	2	1225	10351
2193	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean incrementToken() throws IOException { for(;;) { if (!remainingTokens.isEmpty()) { // clearAttributes(); // not currently necessary restoreState(remainingTokens.removeFirst()); return true; } if (!input.incrementToken()) return false; int len = termAtt.length(); if (len==0) return true; // pass through zero length terms int firstAlternativeIncrement = inject ? 0 : posAtt.getPositionIncrement(); String v = termAtt.toString(); String primaryPhoneticValue = encoder.doubleMetaphone(v); String alternatePhoneticValue = encoder.doubleMetaphone(v, true); // a flag to lazily save state if needed... this avoids a save/restore when only // one token will be generated. boolean saveState=inject; if (primaryPhoneticValue!=null && primaryPhoneticValue.length() > 0 && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); } posAtt.setPositionIncrement( firstAlternativeIncrement ); firstAlternativeIncrement = 0; termAtt.setEmpty().append(primaryPhoneticValue); saveState = true; } if (alternatePhoneticValue!=null && alternatePhoneticValue.length() > 0 && !alternatePhoneticValue.equals(primaryPhoneticValue) && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); saveState = false; } posAtt.setPositionIncrement( firstAlternativeIncrement ); termAtt.setEmpty().append(alternatePhoneticValue); saveState = true; } // Just one token to return, so no need to capture/restore // any state, simply return it. if (remainingTokens.isEmpty()) { return true; } if (saveState) { remainingTokens.addLast(captureState()); } } }	long method	1. long method, 2. data class	t	t	t	2. data class		0	13477	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/phonetic/src/java/org/apache/lucene/analysis/phonetic/DoubleMetaphoneFilter.java/#L51-L108	1	2193	13477
671	YES I found bad smells the bad smells are: 1. Long Method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	Long Method2 Feature Envy	t	f	t			0	6554	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	2	671	6554
1547	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private JPEGImageMetadataFormat() { super(JPEG.nativeImageMetadataFormatName, CHILD_POLICY_ALL); addElement("JPEGvariety", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_CHOICE); addElement("markerSequence", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_SEQUENCE); addElement("app0JFIF", "JPEGvariety", CHILD_POLICY_SOME); addStreamElements("markerSequence"); addElement("app14Adobe", "markerSequence", CHILD_POLICY_EMPTY); addElement("sof", "markerSequence", 1, 4); addElement("sos", "markerSequence", 1, 4); addElement("JFXX", "app0JFIF", 1, Integer.MAX_VALUE); addElement("app0JFXX", "JFXX", CHILD_POLICY_CHOICE); addElement("app2ICC", "app0JFIF", CHILD_POLICY_EMPTY); addAttribute("app0JFIF", "majorVersion", DATATYPE_INTEGER, false, "1", "0", "255", true, true); addAttribute("app0JFIF", "minorVersion", DATATYPE_INTEGER, false, "2", "0", "255", true, true); List resUnits = new ArrayList<>(); resUnits.add("0"); resUnits.add("1"); resUnits.add("2"); addAttribute("app0JFIF", "resUnits", DATATYPE_INTEGER, false, "0", resUnits); addAttribute("app0JFIF", "Xdensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "Ydensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "thumbWidth", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addAttribute("app0JFIF", "thumbHeight", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addElement("JFIFthumbJPEG", "app0JFXX", CHILD_POLICY_SOME); addElement("JFIFthumbPalette", "app0JFXX", CHILD_POLICY_EMPTY); addElement("JFIFthumbRGB", "app0JFXX", CHILD_POLICY_EMPTY); List codes = new ArrayList<>(); codes.add("16"); // Hex 10 codes.add("17"); // Hex 11 codes.add("19"); // Hex 13 addAttribute("app0JFXX", "extensionCode", DATATYPE_INTEGER, false, null, codes); addChildElement("markerSequence", "JFIFthumbJPEG"); addAttribute("JFIFthumbPalette", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbPalette", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addObjectValue("app2ICC", ICC_Profile.class, false, null); addAttribute("app14Adobe", "version", DATATYPE_INTEGER, false, "100", "100", "255", true, true); addAttribute("app14Adobe", "flags0", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); addAttribute("app14Adobe", "flags1", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); List transforms = new ArrayList<>(); transforms.add("0"); transforms.add("1"); transforms.add("2"); addAttribute("app14Adobe", "transform", DATATYPE_INTEGER, true, null, transforms); addElement("componentSpec", "sof", CHILD_POLICY_EMPTY); List procs = new ArrayList<>(); procs.add("0"); procs.add("1"); procs.add("2"); addAttribute("sof", "process", DATATYPE_INTEGER, false, null, procs); addAttribute("sof", "samplePrecision", DATATYPE_INTEGER, false, "8"); addAttribute("sof", "numLines", DATATYPE_INTEGER, false, null, "0", "65535", true, true); addAttribute("sof", "samplesPerLine", DATATYPE_INTEGER, false, null, "0", "65535", true, true); List comps = new ArrayList<>(); comps.add("1"); comps.add("2"); comps.add("3"); comps.add("4"); addAttribute("sof", "numFrameComponents", DATATYPE_INTEGER, false, null, comps); addAttribute("componentSpec", "componentId", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("componentSpec", "HsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); addAttribute("componentSpec", "VsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); List tabids = new ArrayList<>(); tabids.add("0"); tabids.add("1"); tabids.add("2"); tabids.add("3"); addAttribute("componentSpec", "QtableSelector", DATATYPE_INTEGER, true, null, tabids); addElement("scanComponentSpec", "sos", CHILD_POLICY_EMPTY); addAttribute("sos", "numScanComponents", DATATYPE_INTEGER, true, null, comps); addAttribute("sos", "startSpectralSelection", DATATYPE_INTEGER, false, "0", "0", "63", true, true); addAttribute("sos", "endSpectralSelection", DATATYPE_INTEGER, false, "63", "0", "63", true, true); addAttribute("sos", "approxHigh", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("sos", "approxLow", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("scanComponentSpec", "componentSelector", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("scanComponentSpec", "dcHuffTable", DATATYPE_INTEGER, true, null, tabids); addAttribute("scanComponentSpec", "acHuffTable", DATATYPE_INTEGER, true, null, tabids); }	long method	Long Method	t	f	t			0	11256	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/com/sun/imageio/plugins/jpeg/JPEGImageMetadataFormat.java/#L43-L338	1	1547	11256
136	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, FetchRuleKeyLogsRequest struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RULE_KEYS if (schemeField.type == org.apache.thrift.protocol.TType.LIST) { { org.apache.thrift.protocol.TList _list184 = iprot.readListBegin(); struct.ruleKeys = new java.util.ArrayList(_list184.size); java.lang.String _elem185; for (int _i186 = 0; _i186 < _list184.size; ++_i186) { _elem185 = iprot.readString(); struct.ruleKeys.add(_elem185); } iprot.readListEnd(); } struct.setRuleKeysIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // REPOSITORY if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.repository = iprot.readString(); struct.setRepositoryIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // SCHEDULE_TYPE if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.scheduleType = iprot.readString(); struct.setScheduleTypeIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // DISTRIBUTED_BUILD_MODE_ENABLED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.distributedBuildModeEnabled = iprot.readBool(); struct.setDistributedBuildModeEnabledIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); // check for required fields of primitive type, which can't be checked in the validate method struct.validate(); }	long method	long method	t	t	t			0	1673	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src-gen/com/facebook/buck/distributed/thrift/FetchRuleKeyLogsRequest.java/#L547-L608	1	136	1673
2822	{ "output": "YES I found bad smells", "bad smells are": "1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @Nullable public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { // Invocation on EntityManager interface coming in... if (method.getName().equals("equals")) { // Only consider equal when proxies are identical. return (proxy == args[0]); } else if (method.getName().equals("hashCode")) { // Use hashCode of EntityManager proxy. return hashCode(); } else if (method.getName().equals("toString")) { // Deliver toString without touching a target EntityManager. return "Shared EntityManager proxy for target factory [" + this.targetFactory + "]"; } else if (method.getName().equals("getEntityManagerFactory")) { // JPA 2.0: return EntityManagerFactory without creating an EntityManager. return this.targetFactory; } else if (method.getName().equals("getCriteriaBuilder") || method.getName().equals("getMetamodel")) { // JPA 2.0: return EntityManagerFactory's CriteriaBuilder/Metamodel (avoid creation of EntityManager) try { return EntityManagerFactory.class.getMethod(method.getName()).invoke(this.targetFactory); } catch (InvocationTargetException ex) { throw ex.getTargetException(); } } else if (method.getName().equals("unwrap")) { // JPA 2.0: handle unwrap method - could be a proxy match. Class targetClass = (Class) args[0]; if (targetClass != null && targetClass.isInstance(proxy)) { return proxy; } } else if (method.getName().equals("isOpen")) { // Handle isOpen method: always return true. return true; } else if (method.getName().equals("close")) { // Handle close method: suppress, not valid. return null; } else if (method.getName().equals("getTransaction")) { throw new IllegalStateException( "Not allowed to create transaction on shared EntityManager - " + "use Spring transactions or EJB CMT instead"); } // Determine current EntityManager: either the transactional one // managed by the factory or a temporary one for the given invocation. EntityManager target = EntityManagerFactoryUtils.doGetTransactionalEntityManager( this.targetFactory, this.properties, this.synchronizedWithTransaction); if (method.getName().equals("getTargetEntityManager")) { // Handle EntityManagerProxy interface. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } return target; } else if (method.getName().equals("unwrap")) { Class targetClass = (Class) args[0]; if (targetClass == null) { return (target != null ? target : proxy); } // We need a transactional target now. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } // Still perform unwrap call on target EntityManager. } else if (transactionRequiringMethods.contains(method.getName())) { // We need a transactional target now, according to the JPA spec. // Otherwise, the operation would get accepted but remain unflushed... if (target == null || (!TransactionSynchronizationManager.isActualTransactionActive() && !target.getTransaction().isActive())) { throw new TransactionRequiredException("No EntityManager with actual transaction available " + "for current thread - cannot reliably process '" + method.getName() + "' call"); } } // Regular EntityManager operations. boolean isNewEm = false; if (target == null) { logger.debug("Creating new EntityManager for shared EntityManager invocation"); target = (!CollectionUtils.isEmpty(this.properties) ? this.targetFactory.createEntityManager(this.properties) : this.targetFactory.createEntityManager()); isNewEm = true; } // Invoke method on current EntityManager. try { Object result = method.invoke(target, args); if (result instanceof Query) { Query query = (Query) result; if (isNewEm) { Class[] ifcs = ClassUtils.getAllInterfacesForClass(query.getClass(), this.proxyClassLoader); result = Proxy.newProxyInstance(this.proxyClassLoader, ifcs, new DeferredQueryInvocationHandler(query, target)); isNewEm = false; } else { EntityManagerFactoryUtils.applyTransactionTimeout(query, this.targetFactory); } } return result; } catch (InvocationTargetException ex) { throw ex.getTargetException(); } finally { if (isNewEm) { EntityManagerFactoryUtils.closeEntityManager(target); } } }	long method	1. long method	t	t	t			0	1499	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-orm/src/main/java/org/springframework/orm/jpa/SharedEntityManagerCreator.java/#L212-L331	1	2822	1499
2307	YES I found bad smells the bad smells are: 1. long method 2. feature envy 3. inconsistent naming conventions 4. unnecessary comments 5. lack of proper documentation or comments 6. hard-coded values 7. unnecessary type casting 8. long variable names 9. nested loops 10. excessive use of if/else statements	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public double correlation(final double[] xArray, final double[] yArray) throws DimensionMismatchException { if (xArray.length != yArray.length) { throw new DimensionMismatchException(xArray.length, yArray.length); } final int n = xArray.length; final long numPairs = sum(n - 1); @SuppressWarnings("unchecked") Pair[] pairs = new Pair[n]; for (int i = 0; i < n; i++) { pairs[i] = new Pair<>(xArray[i], yArray[i]); } Arrays.sort(pairs, new Comparator>() { /** {@inheritDoc} */ @Override public int compare(Pair pair1, Pair pair2) { int compareFirst = pair1.getFirst().compareTo(pair2.getFirst()); return compareFirst != 0 ? compareFirst : pair1.getSecond().compareTo(pair2.getSecond()); } }); long tiedXPairs = 0; long tiedXYPairs = 0; long consecutiveXTies = 1; long consecutiveXYTies = 1; Pair prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getFirst().equals(prev.getFirst())) { consecutiveXTies++; if (curr.getSecond().equals(prev.getSecond())) { consecutiveXYTies++; } else { tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } } else { tiedXPairs += sum(consecutiveXTies - 1); consecutiveXTies = 1; tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } prev = curr; } tiedXPairs += sum(consecutiveXTies - 1); tiedXYPairs += sum(consecutiveXYTies - 1); long swaps = 0; @SuppressWarnings("unchecked") Pair[] pairsDestination = new Pair[n]; for (int segmentSize = 1; segmentSize < n; segmentSize <<= 1) { for (int offset = 0; offset < n; offset += 2 * segmentSize) { int i = offset; final int iEnd = FastMath.min(i + segmentSize, n); int j = iEnd; final int jEnd = FastMath.min(j + segmentSize, n); int copyLocation = offset; while (i < iEnd || j < jEnd) { if (i < iEnd) { if (j < jEnd) { if (pairs[i].getSecond().compareTo(pairs[j].getSecond()) <= 0) { pairsDestination[copyLocation] = pairs[i]; i++; } else { pairsDestination[copyLocation] = pairs[j]; j++; swaps += iEnd - i; } } else { pairsDestination[copyLocation] = pairs[i]; i++; } } else { pairsDestination[copyLocation] = pairs[j]; j++; } copyLocation++; } } final Pair[] pairsTemp = pairs; pairs = pairsDestination; pairsDestination = pairsTemp; } long tiedYPairs = 0; long consecutiveYTies = 1; prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getSecond().equals(prev.getSecond())) { consecutiveYTies++; } else { tiedYPairs += sum(consecutiveYTies - 1); consecutiveYTies = 1; } prev = curr; } tiedYPairs += sum(consecutiveYTies - 1); final long concordantMinusDiscordant = numPairs - tiedXPairs - tiedYPairs + tiedXYPairs - 2 * swaps; final double nonTiedPairsMultiplied = (numPairs - tiedXPairs) * (double) (numPairs - tiedYPairs); return concordantMinusDiscordant / FastMath.sqrt(nonTiedPairsMultiplied); }	long method	long method2 feature envy3 inconsistent naming conventions4 unnecessary comments5 lack of proper documentation or comments6 hard-coded values7 unnecessary type casting8 long variable names9 nested loops	t	f	t			0	14085	https://github.com/apache/commons-math/blob/f3719d89ab6a928e8618bbe6a7da8214d9d6eb07/src/main/java/org/apache/commons/math4/stat/correlation/KendallsCorrelation.java/#L154-L261	2	2307	14085
1555	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final EObject entryRuleXMultiplicativeExpression() throws RecognitionException { EObject current = null; EObject iv_ruleXMultiplicativeExpression = null; try { // InternalEntities.g:1696:66: (iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF ) // InternalEntities.g:1697:2: iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXMultiplicativeExpressionRule()); } pushFollow(FOLLOW_1); iv_ruleXMultiplicativeExpression=ruleXMultiplicativeExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current =iv_ruleXMultiplicativeExpression; } match(input,EOF,FOLLOW_2); if (state.failed) return current; } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	Long Method	t	f	t			0	11276	https://github.com/eclipse/xtext-web/blob/ff7aa71dbdf9f1abf4cf3e3911c17707293dfe49/org.eclipse.xtext.web.example.entities/src-gen/org/eclipse/xtext/web/example/entities/parser/antlr/internal/InternalEntitiesParser.java/#L5034-L5068	1	1555	11276
722	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Message chain 4. Duplicated code 5. Primitive obsession 6. Lazy class 7. Shotgun surgery	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	Long method2 Feature envy3 Message chain4 Duplicated code 5 Primitive obsession6 Lazy class7 Shotgun surgery	t	f	t			0	6833	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	2	722	6833
1043	YES I found bad smells the bad smells are: Long method, Repetitive code, Magic numbers, Nested loop/conditionals, Duplicate code, Data clumps, Long parameter list	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void start(Stage stage) { try { // create splitPane pane and JavaFX app scene SplitPane splitPane = new SplitPane(); splitPane.setOrientation(Orientation.VERTICAL); Scene fxScene = new Scene(splitPane); // set title, size, and add JavaFX scene to stage stage.setTitle("Feature Layer Rendering Mode Map Sample"); stage.setWidth(800); stage.setHeight(700); stage.setScene(fxScene); stage.show(); // create a map (top) and set it to render all features in static rendering mode ArcGISMap mapTop = new ArcGISMap(); mapTop.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); mapTop.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.STATIC); // create a map (bottom) and set it to render all features in dynamic rendering mode ArcGISMap mapBottom = new ArcGISMap(); mapBottom.getLoadSettings().setPreferredPointFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolylineFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); mapBottom.getLoadSettings().setPreferredPolygonFeatureRenderingMode(FeatureLayer.RenderingMode.DYNAMIC); // creating top map view mapViewTop = new MapView(); mapViewTop.setMap(mapTop); splitPane.getItems().add(mapViewTop); // creating bottom map view mapViewBottom = new MapView(); mapViewBottom.setMap(mapBottom); splitPane.getItems().add(mapViewBottom); // create service feature table using a point, polyline, and polygon service ServiceFeatureTable pointServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/0"); ServiceFeatureTable polylineServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/8"); ServiceFeatureTable polygonServiceFeatureTable = new ServiceFeatureTable("http://sampleserver6.arcgisonline.com/arcgis/rest/services/Energy/Geology/FeatureServer/9"); // create feature layer from service feature tables FeatureLayer pointFeatureLayer = new FeatureLayer(pointServiceFeatureTable); FeatureLayer polylineFeatureLayer = new FeatureLayer(polylineServiceFeatureTable); FeatureLayer polygonFeatureLayer = new FeatureLayer(polygonServiceFeatureTable); // add each layer to top and bottom map mapTop.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer, polylineFeatureLayer, polygonFeatureLayer)); mapBottom.getOperationalLayers().addAll(Arrays.asList(pointFeatureLayer.copy(), polylineFeatureLayer.copy(), polygonFeatureLayer.copy())); // viewpoint locations for map view to zoom in and out to Viewpoint zoomOutPoint = new Viewpoint(new Point(-118.37, 34.46, SpatialReferences.getWgs84()), 650000, 0); Viewpoint zoomInPoint = new Viewpoint(new Point(-118.45, 34.395, SpatialReferences.getWgs84()), 50000, 90); mapViewTop.setViewpoint(zoomOutPoint); mapViewBottom.setViewpoint(zoomOutPoint); //loop an animation into and out from the zoom in point (5 seconds each) with a 2 second gap between zooming timeline = new Timeline(); timeline.setCycleCount(Animation.INDEFINITE); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(7), event -> zoomTo(zoomInPoint))); timeline.getKeyFrames().add(new KeyFrame(Duration.seconds(14), event -> zoomTo(zoomOutPoint))); timeline.play(); } catch (Exception e) { // on any error, display the stack trace. e.printStackTrace(); } }	long method	Long method, Repetitive code, Magic numbers, Nested loop/conditionals, Duplicate code, Data clumps, Long parameter list	t	f	t	Repetitive code, Magic numbers, Nested loop/conditionals, Duplicate code, Data clumps, Long parameter list		0	9446	https://github.com/Esri/arcgis-runtime-samples-java/blob/c7a0b309586495ff9cc9dbed129e411943547793/src/main/java/com/esri/samples/featurelayers/feature_layer_rendering_mode_map/FeatureLayerRenderingModeMapSample.java/#L45-L114	2	1043	9446
1882	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); // define symbols mPointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.Style.SQUARE, 0xFFFF0000, 20); mLineSymbol = new SimpleLineSymbol(SimpleLineSymbol.Style.SOLID, 0xFFFF8800, 4); mFillSymbol = new SimpleFillSymbol(SimpleFillSymbol.Style.CROSS, 0x40FFA9A9, mLineSymbol); // inflate map view from layout mMapView = findViewById(R.id.mapView); // create a map with the Basemap Type topographic ArcGISMap map = new ArcGISMap(Basemap.Type.LIGHT_GRAY_CANVAS, 34.056295, -117.195800, 16); // set the map to be displayed in this view mMapView.setMap(map); mGraphicsOverlay = new GraphicsOverlay(); mMapView.getGraphicsOverlays().add(mGraphicsOverlay); // create a new sketch editor and add it to the map view mSketchEditor = new SketchEditor(); mMapView.setSketchEditor(mSketchEditor); // get buttons from layouts mPointButton = findViewById(R.id.pointButton); mMultiPointButton = findViewById(R.id.pointsButton); mPolylineButton = findViewById(R.id.polylineButton); mPolygonButton = findViewById(R.id.polygonButton); mFreehandLineButton = findViewById(R.id.freehandLineButton); mFreehandPolygonButton = findViewById(R.id.freehandPolygonButton); // add click listeners mPointButton.setOnClickListener(view -> createModePoint()); mMultiPointButton.setOnClickListener(view -> createModeMultipoint()); mPolylineButton.setOnClickListener(view -> createModePolyline()); mPolygonButton.setOnClickListener(view -> createModePolygon()); mFreehandLineButton.setOnClickListener(view -> createModeFreehandLine()); mFreehandPolygonButton.setOnClickListener(view -> createModeFreehandPolygon()); }	long method	Long method2 Feature envy	t	f	t			0	12288	https://github.com/Esri/arcgis-runtime-samples-android/blob/22b9a4c99c82a75a128b64703c0c1ffb2f9f5293/java/sketch-editor/src/main/java/com/esri/arcgisruntime/sample/sketcheditor/MainActivity.java/#L44-L83	2	1882	12288
379	{"message": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static boolean evaluateImpl(Object o1, Object o2) { // TODO: maybe we need a comparison "strategy" here, instead of // a switch of all possible cases? ... there were other requests for // more relaxed type-unsafe comparison (e.g. numbers to strings) if (o1 == null && o2 == null) { return true; } else if (o1 != null) { // Per CAY-419 we perform 'in' comparison if one object is a list, and other is not if (o2 instanceof Collection) { for (Object element : ((Collection) o2)) { if (element != null && Evaluator.evaluator(element).eq(element, o1)) { return true; } } return false; } return Evaluator.evaluator(o1).eq(o1, o2); } return false; }	long method	1. long method	t	t	f		long method	0	3905	https://github.com/apache/cayenne/blob/5be5235ed1c02589b6300e9729cf3c308c0173e8/cayenne-server/src/main/java/org/apache/cayenne/exp/parser/ASTEqual.java/#L76-L97	1	379	3905
592	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	blob, long method	t	t	t	blob		0	5902	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	1	592	5902
2048	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Use of nested maps and loops, which can make the code difficult to read and maintain 4. Lack of proper naming conventions for variables and methods, making it difficult to understand the purpose of each component 5. Lack of comments and documentation, making it difficult for other developers to understand the code's purpose and functionality. 6. Unnecessary use of try-finally block, which could be replaced with a try-with-resources block in newer versions of Java. 7. Overuse of lambdas and functional programming style, which can make the code difficult to read and maintain for some developers.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	Long method2 Feature envy3 Use of nested maps and loops, which can make the code difficult to read and maintain4 Lack of proper naming conventions for variables and methods, making it difficult to understand the purpose of each component5 Lack of comments and documentation, making it difficult for other developers to understand the code's purpose and functionality6 Unnecessary use of try-finally block, which could be replaced with a try-with-resources block in newer versions of Java7 Overuse of lambdas and functional programming style, which can make the code difficult to read and maintain for some developers	t	f	t	which can make the code difficult to read and maintain4. Lack of proper naming conventions for variables and methods, making it difficult to understand the purpose of each component5. Lack of comments and documentation, making it difficult for other developers to understand the code's purpose and functionality.6. Unnecessary use of try-finally block, which could be replaced with a try-with-resources block in newer versions of Java.7. Overuse of lambdas and functional programming style, which can make the code difficult to read and maintain for some developers.		0	12878	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	2	2048	12878
1745	YES I found bad smells the bad smells are: 1. Long method 2. Magic number (n > 0, index < n-1, index > 0) 3. Feature envy (container.getLength(), container.indexOf()) 4. Duplicated code (similar code blocks for FORWARD and BACKWARD cases) 5. Switch statement without a default case 6. Poor exception handling (throwing IllegalArgumentException instead of specific exceptions, ignoring other possible exceptions) 7. Lack of comments/documentation to explain the purpose of the method and its parameters/return value.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Component getNextComponent(final Container container, final Component component, final FocusTraversalDirection direction) { Utils.checkNull(container, "container"); Utils.checkNull(direction, "direction"); Component nextComponent = null; int n = container.getLength(); if (n > 0) { switch (direction) { case FORWARD: if (component == null) { // Return the first component in the sequence nextComponent = container.get(0); } else { // Return the next component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index < n - 1) { nextComponent = container.get(index + 1); } else { if (wrap) { nextComponent = container.get(0); } } } break; case BACKWARD: if (component == null) { // Return the last component in the sequence nextComponent = container.get(n - 1); } else { // Return the previous component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index > 0) { nextComponent = container.get(index - 1); } else { if (wrap) { nextComponent = container.get(n - 1); } } } break; default: break; } } return nextComponent; }	long method	Long method 2 Magic number (n > 0, index < n-	t	f	t	index < n-		0	11851	https://github.com/apache/pivot/blob/568543f3396648a646341fe077a714eb06d556c0/wtk/src/org/apache/pivot/wtk/skin/ContainerSkin.java/#L57-L118	2	1745	11851
674	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ClearCacheResponse( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { initFields(); int mutable_bitField0_ = 0; com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(); try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; default: { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { done = true; } break; } case 8: { bitField0_ |= 0x00000001; unfreedBytes_ = input.readInt64(); break; } } } } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.setUnfinishedMessage(this); } catch (java.io.IOException e) { throw new com.google.protobuf.InvalidProtocolBufferException( e.getMessage()).setUnfinishedMessage(this); } finally { this.unknownFields = unknownFields.build(); makeExtensionsImmutable(); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	6568	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/main/java/org/apache/phoenix/coprocessor/generated/MetaDataProtos.java/#L13962-L14001	2	674	6568
3940	YES I found bad smells the bad smells are: 1. Long Method 2. Duplicate Code 3. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	Long Method2 Duplicate Code3 Feature Envy	t	f	t			0	10313	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	2	3940	10313
1970	{ "output": "YES I found bad smells", "message": "the bad smells are:", "bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void reloadExpectedTimeAndConfig(SLACalcStatus slaCalc) throws JPAExecutorException { SLARegistrationBean regBean = SLARegistrationQueryExecutor.getInstance().get( SLARegQuery.GET_SLA_EXPECTED_VALUE_CONFIG, slaCalc.getId()); if (regBean.getExpectedDuration() > 0) { slaCalc.getSLARegistrationBean().setExpectedDuration(regBean.getExpectedDuration()); } if (regBean.getExpectedEnd() != null) { slaCalc.getSLARegistrationBean().setExpectedEnd(regBean.getExpectedEnd()); } if (regBean.getExpectedStart() != null) { slaCalc.getSLARegistrationBean().setExpectedStart(regBean.getExpectedStart()); } if (regBean.getSLAConfigMap().containsKey(OozieClient.SLA_DISABLE_ALERT)) { slaCalc.getSLARegistrationBean().addToSLAConfigMap(OozieClient.SLA_DISABLE_ALERT, regBean.getSLAConfigMap().get(OozieClient.SLA_DISABLE_ALERT)); } if (regBean.getNominalTime() != null) { slaCalc.getSLARegistrationBean().setNominalTime(regBean.getNominalTime()); } }	long method	Long Method, Data Class	t	f	t	Data Class		0	12607	https://github.com/apache/oozie/blob/491e73ee9f941dfb25dfe92121fb033295ef42ee/core/src/main/java/org/apache/oozie/sla/SLACalculatorMemory.java/#L540-L560	1	1970	12607
5709	{ "message": "YES I found bad smells", "the bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	long method, feature envy	t	t	t	feature envy		0	12658	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	2	5709	12658
2523	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void bind(PropertyList pList) throws FOPException { super.bind(pList); alignmentAdjust = pList.get(PR_ALIGNMENT_ADJUST).getLength(); alignmentBaseline = pList.get(PR_ALIGNMENT_BASELINE).getEnum(); baselineShift = pList.get(PR_BASELINE_SHIFT).getLength(); dominantBaseline = pList.get(PR_DOMINANT_BASELINE).getEnum(); leaderAlignment = pList.get(PR_LEADER_ALIGNMENT).getEnum(); leaderLength = pList.get(PR_LEADER_LENGTH).getLengthRange(); leaderPattern = pList.get(PR_LEADER_PATTERN).getEnum(); leaderPatternWidth = pList.get(PR_LEADER_PATTERN_WIDTH).getLength(); // use default rule thickness as a default ruleThickness = getPropertyMakerFor(PR_RULE_THICKNESS).make(pList).getLength(); switch(leaderPattern) { case EN_SPACE: // use Space break; case EN_RULE: // the following properties only apply // for leader-pattern = "rule" ruleStyle = pList.get(PR_RULE_STYLE).getEnum(); // use specified rule thickness to override default (established above) ruleThickness = pList.get(PR_RULE_THICKNESS).getLength(); break; case EN_DOTS: break; case EN_USECONTENT: // use inline layout manager to create inline areas // add the inline parent multiple times until leader full break; default: throw new RuntimeException("Invalid leader pattern: " + leaderPattern); } // letterSpacing = pList.get(PR_LETTER_SPACING); // textShadow = pList.get(PR_TEXT_SHADOW); }	long method	long method, data class	t	t	t	data class		0	14713	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fo/flow/Leader.java/#L72-L106	1	2523	14713
2003	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("unchecked") protected Map>[] handleBulkLoad(List sTableList) throws IOException { Map>[] mapForSrc = new Map[sTableList.size()]; List activeFiles = new ArrayList<>(); List archiveFiles = new ArrayList<>(); Pair>>>>, List> pair = backupManager.readBulkloadRows(sTableList); Map>>>> map = pair.getFirst(); FileSystem tgtFs; try { tgtFs = FileSystem.get(new URI(backupInfo.getBackupRootDir()), conf); } catch (URISyntaxException use) { throw new IOException("Unable to get FileSystem", use); } Path rootdir = FSUtils.getRootDir(conf); Path tgtRoot = new Path(new Path(backupInfo.getBackupRootDir()), backupId); for (Map.Entry>>>> tblEntry : map.entrySet()) { TableName srcTable = tblEntry.getKey(); int srcIdx = getIndex(srcTable, sTableList); if (srcIdx < 0) { LOG.warn("Couldn't find " + srcTable + " in source table List"); continue; } if (mapForSrc[srcIdx] == null) { mapForSrc[srcIdx] = new TreeMap<>(Bytes.BYTES_COMPARATOR); } Path tblDir = FSUtils.getTableDir(rootdir, srcTable); Path tgtTable = new Path(new Path(tgtRoot, srcTable.getNamespaceAsString()), srcTable.getQualifierAsString()); for (Map.Entry>>> regionEntry : tblEntry.getValue().entrySet()){ String regionName = regionEntry.getKey(); Path regionDir = new Path(tblDir, regionName); // map from family to List of hfiles for (Map.Entry>> famEntry : regionEntry.getValue().entrySet()) { String fam = famEntry.getKey(); Path famDir = new Path(regionDir, fam); List files; if (!mapForSrc[srcIdx].containsKey(Bytes.toBytes(fam))) { files = new ArrayList<>(); mapForSrc[srcIdx].put(Bytes.toBytes(fam), files); } else { files = mapForSrc[srcIdx].get(Bytes.toBytes(fam)); } Path archiveDir = HFileArchiveUtil.getStoreArchivePath(conf, srcTable, regionName, fam); String tblName = srcTable.getQualifierAsString(); Path tgtFam = new Path(new Path(tgtTable, regionName), fam); if (!tgtFs.mkdirs(tgtFam)) { throw new IOException("couldn't create " + tgtFam); } for (Pair fileWithState : famEntry.getValue()) { String file = fileWithState.getFirst(); int idx = file.lastIndexOf("/"); String filename = file; if (idx > 0) { filename = file.substring(idx+1); } Path p = new Path(famDir, filename); Path tgt = new Path(tgtFam, filename); Path archive = new Path(archiveDir, filename); if (fs.exists(p)) { if (LOG.isTraceEnabled()) { LOG.trace("found bulk hfile " + file + " in " + famDir + " for " + tblName); } if (LOG.isTraceEnabled()) { LOG.trace("copying " + p + " to " + tgt); } activeFiles.add(p.toString()); } else if (fs.exists(archive)){ LOG.debug("copying archive " + archive + " to " + tgt); archiveFiles.add(archive.toString()); } files.add(tgt); } } } } copyBulkLoadedFiles(activeFiles, archiveFiles); backupManager.deleteBulkLoadedRows(pair.getSecond()); return mapForSrc; }	long method	long method, feature envy	t	t	t	feature envy		0	12716	https://github.com/apache/hbase/blob/44f8abd5c65c59e9d09f6ad14b3c825f145d8e4f/hbase-backup/src/main/java/org/apache/hadoop/hbase/backup/impl/IncrementalTableBackupClient.java/#L115-L201	1	2003	12716
1985	{"message": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void doDefensiveChecks(DistribPhase phase) { boolean isReplayOrPeersync = (updateCommand.getFlags() & (UpdateCommand.REPLAY | UpdateCommand.PEER_SYNC)) != 0; if (isReplayOrPeersync) return; String from = req.getParams().get(DISTRIB_FROM); ClusterState clusterState = zkController.getClusterState(); DocCollection docCollection = clusterState.getCollection(collection); Slice mySlice = docCollection.getSlice(cloudDesc.getShardId()); boolean localIsLeader = cloudDesc.isLeader(); if (DistribPhase.FROMLEADER == phase && localIsLeader && from != null) { // from will be null on log replay String fromShard = req.getParams().get(DISTRIB_FROM_PARENT); if (fromShard != null) { if (mySlice.getState() == Slice.State.ACTIVE) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but we are in active state"); } // shard splitting case -- check ranges to see if we are a sub-shard Slice fromSlice = docCollection.getSlice(fromShard); DocRouter.Range parentRange = fromSlice.getRange(); if (parentRange == null) parentRange = new DocRouter.Range(Integer.MIN_VALUE, Integer.MAX_VALUE); if (mySlice.getRange() != null && !mySlice.getRange().isSubsetOf(parentRange)) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but parent hash range is not superset of my range"); } } else { String fromCollection = req.getParams().get(DISTRIB_FROM_COLLECTION); // is it because of a routing rule? if (fromCollection == null) { log.error("Request says it is coming from leader, but we are the leader: " + req.getParamString()); SolrException solrExc = new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from leader, but we are the leader"); solrExc.setMetadata("cause", "LeaderChanged"); throw solrExc; } } } int count = 0; while (((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) && count < 5) { count++; // re-getting localIsLeader since we published to ZK first before setting localIsLeader value localIsLeader = cloudDesc.isLeader(); try { Thread.sleep(500); } catch (InterruptedException e) { Thread.currentThread().interrupt(); } } if ((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) { log.error("ClusterState says we are the leader, but locally we don't think so"); throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "ClusterState says we are the leader (" + zkController.getBaseUrl() + "/" + req.getCore().getName() + "), but locally we don't think so. Request came from " + from); } }	long method	1. long method	t	t	t			0	12651	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/update/processor/DistributedZkUpdateProcessor.java/#L953-L1007	1	1985	12651
1008	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	long method	t	t	t			0	9268	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	1	1008	9268
2666	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static int reconfigureNetworking() { // This uses values from the property settings if (Sage.getBoolean(NET_CONFIG_WIRED, true)) { // Bring down the wireless interface if it's there bringDownWireless(); setupNetworking(Sage.get("linux/wired_network_port", "eth0")); } else { // Bring down the wired interface if it's there if (Sage.getBoolean("linux/disable_wired_when_wireless_is_enabled", false)) bringDownWired(); // Be sure the wired interface is loaded (it may need to be before it is configured) IOUtils.exec2("ifconfig " + Sage.get("linux/wireless_network_port", "eth1") + " up"); // Setup the wireless networking properties before we try to connect to the network or it won't work IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " essid " + Sage.get(NET_CONFIG_SSID, "any")); String crypto = Sage.get(NET_CONFIG_ENCRYPTION, "WPA"); if ("None".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key off"); } else { // Check if the key is all hex String key = Sage.get(NET_CONFIG_ENCRYPTION_KEY, ""); boolean hexKey = true; for (int i = 0; i < key.length(); i++) { if (Character.digit(key.charAt(i), 16) < 0) { hexKey = false; break; } } if ("WEP".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key on"); if (hexKey) IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key " + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); else IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key s:" + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); } else // WPA { // NOT FINISHED YET, we'll need to setup a configuration file for wpa_supplicant and then run it } } setupNetworking(Sage.get("linux/wireless_network_port", "eth1")); } return 0; }	long method	long method	t	t	t			0	15203	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/LinuxUtils.java/#L51-L108	1	2666	15203
1847	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean configureHA(final Long resourceId, final HAResource.ResourceType resourceType, final Boolean enable, final String haProvider) { return Transaction.execute(new TransactionCallback() { @Override public Boolean doInTransaction(TransactionStatus status) { HAConfigVO haConfig = (HAConfigVO) haConfigDao.findHAResource(resourceId, resourceType); if (haConfig == null) { haConfig = new HAConfigVO(); if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (enable != null) { haConfig.setEnabled(enable); haConfig.setManagementServerId(ManagementServerNode.getManagementServerId()); } haConfig.setResourceId(resourceId); haConfig.setResourceType(resourceType); if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } if (haConfigDao.persist(haConfig) != null) { return true; } } else { if (enable != null) { haConfig.setEnabled(enable); } if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } return haConfigDao.update(haConfig.getId(), haConfig); } return false; } }); }	long method	Long method2 Feature envy	t	f	t			0	12172	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/org/apache/cloudstack/ha/HAManagerImpl.java/#L337-L374	2	1847	12172
5649	{"response": "YES I found bad smells\nthe bad smells are:\n1. Long method\n2. Feature envy"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public java.util.concurrent.Future generateAutonomousDatabaseWallet( final GenerateAutonomousDatabaseWalletRequest request, final com.oracle.bmc.responses.AsyncHandler< GenerateAutonomousDatabaseWalletRequest, GenerateAutonomousDatabaseWalletResponse> handler) { LOG.trace("Called async generateAutonomousDatabaseWallet"); final GenerateAutonomousDatabaseWalletRequest interceptedRequest = GenerateAutonomousDatabaseWalletConverter.interceptRequest(request); final com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = GenerateAutonomousDatabaseWalletConverter.fromRequest(client, interceptedRequest); final com.google.common.base.Function< javax.ws.rs.core.Response, GenerateAutonomousDatabaseWalletResponse> transformer = GenerateAutonomousDatabaseWalletConverter.fromResponse(); com.oracle.bmc.responses.AsyncHandler< GenerateAutonomousDatabaseWalletRequest, GenerateAutonomousDatabaseWalletResponse> handlerToUse = handler; if (handler != null && this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { handlerToUse = new com.oracle.bmc.util.internal.RefreshAuthTokenWrappingAsyncHandler< GenerateAutonomousDatabaseWalletRequest, GenerateAutonomousDatabaseWalletResponse>( (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, handler) { @Override public void retryCall() { final com.oracle.bmc.util.internal.Consumer onSuccess = new com.oracle.bmc.http.internal.SuccessConsumer<>( this, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = new com.oracle.bmc.http.internal.ErrorConsumer<>( this, interceptedRequest); client.post( ib, interceptedRequest.getGenerateAutonomousDatabaseWalletDetails(), interceptedRequest, onSuccess, onError); } }; } final com.oracle.bmc.util.internal.Consumer onSuccess = (handler == null) ? null : new com.oracle.bmc.http.internal.SuccessConsumer<>( handlerToUse, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = (handler == null) ? null : new com.oracle.bmc.http.internal.ErrorConsumer<>( handlerToUse, interceptedRequest); java.util.concurrent.Future responseFuture = client.post( ib, interceptedRequest.getGenerateAutonomousDatabaseWalletDetails(), interceptedRequest, onSuccess, onError); if (this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { return new com.oracle.bmc.util.internal.RefreshAuthTokenTransformingFuture< javax.ws.rs.core.Response, GenerateAutonomousDatabaseWalletResponse>( responseFuture, transformer, (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, new com.google.common.base.Supplier< java.util.concurrent.Future>() { @Override public java.util.concurrent.Future get() { return client.post( ib, interceptedRequest.getGenerateAutonomousDatabaseWalletDetails(), interceptedRequest, onSuccess, onError); } }); } else { return new com.oracle.bmc.util.internal.TransformingFuture<>( responseFuture, transformer); } }	long method	\n1. long method\n2. feature envy	t	t	f		long method	0	11206	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-database/src/main/java/com/oracle/bmc/database/DatabaseAsyncClient.java/#L1700-L1793	2	5649	11206
1860	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Sampler deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException { JsonNode node = jp.getCodec().readTree(jp); String type = node.get("type").asText(); switch (type) { case "uniform": { double lowerBound = node.get("lower").asDouble(); double upperBound = node.get("upper").asDouble(); checkArgument( lowerBound >= 0, "The lower bound of uniform distribution should be a non-negative number, " + "but found %s.", lowerBound); return fromRealDistribution(new UniformRealDistribution(lowerBound, upperBound)); } case "exp": { double mean = node.get("mean").asDouble(); return fromRealDistribution(new ExponentialDistribution(mean)); } case "normal": { double mean = node.get("mean").asDouble(); double stddev = node.get("stddev").asDouble(); checkArgument( mean >= 0, "The mean of normal distribution should be a non-negative number, but found %s.", mean); return fromRealDistribution(new NormalDistribution(mean, stddev)); } case "const": { double constant = node.get("const").asDouble(); checkArgument( constant >= 0, "The value of constant distribution should be a non-negative number, but found %s.", constant); return fromRealDistribution(new ConstantRealDistribution(constant)); } case "zipf": { double param = node.get("param").asDouble(); final double multiplier = node.has("multiplier") ? node.get("multiplier").asDouble() : 1.0; checkArgument( param > 1, "The parameter of the Zipf distribution should be > 1, but found %s.", param); checkArgument( multiplier >= 0, "The multiplier of the Zipf distribution should be >= 0, but found %s.", multiplier); final ZipfDistribution dist = new ZipfDistribution(100, param); return scaledSampler(fromIntegerDistribution(dist), multiplier); } default: { throw new IllegalArgumentException("Unknown distribution type: " + type); } } }	long method	Long method2 Duplicate code3 Feature envy	t	f	t			0	12221	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic/SyntheticOptions.java/#L228-L289	2	1860	12221
502	YES I found bad smells the bad smells are: 1. Long method 2. Switch statement 3. Duplicated code 4. Feature envy - code should be moved to the appropriate class instead of being implemented in the deserialize method. 5. Use of hardcoded values instead of constants or variables 6. Multiple return statements - can be simplified to one return statement outside of the switch statement 7. Code repetition, specifically in the switch cases for creating the different distributions and performing validation checks. 8. Lack of proper error handling - the IllegalArgumentException is not specific and does not provide enough information for troubleshooting.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Sampler deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException { JsonNode node = jp.getCodec().readTree(jp); String type = node.get("type").asText(); switch (type) { case "uniform": { double lowerBound = node.get("lower").asDouble(); double upperBound = node.get("upper").asDouble(); checkArgument( lowerBound >= 0, "The lower bound of uniform distribution should be a non-negative number, " + "but found %s.", lowerBound); return fromRealDistribution(new UniformRealDistribution(lowerBound, upperBound)); } case "exp": { double mean = node.get("mean").asDouble(); return fromRealDistribution(new ExponentialDistribution(mean)); } case "normal": { double mean = node.get("mean").asDouble(); double stddev = node.get("stddev").asDouble(); checkArgument( mean >= 0, "The mean of normal distribution should be a non-negative number, but found %s.", mean); return fromRealDistribution(new NormalDistribution(mean, stddev)); } case "const": { double constant = node.get("const").asDouble(); checkArgument( constant >= 0, "The value of constant distribution should be a non-negative number, but found %s.", constant); return fromRealDistribution(new ConstantRealDistribution(constant)); } case "zipf": { double param = node.get("param").asDouble(); final double multiplier = node.has("multiplier") ? node.get("multiplier").asDouble() : 1.0; checkArgument( param > 1, "The parameter of the Zipf distribution should be > 1, but found %s.", param); checkArgument( multiplier >= 0, "The multiplier of the Zipf distribution should be >= 0, but found %s.", multiplier); final ZipfDistribution dist = new ZipfDistribution(100, param); return scaledSampler(fromIntegerDistribution(dist), multiplier); } default: { throw new IllegalArgumentException("Unknown distribution type: " + type); } } }	long method	Long method2 Switch statement3 Duplicated code4 Feature envy - code should be moved to the appropriate class instead of being implemented in the deserialize method 5 Use of hardcoded values instead of constants or variables6 Multiple return statements - can be simplified to one return statement outside of the switch statement7 Code repetition, specifically in the switch cases for creating the different distributions and performing validation checks 8 Lack of proper error handling - the IllegalArgumentException is not specific and does not provide enough information for troubleshooting	t	f	t	specifically in the switch cases for creating the different distributions and performing validation checks. 8. Lack of proper error handling - the IllegalArgumentException is not specific and does not provide enough information for troubleshooting.		0	5087	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic/SyntheticOptions.java/#L228-L289	2	502	5087
1132	YES I found bad smells. the bad smells are: 1. Long method, 2. Repetitive code, 3. Feature envy, 4. Poor variable naming, 5. Poor use of static methods.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static ConcurrentCompositeConfiguration createLocalConfig() { MicroserviceConfigLoader loader = new MicroserviceConfigLoader(); loader.loadAndSort(); if (localConfig.size() > 0) { ConfigModel model = new ConfigModel(); model.setConfig(localConfig); loader.getConfigModels().add(model); } LOGGER.info("create local config:"); for (ConfigModel configModel : loader.getConfigModels()) { LOGGER.info(" {}.", configModel.getUrl()); } ConcurrentCompositeConfiguration config = ConfigUtil.createLocalConfig(loader.getConfigModels()); ConfigUtil.setMicroserviceConfigLoader(config, loader); return config; }	long method	Long method, 2 Repetitive code, 3 Feature envy, 4 Poor variable naming, 5 Poor use of static methods	t	f	t	2. Repetitive code, 3. Feature envy, 4. Poor variable naming, 5. Poor use of static methods.		0	10040	https://github.com/apache/servicecomb-java-chassis/blob/72cd0e137c4a0c3b899adfa6e19e2fd590743014/foundations/foundation-config/src/main/java/org/apache/servicecomb/config/ConfigUtil.java/#L105-L122	2	1132	10040
347	{"message": "YES, I found bad smells", "bad smells are": ["Blob", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static byte[] encodeBase64(byte[] binaryData, boolean isChunked) { int lengthDataBits = binaryData.length * EIGHTBIT; int fewerThan24bits = lengthDataBits % TWENTYFOURBITGROUP; int numberTriplets = lengthDataBits / TWENTYFOURBITGROUP; byte encodedData[] = null; int encodedDataLength = 0; int nbrChunks = 0; if (fewerThan24bits != 0) { //data not divisible by 24 bit encodedDataLength = (numberTriplets + 1) * 4; } else { // 16 or 8 bit encodedDataLength = numberTriplets * 4; } // If the output is to be "chunked" into 76 character sections, // for compliance with RFC 2045 MIME, then it is important to // allow for extra length to account for the separator(s) if (isChunked) { nbrChunks = (CHUNK_SEPARATOR.length == 0 ? 0 : (int)Math.ceil((float)encodedDataLength / CHUNK_SIZE)); encodedDataLength += nbrChunks * CHUNK_SEPARATOR.length; } encodedData = new byte[encodedDataLength]; byte k = 0, l = 0, b1 = 0, b2 = 0, b3 = 0; int encodedIndex = 0; int dataIndex = 0; int i = 0; int nextSeparatorIndex = CHUNK_SIZE; int chunksSoFar = 0; //log.debug("number of triplets = " + numberTriplets); for (i = 0; i < numberTriplets; i++) { dataIndex = i * 3; b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; b3 = binaryData[dataIndex + 2]; //log.debug("b1= " + b1 +", b2= " + b2 + ", b3= " + b3); l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); byte val3 = ((b3 & SIGN) == 0) ? (byte)(b3 >> 6) : (byte)((b3) >> 6 ^ 0xfc); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; //log.debug( "val2 = " + val2 ); //log.debug( "k4 = " + (k<<4) ); //log.debug( "vak = " + (val2 | (k<<4)) ); encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[(l << 2) | val3]; encodedData[encodedIndex + 3] = lookUpBase64Alphabet[b3 & 0x3f]; encodedIndex += 4; // If we are chunking, let's put a chunk separator down. if (isChunked) { // this assumes that CHUNK_SIZE % 4 == 0 if (encodedIndex == nextSeparatorIndex) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedIndex, CHUNK_SEPARATOR.length); chunksSoFar++; nextSeparatorIndex = (CHUNK_SIZE * (chunksSoFar + 1)) + (chunksSoFar * CHUNK_SEPARATOR.length); encodedIndex += CHUNK_SEPARATOR.length; } } } // form integral number of 6-bit groups dataIndex = i * 3; if (fewerThan24bits == EIGHTBIT) { b1 = binaryData[dataIndex]; k = (byte)(b1 & 0x03); //log.debug("b1=" + b1); //log.debug("b1<<2 = " + (b1>>2) ); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[k << 4]; encodedData[encodedIndex + 2] = PAD; encodedData[encodedIndex + 3] = PAD; } else if (fewerThan24bits == SIXTEENBIT) { b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[l << 2]; encodedData[encodedIndex + 3] = PAD; } if (isChunked) { // we also add a separator to the end of the final chunk. if (chunksSoFar < nbrChunks) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedDataLength - CHUNK_SEPARATOR.length, CHUNK_SEPARATOR.length); } } return encodedData; }	long method	blob, long method	t	t	f	blob	long method	0	3549	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/mosgi/jmx.agent/src/main/java/org/apache/felix/mosgi/jmx/agent/mx4j/util/Base64Codec.java/#L218-L377	1	347	3549
1635	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void handleRemainder() { final int remainingRecordCount = incoming.getRecordCount() - remainderIndex; assert this.memoryManager.incomingBatch == incoming; final int recordsToProcess = Math.min(remainingRecordCount, memoryManager.getOutputRowCount()); if (!doAlloc(recordsToProcess)) { outOfMemory = true; return; } logger.trace("handleRemainder: remaining RC {}, toProcess {}, remainder index {}, incoming {}, Project {}", remainingRecordCount, recordsToProcess, remainderIndex, incoming, this); long projectStartTime = System.currentTimeMillis(); final int projRecords = projector.projectRecords(this.incoming, remainderIndex, recordsToProcess, 0); long projectEndTime = System.currentTimeMillis(); logger.trace("handleRemainder: projection: records {}, time {} ms", projRecords,(projectEndTime - projectStartTime)); if (projRecords < remainingRecordCount) { setValueCount(projRecords); this.recordCount = projRecords; remainderIndex += projRecords; } else { setValueCount(remainingRecordCount); hasRemainder = false; remainderIndex = 0; for (final VectorWrapper v : incoming) { v.clear(); } this.recordCount = remainingRecordCount; } // In case of complex writer expression, vectors would be added to batch run-time. // We have to re-build the schema. if (complexWriters != null) { container.buildSchema(SelectionVectorMode.NONE); } memoryManager.updateOutgoingStats(projRecords); RecordBatchStats.logRecordBatchStats(RecordBatchIOType.OUTPUT, this, getRecordBatchStatsContext()); }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11522	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/project/ProjectRecordBatch.java/#L259-L299	1	1635	11522
448	{"message": "YES, I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void walker(List> finalResult, final List> input, List listSoFar, final int level) throws SemanticException { // Base case. if (level == (input.size() - 1)) { assert (input.get(level) != null) : "Unique skewed element list has null list in " + level + "th position."; for (String v : input.get(level)) { List oneCompleteIndex = new ArrayList(listSoFar); oneCompleteIndex.add(v); finalResult.add(oneCompleteIndex); } return; } // Recursive. for (String v : input.get(level)) { List clonedListSoFar = new ArrayList(listSoFar); clonedListSoFar.add(v); int nextLevel = level + 1; walker(finalResult, input, clonedListSoFar, nextLevel); } }	long method	long method	t	t	t			0	4366	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/listbucketingpruner/ListBucketingPruner.java/#L612-L633	1	448	4366
4044	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final EObject ruleXOtherOperatorExpression() throws RecognitionException { EObject current = null; EObject this_XAdditiveExpression_0 = null; EObject lv_rightOperand_3_0 = null; enterRule(); try { // InternalXbase.g:873:2: ( (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) ) // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) { // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) // InternalXbase.g:875:3: this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getXAdditiveExpressionParserRuleCall_0()); } pushFollow(FOLLOW_14); this_XAdditiveExpression_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current = this_XAdditiveExpression_0; afterParserOrEnumRuleCall(); } // InternalXbase.g:883:3: ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* loop11: do { int alt11=2; alt11 = dfa11.predict(input); switch (alt11) { case 1 : // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) { // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) // InternalXbase.g:885:5: ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) { // InternalXbase.g:895:5: ( () ( ( ruleOpOther ) ) ) // InternalXbase.g:896:6: () ( ( ruleOpOther ) ) { // InternalXbase.g:896:6: () // InternalXbase.g:897:7: { if ( state.backtracking==0 ) { current = forceCreateModelElementAndSet( grammarAccess.getXOtherOperatorExpressionAccess().getXBinaryOperationLeftOperandAction_1_0_0_0(), current); } } // InternalXbase.g:903:6: ( ( ruleOpOther ) ) // InternalXbase.g:904:7: ( ruleOpOther ) { // InternalXbase.g:904:7: ( ruleOpOther ) // InternalXbase.g:905:8: ruleOpOther { if ( state.backtracking==0 ) { if (current==null) { current = createModelElement(grammarAccess.getXOtherOperatorExpressionRule()); } } if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getFeatureJvmIdentifiableElementCrossReference_1_0_0_1_0()); } pushFollow(FOLLOW_4); ruleOpOther(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { afterParserOrEnumRuleCall(); } } } } } // InternalXbase.g:921:4: ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) { // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) // InternalXbase.g:923:6: lv_rightOperand_3_0= ruleXAdditiveExpression { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getRightOperandXAdditiveExpressionParserRuleCall_1_1_0()); } pushFollow(FOLLOW_14); lv_rightOperand_3_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { if (current==null) { current = createModelElementForParent(grammarAccess.getXOtherOperatorExpressionRule()); } set( current, "rightOperand", lv_rightOperand_3_0, "org.eclipse.xtext.xbase.Xbase.XAdditiveExpression"); afterParserOrEnumRuleCall(); } } } } break; default : break loop11; } } while (true); } } if ( state.backtracking==0 ) { leaveRule(); } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	long method, data class	t	t	t	data class		0	10690	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/parser/antlr/internal/InternalXbaseParser.java/#L2675-L2841	1	4044	10690
5713	Yes, I found bad smells. The bad smells are: 1. Long method, 2.Feature Envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("try") private void doRun(Map entryPoints, Method mainEntryPoint, JavaMainSupport javaMainSupport, String imageName, AbstractBootImage.NativeImageKind k, SubstitutionProcessor harnessSubstitutions, ForkJoinPool compilationExecutor, ForkJoinPool analysisExecutor) { List hostedEntryPoints = new ArrayList<>(); OptionValues options = HostedOptionValues.singleton(); SnippetReflectionProvider originalSnippetReflection = GraalAccess.getOriginalSnippetReflection(); try (DebugContext debug = DebugContext.create(options, new GraalDebugHandlersFactory(originalSnippetReflection))) { setupNativeImage(imageName, options, entryPoints, javaMainSupport, harnessSubstitutions, analysisExecutor, originalSnippetReflection, debug); boolean returnAfterAnalysis = runPointsToAnalysis(imageName, options, debug); if (returnAfterAnalysis) { return; } NativeImageHeap heap; HostedMethod mainEntryPointHostedStub; HostedMetaAccess hMetaAccess; SharedRuntimeConfigurationBuilder runtime; try (StopTimer t = new Timer(imageName, "universe").start()) { hUniverse = new HostedUniverse(bigbang); hMetaAccess = new HostedMetaAccess(hUniverse, bigbang.getMetaAccess()); new UniverseBuilder(aUniverse, bigbang.getMetaAccess(), hUniverse, hMetaAccess, HostedConfiguration.instance().createStaticAnalysisResultsBuilder(bigbang, hUniverse), bigbang.getUnsupportedFeatures()).build(debug); runtime = new HostedRuntimeConfigurationBuilder(options, bigbang.getHostVM(), hUniverse, hMetaAccess, bigbang.getProviders()).build(); registerGraphBuilderPlugins(featureHandler, runtime.getRuntimeConfig(), (HostedProviders) runtime.getRuntimeConfig().getProviders(), bigbang.getMetaAccess(), aUniverse, hMetaAccess, hUniverse, nativeLibraries, loader, false, true, bigbang.getAnnotationSubstitutionProcessor(), new SubstrateClassInitializationPlugin((SVMHost) aUniverse.hostVM()), bigbang.getHostVM().getClassInitializationSupport()); if (NativeImageOptions.PrintUniverse.getValue()) { printTypes(); } /* Find the entry point methods in the hosted world. */ for (AnalysisMethod m : aUniverse.getMethods()) { if (m.isEntryPoint()) { HostedMethod found = hUniverse.lookup(m); assert found != null; hostedEntryPoints.add(found); } } /* Find main entry point */ if (mainEntryPoint != null) { AnalysisMethod analysisStub = CEntryPointCallStubSupport.singleton().getStubForMethod(mainEntryPoint); mainEntryPointHostedStub = (HostedMethod) hMetaAccess.getUniverse().lookup(analysisStub); assert hostedEntryPoints.contains(mainEntryPointHostedStub); } else { mainEntryPointHostedStub = null; } if (hostedEntryPoints.size() == 0) { throw UserError.abort("Warning: no entry points found, i.e., no method annotated with @" + CEntryPoint.class.getSimpleName()); } heap = new NativeImageHeap(aUniverse, hUniverse, hMetaAccess); BeforeCompilationAccessImpl config = new BeforeCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.beforeCompilation(config)); bigbang.getUnsupportedFeatures().report(bigbang); } catch (UnsupportedFeatureException ufe) { throw UserError.abort(ufe.getMessage()); } recordMethodsWithStackValues(); recordRestrictHeapAccessCallees(aUniverse.getMethods()); /* * After this point, all TypeFlow (and therefore also TypeState) objects are unreachable * and can be garbage collected. This is important to keep the overall memory footprint * low. However, this also means we no longer have complete call chain information. Only * the summarized information stored in the StaticAnalysisResult objects is available * after this point. */ bigbang.cleanupAfterAnalysis(); NativeImageCodeCache codeCache; CompileQueue compileQueue; try (StopTimer t = new Timer(imageName, "compile").start()) { compileQueue = HostedConfiguration.instance().createCompileQueue(debug, featureHandler, hUniverse, runtime, DeoptTester.enabled(), bigbang.getProviders().getSnippetReflection(), compilationExecutor); compileQueue.finish(debug); /* release memory taken by graphs for the image writing */ hUniverse.getMethods().forEach(HostedMethod::clear); codeCache = NativeImageCodeCacheFactory.get().newCodeCache(compileQueue, heap); codeCache.layoutConstants(); codeCache.layoutMethods(debug, imageName); AfterCompilationAccessImpl config = new AfterCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.afterCompilation(config)); } try (Indent indent = debug.logAndIndent("create native image")) { try (DebugContext.Scope buildScope = debug.scope("CreateBootImage")) { try (StopTimer t = new Timer(imageName, "image").start()) { // Start building the model of the native image heap. heap.addInitialObjects(); // Then build the model of the code cache, which can // add objects to the native image heap. codeCache.addConstantsToHeap(); // Finish building the model of the native image heap. heap.addTrailingObjects(); AfterHeapLayoutAccessImpl config = new AfterHeapLayoutAccessImpl(featureHandler, loader, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.afterHeapLayout(config)); this.image = AbstractBootImage.create(k, hUniverse, hMetaAccess, nativeLibraries, heap, codeCache, hostedEntryPoints, mainEntryPointHostedStub, loader.getClassLoader()); image.build(debug); if (NativeImageOptions.PrintUniverse.getValue()) { /* * This debug output must be printed _after_ and not _during_ image * building, because it adds some PrintStream objects to static fields, * which disrupts the heap. */ codeCache.printCompilationResults(); } } } } BeforeImageWriteAccessImpl beforeConfig = new BeforeImageWriteAccessImpl(featureHandler, loader, imageName, image, runtime.getRuntimeConfig(), aUniverse, hUniverse, optionProvider, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.beforeImageWrite(beforeConfig)); try (StopTimer t = new Timer(imageName, "write").start()) { /* * This will write the debug info too -- i.e. we may be writing more than one file, * if the debug info is in a separate file. We need to push writing the file to the * image implementation, because whether the debug info and image share a file or * not is an implementation detail of the image. */ Path tmpDir = tempDirectory(); Path imagePath = image.write(debug, generatedFiles(HostedOptionValues.singleton()), tmpDir, imageName, beforeConfig).getOutputFile(); AfterImageWriteAccessImpl afterConfig = new AfterImageWriteAccessImpl(featureHandler, loader, hUniverse, imagePath, tmpDir, image.getBootImageKind(), debug); featureHandler.forEachFeature(feature -> feature.afterImageWrite(afterConfig)); } } }	long method	Long method, 2Feature Envy	t	f	t	2.Feature Envy		0	12782	https://github.com/oracle/graal/blob/4deb681aaaa79c248115037fc8e399c9876619fd/substratevm/src/com.oracle.svm.hosted/src/com/oracle/svm/hosted/NativeImageGenerator.java/#L487-L632	1	5713	12782
757	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	7057	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	2	757	7057
1572	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void execute() throws ResourceUnavailableException, InsufficientCapacityException, ServerApiException, ConcurrentOperationException, ResourceAllocationException, NetworkRuleConflictException { Map dm = new HashMap(); dm.put(ApiConstants.S3_ACCESS_KEY, getAccessKey()); dm.put(ApiConstants.S3_SECRET_KEY, getSecretKey()); dm.put(ApiConstants.S3_END_POINT, getEndPoint()); dm.put(ApiConstants.S3_BUCKET_NAME, getBucketName()); if (getSigner() != null && (getSigner().equals(ApiConstants.S3_V3_SIGNER) || getSigner().equals(ApiConstants.S3_V4_SIGNER))) { dm.put(ApiConstants.S3_SIGNER, getSigner()); } if (isHttps() != null) { dm.put(ApiConstants.S3_HTTPS_FLAG, isHttps().toString()); } if (getConnectionTimeout() != null) { dm.put(ApiConstants.S3_CONNECTION_TIMEOUT, getConnectionTimeout().toString()); } if (getMaxErrorRetry() != null) { dm.put(ApiConstants.S3_MAX_ERROR_RETRY, getMaxErrorRetry().toString()); } if (getSocketTimeout() != null) { dm.put(ApiConstants.S3_SOCKET_TIMEOUT, getSocketTimeout().toString()); } if (getConnectionTtl() != null) { dm.put(ApiConstants.S3_CONNECTION_TTL, getConnectionTtl().toString()); } if (getUseTCPKeepAlive() != null) { dm.put(ApiConstants.S3_USE_TCP_KEEPALIVE, getUseTCPKeepAlive().toString()); } try{ ImageStore result = _storageService.discoverImageStore(null, null, "S3", null, dm); ImageStoreResponse storeResponse; if (result != null) { storeResponse = _responseGenerator.createImageStoreResponse(result); storeResponse.setResponseName(getCommandName()); storeResponse.setObjectName("imagestore"); setResponseObject(storeResponse); } else { throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, "Failed to add S3 Image Store."); } } catch (DiscoveryException ex) { s_logger.warn("Exception: ", ex); throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, ex.getMessage()); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11341	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/api/src/main/java/org/apache/cloudstack/api/command/admin/storage/AddImageStoreS3CMD.java/#L99-L147	2	1572	11341
2217	{"message": "YES I found bad smells", "the bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Sampler deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException { JsonNode node = jp.getCodec().readTree(jp); String type = node.get("type").asText(); switch (type) { case "uniform": { double lowerBound = node.get("lower").asDouble(); double upperBound = node.get("upper").asDouble(); checkArgument( lowerBound >= 0, "The lower bound of uniform distribution should be a non-negative number, " + "but found %s.", lowerBound); return fromRealDistribution(new UniformRealDistribution(lowerBound, upperBound)); } case "exp": { double mean = node.get("mean").asDouble(); return fromRealDistribution(new ExponentialDistribution(mean)); } case "normal": { double mean = node.get("mean").asDouble(); double stddev = node.get("stddev").asDouble(); checkArgument( mean >= 0, "The mean of normal distribution should be a non-negative number, but found %s.", mean); return fromRealDistribution(new NormalDistribution(mean, stddev)); } case "const": { double constant = node.get("const").asDouble(); checkArgument( constant >= 0, "The value of constant distribution should be a non-negative number, but found %s.", constant); return fromRealDistribution(new ConstantRealDistribution(constant)); } case "zipf": { double param = node.get("param").asDouble(); final double multiplier = node.has("multiplier") ? node.get("multiplier").asDouble() : 1.0; checkArgument( param > 1, "The parameter of the Zipf distribution should be > 1, but found %s.", param); checkArgument( multiplier >= 0, "The multiplier of the Zipf distribution should be >= 0, but found %s.", multiplier); final ZipfDistribution dist = new ZipfDistribution(100, param); return scaledSampler(fromIntegerDistribution(dist), multiplier); } default: { throw new IllegalArgumentException("Unknown distribution type: " + type); } } }	long method	long method, data class	t	t	t	data class		0	13539	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic/SyntheticOptions.java/#L228-L289	1	2217	13539
1152	{ "message": "YES I found bad smells. The bad smells are: 1. Long Method, 2. Data Class" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected VectorizedRowBatch setupOverflowBatch() throws HiveException { int initialColumnCount = vContext.firstOutputColumnIndex(); VectorizedRowBatch overflowBatch; int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; overflowBatch = new VectorizedRowBatch(totalNumColumns); // First, just allocate just the output columns we will be using. for (int i = 0; i < outputProjectionColumnMap.length; i++) { int outputColumn = outputProjectionColumnMap[i]; String typeName = outputTypeInfos[i].getTypeName(); allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); } // Now, add any scratch columns needed for children operators. int outputColumn = initialColumnCount; for (String typeName : vOutContext.getScratchColumnTypeNames()) { allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); } overflowBatch.projectedColumns = outputProjectionColumnMap; overflowBatch.projectionSize = outputProjectionColumnMap.length; overflowBatch.reset(); return overflowBatch; }	long method	1. long method, 2. data class	t	t	t	2. data class		0	10133	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java/#L241-L268	1	1152	10133
752	YES, I found bad smells. The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: else { fstack.add(cfkey); builder.append(offset + "--" + cfkey + "\n"); builder.append(explainFunctionCallGraph(fgraph, fstack, cfkey, level+1)); fstack.remove(cfkey); } } } return builder.toString(); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	7035	https://github.com/apache/systemml/blob/7fba4b29d653747a9ed038d282954a44fea3031c/src/main/java/org/apache/sysml/utils/Explain.java/#L1103-L1141	2	752	7035
2573	{"response": "YES, I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected static void initialize() { STRAM.setChildren(Sets.newHashSet(APPLICATION, TEMPLATE)); APPLICATION.setChildren(Sets.newHashSet(GATEWAY, OPERATOR, STREAM)); OPERATOR.setChildren(Sets.newHashSet(PORT)); PORT.setChildren(Sets.newHashSet(UNIFIER)); STRAM_ELEMENT_TO_CONF_ELEMENT.clear(); //Initialize StramElement to ConfElement for (ConfElement confElement: ConfElement.values()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(confElement.getStramElement(), confElement); for (StramElement sElement: confElement.getAllRelatedElements()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(sElement, confElement); } } //Initialize attributes for (ConfElement confElement: ConfElement.values()) { if (confElement.getParent() == null) { continue; } setAmbiguousAttributes(confElement); } // build context to conf element map CONTEXT_TO_CONF_ELEMENT.clear(); for (ConfElement confElement: ConfElement.values()) { CONTEXT_TO_CONF_ELEMENT.put(confElement.getContextClass(), confElement); } //Check if all the context classes are accounted for Set> confElementContextClasses = Sets.newHashSet(); for (ConfElement confElement: ConfElement.values()) { if (confElement.getContextClass() == null) { continue; } confElementContextClasses.add(confElement.getContextClass()); } if (!ContextUtils.CONTEXT_CLASSES.equals(confElementContextClasses)) { throw new IllegalStateException("All the context classes " + ContextUtils.CONTEXT_CLASSES + " found in " + Context.class + " are not used by ConfElements " + confElementContextClasses); } }	long method	long method	t	t	t			0	14908	https://github.com/apache/apex-core/blob/d17f464fcaf19778e2f8edbe2b03419151558068/engine/src/main/java/com/datatorrent/stram/plan/logical/LogicalPlanConfiguration.java/#L230-L279	1	2573	14908
2535	YES I found bad smells the bad smells are: 1.Long method, 2.Conditional complexity	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected NetworkVO getDefaultNetworkForAdvancedZone(DataCenter dc) { if (dc.getNetworkType() != NetworkType.Advanced) { throw new CloudRuntimeException("Zone " + dc + " is not advanced."); } if (dc.isSecurityGroupEnabled()) { List networks = _networkDao.listByZoneSecurityGroup(dc.getId()); if (CollectionUtils.isEmpty(networks)) { throw new CloudRuntimeException("Can not found security enabled network in SG Zone " + dc); } return networks.get(0); } else { TrafficType defaultTrafficType = TrafficType.Public; List defaultNetworks = _networkDao.listByZoneAndTrafficType(dc.getId(), defaultTrafficType); // api should never allow this situation to happen if (defaultNetworks.size() != 1) { throw new CloudRuntimeException("Found " + defaultNetworks.size() + " networks of type " + defaultTrafficType + " when expect to find 1"); } return defaultNetworks.get(0); } }	long method	Long method, 2Conditional complexity	t	f	t	2.Conditional complexity		0	14753	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/consoleproxy/ConsoleProxyManagerImpl.java/#L696-L720	2	2535	14753
1379	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: // count the number of '/'s, to determine number of segments int index = -1; int pathlen = path.length(); int size = 0; if (pathlen > 0 && path.charAt(0) != '/') { size++; } while ((index = path.indexOf('/', index + 1)) != -1) { if (index + 1 < pathlen && path.charAt(index + 1) != '/') { size++; } } String[] seglist = new String[size]; boolean[] include = new boolean[size]; // break the path into segments and store in the list int current = 0; int index2 = 0; index = (pathlen > 0 && path.charAt(0) == '/') ? 1 : 0; while ((index2 = path.indexOf('/', index + 1)) != -1) { seglist[current++] = path.substring(index, index2); index = index2 + 1; } // if current==size, then the last character was a slash // and there are no more segments if (current < size) { seglist[current] = path.substring(index); } // determine which segments get included in the normalized path for (int i = 0; i < size; i++) { include[i] = true; if (seglist[i].equals("..")) { //$NON-NLS-1$ int remove = i - 1; // search back to find a segment to remove, if possible while (remove > -1 && !include[remove]) { remove--; } // if we find a segment to remove, remove it and the ".." // segment if (remove > -1 && !seglist[remove].equals("..")) { //$NON-NLS-1$ include[remove] = false; include[i] = false; } } else if (seglist[i].equals(".")) { //$NON-NLS-1$ include[i] = false; } } // put the path back together StringBuilder newpath = new StringBuilder(); if (path.startsWith("/")) { //$NON-NLS-1$ newpath.append('/'); } for (int i = 0; i < seglist.length; i++) { if (include[i]) { newpath.append(seglist[i]); newpath.append('/'); } } // if we used at least one segment and the path previously ended with // a slash and the last segment is still used, then delete the extra // trailing '/' if (!path.endsWith("/") && seglist.length > 0 //$NON-NLS-1$ && include[seglist.length - 1]) { newpath.deleteCharAt(newpath.length() - 1); } String result = newpath.toString(); // check for a ':' in the first segment if one exists, // prepend "./" to normalize index = result.indexOf(':'); index2 = result.indexOf('/'); if (index != -1 && (index < index2 || index2 == -1)) { newpath.insert(0, "./"); //$NON-NLS-1$ result = newpath.toString(); } return result; }	long method	long method	t	t	t			0	10817	https://github.com/apache/shindig/blob/8f3c3d5c77f5324bad56a5a62da28657fe9112a0/java/common/src/main/java/org/apache/shindig/common/uri/Uri.java/#L205-L289	1	1379	10817
2520	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void visit(DirectedGraph dg) { CompoundDirectedGraph graph = (CompoundDirectedGraph) dg; NodeList roots = new NodeList(); // Find all subgraphs and root subgraphs for (int i = 0; i < graph.nodes.size(); i++) { Object node = graph.nodes.get(i); if (node instanceof Subgraph) { Subgraph s = (Subgraph) node; Insets padding = dg.getPadding(s); s.head = new SubgraphBoundary(s, padding, 0); s.tail = new SubgraphBoundary(s, padding, 2); Edge headToTail = new Edge(s.head, s.tail); headToTail.weight = 10; graph.edges.add(headToTail); graph.containment.add(headToTail); graph.subgraphs.add(s); if (s.getParent() == null) roots.add(s); if (s.members.size() == 2) // The 2 being the head and tail only graph.edges.add(new Edge(s.head, s.tail)); } } buildNestingTreeIndices(roots, 0); convertSubgraphEndpoints(graph); addContainmentEdges(graph); replaceSubgraphsWithBoundaries(graph); }	long method	Long method2 Feature envy	t	f	t			0	14709	https://github.com/eclipse/gef-legacy/blob/14563a9e1f2af636a5364d195cf07dbff6f35fa6/org.eclipse.draw2d/src/org/eclipse/draw2d/graph/ConvertCompoundGraph.java/#L142-L171	2	2520	14709
2297	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final void mRULE_STRING() throws RecognitionException { try { int _type = RULE_STRING; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalXImportSectionTestLang.g:6435:13: ( ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) ) // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) { // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) int alt15=2; int LA15_0 = input.LA(1); if ( (LA15_0=='\"') ) { alt15=1; } else if ( (LA15_0=='\'') ) { alt15=2; } else { NoViableAltException nvae = new NoViableAltException("", 15, 0, input); throw nvae; } switch (alt15) { case 1 : // InternalXImportSectionTestLang.g:6435:16: '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? { match('\"'); // InternalXImportSectionTestLang.g:6435:20: ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* loop11: do { int alt11=3; int LA11_0 = input.LA(1); if ( (LA11_0=='\\') ) { alt11=1; } else if ( ((LA11_0>='\u0000' && LA11_0<='!')||(LA11_0>='#' && LA11_0<='[')||(LA11_0>=']' && LA11_0<='\uFFFF')) ) { alt11=2; } switch (alt11) { case 1 : // InternalXImportSectionTestLang.g:6435:21: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:28: ~ ( ( '\\\\' | '\"' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='!')||(input.LA(1)>='#' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop11; } } while (true); // InternalXImportSectionTestLang.g:6435:44: ( '\"' )? int alt12=2; int LA12_0 = input.LA(1); if ( (LA12_0=='\"') ) { alt12=1; } switch (alt12) { case 1 : // InternalXImportSectionTestLang.g:6435:44: '\"' { match('\"'); } break; } } break; case 2 : // InternalXImportSectionTestLang.g:6435:49: '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? { match('\''); // InternalXImportSectionTestLang.g:6435:54: ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* loop13: do { int alt13=3; int LA13_0 = input.LA(1); if ( (LA13_0=='\\') ) { alt13=1; } else if ( ((LA13_0>='\u0000' && LA13_0<='&')||(LA13_0>='(' && LA13_0<='[')||(LA13_0>=']' && LA13_0<='\uFFFF')) ) { alt13=2; } switch (alt13) { case 1 : // InternalXImportSectionTestLang.g:6435:55: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:62: ~ ( ( '\\\\' | '\\'' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='&')||(input.LA(1)>='(' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop13; } } while (true); // InternalXImportSectionTestLang.g:6435:79: ( '\\'' )? int alt14=2; int LA14_0 = input.LA(1); if ( (LA14_0=='\'') ) { alt14=1; } switch (alt14) { case 1 : // InternalXImportSectionTestLang.g:6435:79: '\\'' { match('\''); } break; } } break; } } state.type = _type; state.channel = _channel; } finally { } }	long method	long method	t	t	t			0	14024	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase.testlanguages/src-gen/org/eclipse/xtext/xbase/testlanguages/parser/antlr/internal/InternalXImportSectionTestLangLexer.java/#L2127-L2300	1	2297	14024
1345	YES, I found bad smells the bad smells are: 1.Long method, 2.Feature envy: unnecessary dependency on other classes such as SequenceType, Quantifier, ItemType, AnyItemType, AtomicType, BuiltinTypeRegistry, SchemaType, NodeType, NodeKind. This code is tightly coupled. 3.Magic numbers: Type IDs like testIT.getTypeID() make the code less readable.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean matchesAllInstances(SequenceType testST) { Quantifier stq = sequenceType.getQuantifier(); ItemType it = sequenceType.getItemType(); if (stq.isSubQuantifier(testST.getQuantifier())) { if (it instanceof AnyItemType) { return true; } else if (it.isAtomicType() && testST.getItemType().isAtomicType()) { AtomicType ait = (AtomicType) it; AtomicType testIT = (AtomicType) testST.getItemType(); if (BuiltinTypeRegistry.INSTANCE.isBuiltinTypeId(testIT.getTypeId())) { SchemaType vType = BuiltinTypeRegistry.INSTANCE.getSchemaTypeById(testIT.getTypeId()); while (vType != null && vType.getTypeId() != ait.getTypeId()) { vType = vType.getBaseType(); } return vType != null; } } else if (it instanceof NodeType && testST.getItemType() instanceof NodeType) { NodeType nt = (NodeType) it; NodeKind kind = nt.getNodeKind(); NodeType testNT = (NodeType) testST.getItemType(); NodeKind testKind = testNT.getNodeKind(); if (kind == NodeKind.ANY || kind == testKind) { return true; } } return false; } return false; }	long method	Long method, 2Feature envy: unnecessary dependency on other classes such as SequenceType, Quantifier, ItemType, AnyItemType, AtomicType, BuiltinTypeRegistry, SchemaType, NodeType, NodeKind This code is tightly coupled 3Magic numbers: Type IDs like testITgetTypeID() make the code less readable	t	f	t	2.Feature envy: unnecessary dependency on other classes such as SequenceType, Quantifier, ItemType, AnyItemType, AtomicType, BuiltinTypeRegistry, SchemaType, NodeType, NodeKind. This code is tightly coupled. 3.Magic numbers: Type IDs like testIT.getTypeID() make the code less readable.		0	10747	https://github.com/apache/vxquery/blob/5d1175d2cb04a54ba751295f2ac67daec38bf723/vxquery-core/src/main/java/org/apache/vxquery/runtime/functions/type/SequenceTypeMatcher.java/#L156-L184	2	1345	10747
1269	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	long method	t	t	t			0	10565	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	1	1269	10565
885	{"response": "YES, I found bad smells", "detected_bad_smells": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void checkAlternativeConstructor() { // Local Declarations MasterDetailsPair mDetailsP; DataComponent dComponent; String MasterType1 = "TypeOne!"; // Setup DataComponent dComponent = new DataComponent(); dComponent.setName(MasterType1); IEntry entry = new StringEntry(); // Add entry to dComponent dComponent.addEntry(entry); // Call Alternative Constructor mDetailsP = new MasterDetailsPair(MasterType1, dComponent); // Check values. Should be typeone and equal to the declared // dataComponent assertEquals(MasterType1, mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // Try to pass null to the constructor - sets values appropriately mDetailsP = new MasterDetailsPair(null, dComponent); // null master assertNull(mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // DataComponent null mDetailsP = new MasterDetailsPair(MasterType1, null); assertEquals(MasterType1, mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); // Both null mDetailsP = new MasterDetailsPair(null, null); assertNull(mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); }	long method	long method, feature envy	t	t	t	feature envy		0	8053	https://github.com/eclipse/ice/blob/3f6e0265f5b476ff90a660397ce83992944142c4/org.eclipse.ice.tests.datastructures/src/org/eclipse/ice/tests/datastructures/MasterDetailsPairTester.java/#L201-L238	1	885	8053
2426	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3.Nested conditionals, 4.Method chain, 5.Inappropriate naming, 6.Duplicated code, 7.Complexity, 8.Poor exception handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void run( IAction action ) { if ( !preGenerate( ) ) { return; } IFile file = getSelectedFile( ); if ( file != null ) { String url = file.getLocation( ).toOSString( ); Map options = new HashMap( ); options.put( WebViewer.RESOURCE_FOLDER_KEY, ReportPlugin.getDefault( ) .getResourceFolder( file.getProject( ) ) ); options.put( WebViewer.SERVLET_NAME_KEY, WebViewer.VIEWER_DOCUMENT ); Object adapter = ElementAdapterManager.getAdapter( action, IPreviewAction.class ); if ( adapter instanceof IPreviewAction ) { IPreviewAction delegate = (IPreviewAction) adapter; delegate.setProperty( IPreviewConstants.REPORT_PREVIEW_OPTIONS, options ); delegate.setProperty( IPreviewConstants.REPORT_FILE_PATH, url ); delegate.run( ); return; } try { WebViewer.display( url, options ); } catch ( Exception e ) { ExceptionUtil.handle( e ); return; } } else { action.setEnabled( false ); } }	long method	Long method, 2Magic numbers, 3Nested conditionals, 4Method chain, 5Inappropriate naming, 6Duplicated code, 7Complexity, 8Poor exception handling	t	f	t	2.Magic numbers, 3.Nested conditionals, 4.Method chain, 5.Inappropriate naming, 6.Duplicated code, 7.Complexity, 8.Poor exception handling.		0	14445	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.preview.web/src/org/eclipse/birt/report/designer/ui/ide/navigator/GenerateDocumentAction.java/#L39-L87	2	2426	14445
1734	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	Long method2 Feature envy	t	f	t			0	11823	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	2	1734	11823
1322	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	Long method2 Feature envy	t	f	t			0	10699	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	2	1322	10699
2078	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String toString() { StringBuilder sb = new StringBuilder(); sb.append(Constants.INDENT); sb.append("kdf: 0x"); sb.append(Functions.toFullHexString(kdf)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedDataLen: "); sb.append(pSharedData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedData: "); sb.append(Functions.toHexString(pSharedData)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicDataLen: "); sb.append(pPublicData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicData: "); sb.append(Functions.toHexString(pPublicData)); //buffer.append(Constants.NEWLINE); return sb.toString(); }	long method	Long method2 Feature envy	t	f	t			0	13053	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/wrapper/CK_ECDH1_DERIVE_PARAMS.java/#L107-L136	2	2078	13053
1227	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Map tika_parse(InputStream sourceStream, String prefix, Integer maxAttribs, Integer maxAttribLen) throws IOException, TikaException, SAXException { final Metadata metadata = new Metadata(); final TikaInputStream tikaInputStream = TikaInputStream.get(sourceStream); try { autoDetectParser.parse(tikaInputStream, new DefaultHandler(), metadata); } finally { tikaInputStream.close(); } final Map results = new HashMap<>(); final Pattern metadataKeyFilter = metadataKeyFilterRef.get(); final StringBuilder dataBuilder = new StringBuilder(); for (final String key : metadata.names()) { if (metadataKeyFilter != null && !metadataKeyFilter.matcher(key).matches()) { continue; } dataBuilder.setLength(0); if (metadata.isMultiValued(key)) { for (String val : metadata.getValues(key)) { if (dataBuilder.length() > 1) { dataBuilder.append(", "); } if (dataBuilder.length() + val.length() < maxAttribLen) { dataBuilder.append(val); } else { dataBuilder.append("..."); break; } } } else { dataBuilder.append(metadata.get(key)); } if (prefix == null) { results.put(key, dataBuilder.toString().trim()); } else { results.put(prefix + key, dataBuilder.toString().trim()); } // cutoff at max if provided if (maxAttribs != null && results.size() >= maxAttribs) { break; } } return results; }	long method	long method	t	t	t			0	10353	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-media-bundle/nifi-media-processors/src/main/java/org/apache/nifi/processors/media/ExtractMediaMetadata.java/#L210-L255	1	1227	10353
1997	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @MultiMQAdminCmdMethod public Map resetOffset(ResetOffsetRequest resetOffsetRequest) { Map groupRollbackStats = Maps.newHashMap(); for (String consumerGroup : resetOffsetRequest.getConsumerGroupList()) { try { Map rollbackStatsMap = mqAdminExt.resetOffsetByTimestamp(resetOffsetRequest.getTopic(), consumerGroup, resetOffsetRequest.getResetTime(), resetOffsetRequest.isForce()); ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = consumerGroupRollBackStat.getRollbackStatsList(); for (Map.Entry rollbackStatsEntty : rollbackStatsMap.entrySet()) { RollbackStats rollbackStats = new RollbackStats(); rollbackStats.setRollbackOffset(rollbackStatsEntty.getValue()); rollbackStats.setQueueId(rollbackStatsEntty.getKey().getQueueId()); rollbackStats.setBrokerName(rollbackStatsEntty.getKey().getBrokerName()); rollbackStatsList.add(rollbackStats); } groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); } catch (MQClientException e) { if (ResponseCode.CONSUMER_NOT_ONLINE == e.getResponseCode()) { try { ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = mqAdminExt.resetOffsetByTimestampOld(consumerGroup, resetOffsetRequest.getTopic(), resetOffsetRequest.getResetTime(), true); consumerGroupRollBackStat.setRollbackStatsList(rollbackStatsList); groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); continue; } catch (Exception err) { logger.error("op=resetOffset_which_not_online_error", err); } } else { logger.error("op=resetOffset_error", e); } groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } catch (Exception e) { logger.error("op=resetOffset_error", e); groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } } return groupRollbackStats; }	long method	Long method2 Feature envy	t	f	t			0	12700	https://github.com/apache/rocketmq-externals/blob/dba6eb0c997d5c325f26b3d1da9d739d927228dc/rocketmq-console/src/main/java/org/apache/rocketmq/console/service/impl/ConsumerServiceImpl.java/#L208-L251	2	1997	12700
1972	{"output": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: List freevarDefs(int pos, List freevars, Symbol owner, long additionalFlags) { long flags = FINAL | SYNTHETIC | additionalFlags; List defs = List.nil(); Set proxyNames = new HashSet<>(); for (List l = freevars; l.nonEmpty(); l = l.tail) { VarSymbol v = l.head; int index = 0; Name proxyName; do { proxyName = proxyName(v.name, index++); } while (!proxyNames.add(proxyName)); VarSymbol proxy = new VarSymbol( flags, proxyName, v.erasure(types), owner); proxies.put(v, proxy); JCVariableDecl vd = make.at(pos).VarDef(proxy, null); vd.vartype = access(vd.vartype); defs = defs.prepend(vd); } return defs; }	long method	1. long method	t	t	t			0	12611	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.compiler/share/classes/com/sun/tools/javac/comp/Lower.java/#L1457-L1477	1	1972	12611
5481	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.util.concurrent.Future updateStack( final UpdateStackRequest request, final com.oracle.bmc.responses.AsyncHandler handler) { LOG.trace("Called async updateStack"); final UpdateStackRequest interceptedRequest = UpdateStackConverter.interceptRequest(request); final com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = UpdateStackConverter.fromRequest(client, interceptedRequest); final com.google.common.base.Function transformer = UpdateStackConverter.fromResponse(); com.oracle.bmc.responses.AsyncHandler handlerToUse = handler; if (handler != null && this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { handlerToUse = new com.oracle.bmc.util.internal.RefreshAuthTokenWrappingAsyncHandler< UpdateStackRequest, UpdateStackResponse>( (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, handler) { @Override public void retryCall() { final com.oracle.bmc.util.internal.Consumer onSuccess = new com.oracle.bmc.http.internal.SuccessConsumer<>( this, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = new com.oracle.bmc.http.internal.ErrorConsumer<>( this, interceptedRequest); client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }; } final com.oracle.bmc.util.internal.Consumer onSuccess = (handler == null) ? null : new com.oracle.bmc.http.internal.SuccessConsumer<>( handlerToUse, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = (handler == null) ? null : new com.oracle.bmc.http.internal.ErrorConsumer<>( handlerToUse, interceptedRequest); java.util.concurrent.Future responseFuture = client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); if (this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { return new com.oracle.bmc.util.internal.RefreshAuthTokenTransformingFuture< javax.ws.rs.core.Response, UpdateStackResponse>( responseFuture, transformer, (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, new com.google.common.base.Supplier< java.util.concurrent.Future>() { @Override public java.util.concurrent.Future get() { return client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }); } else { return new com.oracle.bmc.util.internal.TransformingFuture<>( responseFuture, transformer); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	1263	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-resourcemanager/src/main/java/com/oracle/bmc/resourcemanager/ResourceManagerAsyncClient.java/#L1366-L1452	1	5481	1263
1840	YES I found bad smells: 1. Long method, 2. Magic number, 3. Feature envy, 4. Duplicate code: LOG.info statements, 5. Redundant code: null check for dirRoot, 6. Magic strings: "Start crawling dir:", "Crawling", "Finished crawling dir:", 7. Lack of clear separation of concerns: mixing of logging and crawling functionality, 8. Lack of proper error handling and exception handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void crawl(File dirRoot) { LOG.info(String.format("Start crawling dir: %s", dirRoot)); // Reset ingest status.a ingestStatus.clear(); // Load actions. loadAndValidateActions(); // Create Ingester. setupIngester(); // Verify valid crawl directory. if (dirRoot == null || !dirRoot.exists()) { throw new IllegalArgumentException("dir root is null or non existant!"); } // Start crawling. Stack stack = new Stack(); stack.push(dirRoot.isDirectory() ? dirRoot : dirRoot.getParentFile()); while (!stack.isEmpty()) { File dir = (File) stack.pop(); LOG.log(Level.INFO, "Crawling " + dir); File[] productFiles; productFiles = isCrawlForDirs() ? dir.listFiles(DIR_FILTER) : dir.listFiles(FILE_FILTER); if(productFiles!=null) { for (File productFile : productFiles) { ingestStatus.add(handleFile(productFile)); } } if (!isNoRecur()) { File[] subdirs = dir.listFiles(DIR_FILTER); if (subdirs != null) { for (File subdir : subdirs) { stack.push(subdir); } } } } LOG.info(String.format("Finished crawling dir: %s", dirRoot)); }	long method	Long method, 2 Magic number, 3 Feature envy, 4 Duplicate code: LOGinfo statements, 5 Redundant code: null check for dirRoot, 6 Magic strings: "Start crawling dir:", "Crawling", "Finished crawling dir:", 7 Lack of clear separation of concerns: mixing of logging and crawling functionality, 8 Lack of proper error handling and exception handling	t	f	t	2. Magic number, 3. Feature envy, 4. Duplicate code: LOG.info statements, 5. Redundant code: null check for dirRoot, 6. Magic strings: "Start crawling dir:", "Crawling", "Finished crawling dir:", 7. Lack of clear separation of concerns: mixing of logging and crawling functionality, 8. Lack of proper error handling and exception handling.		0	12149	https://github.com/apache/oodt/blob/9f2a500b9d061c31ccd71fc66c4d6e40f0c25acb/crawler/src/main/java/org/apache/oodt/cas/crawl/ProductCrawler.java/#L79-L124	2	1840	12149
1172	{"output": "YES I found bad smells\nthe bad smells are: Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final void mRULE_STRING() throws RecognitionException { try { int _type = RULE_STRING; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalXImportSectionTestLang.g:6435:13: ( ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) ) // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) { // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) int alt15=2; int LA15_0 = input.LA(1); if ( (LA15_0=='\"') ) { alt15=1; } else if ( (LA15_0=='\'') ) { alt15=2; } else { NoViableAltException nvae = new NoViableAltException("", 15, 0, input); throw nvae; } switch (alt15) { case 1 : // InternalXImportSectionTestLang.g:6435:16: '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? { match('\"'); // InternalXImportSectionTestLang.g:6435:20: ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* loop11: do { int alt11=3; int LA11_0 = input.LA(1); if ( (LA11_0=='\\') ) { alt11=1; } else if ( ((LA11_0>='\u0000' && LA11_0<='!')||(LA11_0>='#' && LA11_0<='[')||(LA11_0>=']' && LA11_0<='\uFFFF')) ) { alt11=2; } switch (alt11) { case 1 : // InternalXImportSectionTestLang.g:6435:21: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:28: ~ ( ( '\\\\' | '\"' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='!')||(input.LA(1)>='#' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop11; } } while (true); // InternalXImportSectionTestLang.g:6435:44: ( '\"' )? int alt12=2; int LA12_0 = input.LA(1); if ( (LA12_0=='\"') ) { alt12=1; } switch (alt12) { case 1 : // InternalXImportSectionTestLang.g:6435:44: '\"' { match('\"'); } break; } } break; case 2 : // InternalXImportSectionTestLang.g:6435:49: '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? { match('\''); // InternalXImportSectionTestLang.g:6435:54: ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* loop13: do { int alt13=3; int LA13_0 = input.LA(1); if ( (LA13_0=='\\') ) { alt13=1; } else if ( ((LA13_0>='\u0000' && LA13_0<='&')||(LA13_0>='(' && LA13_0<='[')||(LA13_0>=']' && LA13_0<='\uFFFF')) ) { alt13=2; } switch (alt13) { case 1 : // InternalXImportSectionTestLang.g:6435:55: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:62: ~ ( ( '\\\\' | '\\'' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='&')||(input.LA(1)>='(' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop13; } } while (true); // InternalXImportSectionTestLang.g:6435:79: ( '\\'' )? int alt14=2; int LA14_0 = input.LA(1); if ( (LA14_0=='\'') ) { alt14=1; } switch (alt14) { case 1 : // InternalXImportSectionTestLang.g:6435:79: '\\'' { match('\''); } break; } } break; } } state.type = _type; state.channel = _channel; } finally { } }	long method	long method	t	t	t			0	10197	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase.testlanguages/src-gen/org/eclipse/xtext/xbase/testlanguages/parser/antlr/internal/InternalXImportSectionTestLangLexer.java/#L2127-L2300	1	1172	10197
959	{ "output": "YES I found bad smells, the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: BundleArchiveRevision(String location, File revisionDir, File file) throws IOException{ this.revisionDir = revisionDir; this.location = location; if (!this.revisionDir.exists()) { this.revisionDir.mkdirs(); } if(revisionDir.getAbsolutePath().startsWith(RuntimeVariables.androidApplication.getFilesDir().getAbsolutePath())){ externalStorage = false; }else{ externalStorage = true; } if(shouldCopyInstallFile(file)){ if (isSameDriver(revisionDir, file)) { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); boolean result = file.renameTo(bundleFile); if(!result){ ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } } else { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } installSoLib(bundleFile); }else{ this.revisionLocation = REFERENCE_PROTOCOL + file.getAbsolutePath(); this.bundleFile = file; installSoLib(file); } updateMetadata(); }	long method	1. long method	t	t	t			0	8560	https://github.com/alibaba/atlas/blob/e8c7b3f1ff14b2a1df64321c6992b796cae7d732/atlas-core/src/main/java/android/taobao/atlas/framework/bundlestorage/BundleArchiveRevision.java/#L301-L332	1	959	8560
374	YES I found bad smells, the bad smells are: 1. Long method, 2. Magic strings, 3. Multiple statements per line, 4. Duplicate code, 5. Non-descriptive variable names, 6. Hard-coded values, 7. Poorly structured code, 8. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void testGroupByOrderPreservingDescSort() throws Exception { Properties props = PropertiesUtil.deepCopy(TEST_PROPERTIES); Connection conn = DriverManager.getConnection(getUrl(), props); String tableName = generateUniqueName(); conn.createStatement().execute("CREATE TABLE " + tableName + " (k1 char(1) not null, k2 char(1) not null," + " constraint pk primary key (k1,k2)) split on ('ac','jc','nc')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'd')"); conn.commit(); QueryBuilder queryBuilder = new QueryBuilder() .setSelectExpression("K1,COUNT(*)") .setSelectColumns(Lists.newArrayList("K1")) .setFullTableName(tableName) .setGroupByClause("K1") .setOrderByClause("K1 DESC"); ResultSet rs = executeQuery(conn, queryBuilder); assertTrue(rs.next()); assertEquals("n", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("j", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("a", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertFalse(rs.next()); String expectedPhoenixPlan = "CLIENT PARALLEL 1-WAY REVERSE FULL SCAN OVER " + tableName + "\n" + " SERVER FILTER BY FIRST KEY ONLY\n" + " SERVER AGGREGATE INTO ORDERED DISTINCT ROWS BY [K1]"; validateQueryPlan(conn, queryBuilder, expectedPhoenixPlan, null); }	long method	Long method, 2 Magic strings, 3 Multiple statements per line, 4 Duplicate code, 5 Non-descriptive variable names, 6 Hard-coded values, 7 Poorly structured code, 8 Feature envy	t	f	t	2. Magic strings, 3. Multiple statements per line, 4. Duplicate code, 5. Non-descriptive variable names, 6. Hard-coded values, 7. Poorly structured code, 8. Feature envy.		0	3864	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/it/java/org/apache/phoenix/end2end/BaseAggregateIT.java/#L386-L427	2	374	3864
1388	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public synchronized void start(BundleContext context) throws Exception { PermissionAdminImpl pai = null; SecureAction action = new SecureAction(); Permissions permissions = new Permissions(context, action); File tmp = context.getDataFile("security" + File.separator + "tmp"); if ((tmp == null) || (!tmp.isDirectory() && !tmp.mkdirs())) { throw new IOException("Can't create tmp dir."); } // TODO: log something if we can not clean-up the tmp dir File[] old = tmp.listFiles(); if (old != null) { for (int i = 0; i < old.length; i++) { old[i].delete(); } } if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_PERMISSIONADMIN_PROP, SecurityConstants.ENABLE_PERMISSIONADMIN_VALUE))) { File cache = context.getDataFile("security" + File.separator + "pa.txt"); if ((cache == null) || (!cache.isFile() && !cache.createNewFile())) { throw new IOException("Can't create cache file"); } pai = new PermissionAdminImpl(permissions, new PropertiesCache( cache, tmp, action)); } ConditionalPermissionAdminImpl cpai = null; if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_CONDPERMADMIN_PROP, SecurityConstants.ENABLE_CONDPERMADMIN_VALUE))) { File cpaCache = context.getDataFile("security" + File.separator + "cpa.txt"); if ((cpaCache == null) || (!cpaCache.isFile() && !cpaCache.createNewFile())) { throw new IOException("Can't create cache file"); } LocalPermissions localPermissions = new LocalPermissions( permissions); cpai = new ConditionalPermissionAdminImpl(permissions, new Conditions(action), localPermissions, new PropertiesCache( cpaCache, tmp, action), pai); } if ((pai != null) || (cpai != null)) { String crlList = getProperty(context, SecurityConstants.CRL_FILE_PROP, SecurityConstants.CRL_FILE_VALUE); String storeList = getProperty(context, SecurityConstants.KEYSTORE_FILE_PROP, SecurityConstants.KEYSTORE_FILE_VALUE); String passwdList = getProperty(context, SecurityConstants.KEYSTORE_PASS_PROP, SecurityConstants.KEYSTORE_PASS_VALUE); String typeList = getProperty(context, SecurityConstants.KEYSTORE_TYPE_PROP, SecurityConstants.KEYSTORE_TYPE_VALUE); String osgi_keystores = getProperty(context, Constants.FRAMEWORK_TRUST_REPOSITORIES, null); if (osgi_keystores != null) { StringTokenizer tok = new StringTokenizer(osgi_keystores, File.pathSeparator); if (storeList.length() == 0) { storeList += "file:" + tok.nextToken(); passwdList += " "; typeList += "JKS"; } while (tok.hasMoreTokens()) { storeList += "|file:" + tok.nextToken(); passwdList += "| "; typeList += "|JKS"; } } StringTokenizer storeTok = new StringTokenizer(storeList, "|"); StringTokenizer passwdTok = new StringTokenizer(passwdList, "|"); StringTokenizer typeTok = new StringTokenizer(typeList, "|"); if ((storeTok.countTokens() != typeTok.countTokens()) || (passwdTok.countTokens() != storeTok.countTokens())) { throw new BundleException( "Each CACerts keystore must have one type and one passwd entry and vice versa."); } SecurityProvider provider = new SecurityProviderImpl(crlList, typeList, passwdList, storeList, pai, cpai, action, ((Felix) context.getBundle(0)).getLogger()); ((Felix) context.getBundle(0)).setSecurityProvider(provider); } if (pai != null) { context.registerService(PermissionAdmin.class.getName(), pai, null); } if (cpai != null) { context.registerService(ConditionalPermissionAdmin.class.getName(), cpai, null); } }	long method	long method, data class	t	t	t	data class		0	10839	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/framework.security/src/main/java/org/apache/felix/framework/SecurityActivator.java/#L99-L220	1	1388	10839
2523	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void bind(PropertyList pList) throws FOPException { super.bind(pList); alignmentAdjust = pList.get(PR_ALIGNMENT_ADJUST).getLength(); alignmentBaseline = pList.get(PR_ALIGNMENT_BASELINE).getEnum(); baselineShift = pList.get(PR_BASELINE_SHIFT).getLength(); dominantBaseline = pList.get(PR_DOMINANT_BASELINE).getEnum(); leaderAlignment = pList.get(PR_LEADER_ALIGNMENT).getEnum(); leaderLength = pList.get(PR_LEADER_LENGTH).getLengthRange(); leaderPattern = pList.get(PR_LEADER_PATTERN).getEnum(); leaderPatternWidth = pList.get(PR_LEADER_PATTERN_WIDTH).getLength(); // use default rule thickness as a default ruleThickness = getPropertyMakerFor(PR_RULE_THICKNESS).make(pList).getLength(); switch(leaderPattern) { case EN_SPACE: // use Space break; case EN_RULE: // the following properties only apply // for leader-pattern = "rule" ruleStyle = pList.get(PR_RULE_STYLE).getEnum(); // use specified rule thickness to override default (established above) ruleThickness = pList.get(PR_RULE_THICKNESS).getLength(); break; case EN_DOTS: break; case EN_USECONTENT: // use inline layout manager to create inline areas // add the inline parent multiple times until leader full break; default: throw new RuntimeException("Invalid leader pattern: " + leaderPattern); } // letterSpacing = pList.get(PR_LETTER_SPACING); // textShadow = pList.get(PR_TEXT_SHADOW); }	long method	Long method2 Feature envy	t	f	t			0	14713	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fo/flow/Leader.java/#L72-L106	2	2523	14713
1394	YES I found bad smells. The detected bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String getColumnText(Object element, int columnIndex) { if (element instanceof HadoopServer) { HadoopServer server = (HadoopServer) element; switch (columnIndex) { case 0: return server.getLocationName(); case 1: return server.getMasterHostName().toString(); case 2: return server.getState(); case 3: return ""; } } else if (element instanceof HadoopJob) { HadoopJob job = (HadoopJob) element; switch (columnIndex) { case 0: return job.getJobID().toString(); case 1: return ""; case 2: return job.getState().toString(); case 3: return job.getStatus(); } } else if (element instanceof JarModule) { JarModule jar = (JarModule) element; switch (columnIndex) { case 0: return jar.toString(); case 1: return "Publishing jar to server.."; case 2: return ""; } } return null; }	long method	Long method 2 Feature envy	t	f	t			0	10850	https://github.com/apache/hadoop-mapreduce/blob/307cb5b316e10defdbbc228d8cdcdb627191ea15/src/contrib/eclipse-plugin/src/java/org/apache/hadoop/eclipse/view/servers/ServerView.java/#L369-L410	2	1394	10850
2260	YES, I found bad smells the bad smells are: 1. Commented out code 2. Multiple nested if-else statements 3. Use of instanceof operator 4. Use of a switch statement 5. Duplicate code 6. Naming conventions not followed (method name should be in lower camel case) 7. Inconsistent formatting/spacing 8. Long method (more than 10 lines of code)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static boolean evaluateImpl(Object o1, Object o2) { // TODO: maybe we need a comparison "strategy" here, instead of // a switch of all possible cases? ... there were other requests for // more relaxed type-unsafe comparison (e.g. numbers to strings) if (o1 == null && o2 == null) { return true; } else if (o1 != null) { // Per CAY-419 we perform 'in' comparison if one object is a list, and other is not if (o2 instanceof Collection) { for (Object element : ((Collection) o2)) { if (element != null && Evaluator.evaluator(element).eq(element, o1)) { return true; } } return false; } return Evaluator.evaluator(o1).eq(o1, o2); } return false; }	long method	Commented out code2 Multiple nested if-else statements3 Use of instanceof operator4 Use of a switch statement5 Duplicate code6 Naming conventions not followed (method name should be in lower camel case)7 Inconsistent formatting/spacing8 Long method (more than	t	f	t			0	13711	https://github.com/apache/cayenne/blob/5be5235ed1c02589b6300e9729cf3c308c0173e8/cayenne-server/src/main/java/org/apache/cayenne/exp/parser/ASTEqual.java/#L76-L97	2	2260	13711
1502	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Code duplication 4. Inconsistent naming conventions 5. Complex conditional statements 6. Nested loops 7. Unnecessary try-catch blocks 8. Inadequate exception handling 9. Inconsistent indentation and formatting 10. Poor variable naming 11. Code comments that are unclear or obsolete 12. Lack of modularity and separation of concerns 13. Too many responsibilities for a single method 14. Use of outdated Java language features	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void refreshInternal(Collection objs, OpCallbacks call) { if (objs == null || objs.isEmpty()) return; List exceps = null; try { // collect instances that need a refresh Collection load = null; StateManagerImpl sm; Object obj; for (Iterator itr = objs.iterator(); itr.hasNext();) { obj = itr.next(); if (obj == null) continue; try { sm = getStateManagerImpl(obj, true); if ((processArgument(OpCallbacks.OP_REFRESH, obj, sm, call) & OpCallbacks.ACT_RUN) == 0) continue; if (sm != null) { if (sm.isDetached()) throw newDetachedException(obj, "refresh"); else if (sm.beforeRefresh(true)) { if (load == null) load = new ArrayList<>(objs.size()); load.add(sm); } int level = _fc.getReadLockLevel(); int timeout = _fc.getLockTimeout(); _lm.refreshLock(sm, level, timeout, null); sm.readLocked(level, level); } else if (assertPersistenceCapable(obj).pcIsDetached() == Boolean.TRUE) throw newDetachedException(obj, "refresh"); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } // refresh all if (load != null) { Collection failed = _store.loadAll(load, null, StoreManager.FORCE_LOAD_REFRESH, _fc, null); if (failed != null && !failed.isEmpty()) exceps = add(exceps, newObjectNotFoundException(failed)); // perform post-refresh transitions and make sure all fetch // group fields are loaded for (Iterator itr = load.iterator(); itr.hasNext();) { sm = (StateManagerImpl) itr.next(); if (failed != null && failed.contains(sm.getId())) continue; try { sm.afterRefresh(); sm.load(_fc, StateManagerImpl.LOAD_FGS, null, null, false); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } // now invoke postRefresh on all the instances for (Iterator itr = objs.iterator(); itr.hasNext();) { try { sm = getStateManagerImpl(itr.next(), true); if (sm != null && !sm.isDetached()) fireLifecycleEvent(sm.getManagedInstance(), null, sm.getMetaData(), LifecycleEvent.AFTER_REFRESH); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } catch (OpenJPAException ke) { throw ke; } catch (RuntimeException re) { throw new GeneralException(re); } throwNestedExceptions(exceps, false); }	long method	Long method2 Feature envy3 Code duplication4 Inconsistent naming conventions5 Complex conditional statements6 Nested loops7 Unnecessary try-catch blocks8 Inadequate exception handling9 Inconsistent indentation and formatting	t	f	t			0	11135	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-kernel/src/main/java/org/apache/openjpa/kernel/BrokerImpl.java/#L3172-L3253	2	1502	11135
1429	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	Long method2 Feature envy	t	f	t			0	10951	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	2	1429	10951
961	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected static void initialize() { STRAM.setChildren(Sets.newHashSet(APPLICATION, TEMPLATE)); APPLICATION.setChildren(Sets.newHashSet(GATEWAY, OPERATOR, STREAM)); OPERATOR.setChildren(Sets.newHashSet(PORT)); PORT.setChildren(Sets.newHashSet(UNIFIER)); STRAM_ELEMENT_TO_CONF_ELEMENT.clear(); //Initialize StramElement to ConfElement for (ConfElement confElement: ConfElement.values()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(confElement.getStramElement(), confElement); for (StramElement sElement: confElement.getAllRelatedElements()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(sElement, confElement); } } //Initialize attributes for (ConfElement confElement: ConfElement.values()) { if (confElement.getParent() == null) { continue; } setAmbiguousAttributes(confElement); } // build context to conf element map CONTEXT_TO_CONF_ELEMENT.clear(); for (ConfElement confElement: ConfElement.values()) { CONTEXT_TO_CONF_ELEMENT.put(confElement.getContextClass(), confElement); } //Check if all the context classes are accounted for Set> confElementContextClasses = Sets.newHashSet(); for (ConfElement confElement: ConfElement.values()) { if (confElement.getContextClass() == null) { continue; } confElementContextClasses.add(confElement.getContextClass()); } if (!ContextUtils.CONTEXT_CLASSES.equals(confElementContextClasses)) { throw new IllegalStateException("All the context classes " + ContextUtils.CONTEXT_CLASSES + " found in " + Context.class + " are not used by ConfElements " + confElementContextClasses); } }	long method	long method	t	t	t			0	8569	https://github.com/apache/apex-core/blob/d17f464fcaf19778e2f8edbe2b03419151558068/engine/src/main/java/com/datatorrent/stram/plan/logical/LogicalPlanConfiguration.java/#L230-L279	1	961	8569
2185	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: Type asTuple() { final Type result; if (types.size() == 0) { result = unit.getEmptyType(); } else { final Type sequentialType; if (variadic) { Part part = new Part("Sequence", Collections.singletonList(getLast())); sequentialType = loadType("ceylon.language", atLeastOne ? "ceylon.language.Sequence" : "ceylon.language.Sequential", part, null); } else { sequentialType = unit.getEmptyType(); } if (variadic && types.size() == 1) { result = sequentialType; } else { Part part = new Part(); // if we're variadic we put the element type there because we skip it below // if we're not variadic we are not going to skip it so let's not union it with itself Type union = variadic ? getLast() : null; Type tupleType = sequentialType; // A,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // A=,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // tupleType = [A,[B]|[]]|[] // A=,B* // union = B // tupleType = [B*] // t = A // union = A|B // tupleType = [A,[B*]] // tupleType = [A,[B*]]|[] int makeDefaulted = defaulted; for (int ii = types.size()-(variadic? 2 : 1); ii >= 0; ii--) { Type t = types.get(ii); // FIXME: subtyping in the type parser may cause issues if(union != null) // any second element (variadic or not) union = ModelUtil.unionType(union, t, unit); else union = t; // any first element part.parameters = Arrays.asList(union, t, tupleType); part.name = "Tuple"; tupleType = loadType("ceylon.language", "ceylon.language.Tuple", part, null); if(makeDefaulted > 0){ makeDefaulted--; tupleType = union(Arrays.asList(unit.getEmptyType(), tupleType), unit); } } result = tupleType; } } return result; }	long method	long method, blob	t	t	t	blob		0	13430	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/model/src/org/eclipse/ceylon/model/loader/TypeParser.java/#L431-L505	1	2185	13430
1878	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void buildContent( ) { // Defines provider. IDescriptorProvider nameProvider = new TextPropertyDescriptorProvider( IDesignElementModel.NAME_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); // Defines section. TextSection nameSection = new TextSection( nameProvider.getDisplayName( ), container, true ); nameSection.setProvider( nameProvider ); nameSection.setLayoutNum( 6 ); nameSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_NAME, nameSection ); //$NON-NLS-1$ ComboPropertyDescriptorProvider variableTypeProvider = new ComboPropertyDescriptorProvider( IVariableElementModel.TYPE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); variableTypeProvider.enableReset( true ); ComboSection variableTypeSection = new ComboSection( variableTypeProvider.getDisplayName( ), container, true ); variableTypeSection.setProvider( variableTypeProvider ); variableTypeSection.setLayoutNum( 6 ); variableTypeSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_TYPE, variableTypeSection ); ExpressionPropertyDescriptorProvider variableValueProvider = new ExpressionPropertyDescriptorProvider( IVariableElementModel.VALUE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); ExpressionSection variableValueSection = new ExpressionSection( variableValueProvider.getDisplayName( ), container, true ); variableValueSection.setMulti(false); variableValueSection.setProvider( variableValueProvider ); variableValueSection.setWidth( 500 ); variableValueSection.setLayoutNum( 6 ); addSection( PageSectionId.VARIABLE_VALUE, variableValueSection ); }	long method	long method	t	t	t			0	12273	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.views/src/org/eclipse/birt/report/designer/internal/ui/views/attributes/page/VariablePage.java/#L32-L74	1	1878	12273
1647	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Primitive obsession 4. Inefficient looping 5. Inconsistent naming conventions 6. Lack of encapsulation/modularity 7. Inconsistent use of synchronized blocks 8. Complex conditional statements within loops 9. Use of break/continue statements 10. Lack of proper commenting/documentation.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private int addManualRecord(Airing recAir, UIClient uiClient) { // Check to make sure we have an encoder that can receive this station Set tryUs = new HashSet(encoderStateMap.values()); Iterator walker = tryUs.iterator(); // We only need to worry about conflicts with other recordings that occur within the same set of stations. If // encoder A has no intersection with the stations on encoder B; then there's no reason to prompt about conflicts from // that tuner since it won't help resolve scheduling issues. So this set will be all the stations that either directly or // indirectly could resolve a conflict with the new recording. // Due to the indirect nature of this; we have to keep checking through the encoders until this set stops growing in size Set unifiedStationSet = new HashSet(); boolean encoderExists = false; while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (es.stationSet.contains(recAir.stationID)) { encoderExists = true; unifiedStationSet.addAll(es.stationSet); walker.remove(); // to avoid redundant checking below break; } } } if (!encoderExists) return VideoFrame.WATCH_FAILED_NO_ENCODERS_HAVE_STATION; int lastSetSize; do { lastSetSize = unifiedStationSet.size(); walker = tryUs.iterator(); while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (unifiedStationSet.removeAll(es.stationSet)) { // There was an intersection, so use all of these stations, then ignore this one for later unifiedStationSet.addAll(es.stationSet); walker.remove(); } } } } while (lastSetSize != unifiedStationSet.size() && !tryUs.isEmpty()); long defaultStartPadding = Sage.getLong("default_mr_start_padding", 0); long defaultStopPadding = Sage.getLong("default_mr_stop_padding", 0); long requestedStart = recAir.getStartTime() - defaultStartPadding; long requestedStop = recAir.getEndTime() + defaultStopPadding; long requestedDuration = requestedStop - requestedStart; Airing schedAir = recAir; if (defaultStartPadding != 0 || defaultStopPadding != 0) { schedAir = new Airing(0); schedAir.time = requestedStart; schedAir.duration = requestedDuration; schedAir.stationID = recAir.stationID; schedAir.showID = recAir.showID; } Vector parallelRecords = new Vector(); Vector lastParallel = null; do { parallelRecords.clear(); ManualRecord[] manualMustSee = wiz.getManualRecordsSortedByTime(); Vector parallelRecurs = new Vector(); for (int i = 0; i < manualMustSee.length; i++) { ManualRecord currRec = manualMustSee[i]; if (currRec.getContentAiring() == recAir) return VideoFrame.WATCH_OK; if (currRec.getEndTime() <= Sage.time()) continue; if (currRec.doRecurrencesOverlap(requestedStart, requestedDuration, 0)) { parallelRecords.addElement(manualMustSee[i].getSchedulingAiring()); if (currRec.recur != 0) parallelRecurs.add(currRec); else parallelRecurs.add(null); } } if (parallelRecords.isEmpty()) break; parallelRecords.addElement(schedAir); parallelRecurs.add(null); if (sched.testMultiTunerSchedulingPermutation(parallelRecords)) break; // Remove any recurrence duplicates from the parallel list that is presented to the user for (int i = 0; i < parallelRecurs.size(); i++) { ManualRecord currRecur = parallelRecurs.get(i); if (currRecur == null) continue; for (int j = 0; j < parallelRecords.size(); j++) { if (i == j || parallelRecurs.get(j) == null) continue; ManualRecord otherRecur = parallelRecurs.get(j); if (currRecur.stationID == otherRecur.stationID && currRecur.duration == otherRecur.duration && currRecur.recur == otherRecur.recur && currRecur.isSameRecurrence(otherRecur.startTime)) { parallelRecurs.remove(j); parallelRecords.remove(j); j--; } } } // Conflict exists, we need to kill a recording that's on an encoder that's capable // of recording this // Conflict resolution, ask about what you're going to kill parallelRecords.remove(schedAir); // Remove any items from the conflict options that would not end up in station set overlap either directly or indirectly for (int i = 0; i < parallelRecords.size(); i++) if (!unifiedStationSet.contains(parallelRecords.get(i).stationID)) parallelRecords.remove(i--); // If we have the same conflicts as when we just checked, then bail. Most likely they // aren't processing the Hook correctly and we'll be in an infinite loop. if (lastParallel != null && parallelRecords.equals(lastParallel)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; Object hookRes = (uiClient == null) ? null : uiClient.processUIClientHook("RecordRequestScheduleConflict", new Object[] { recAir, parallelRecords }); if (!(hookRes instanceof Boolean) || !((Boolean) hookRes)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; lastParallel = new Vector(parallelRecords); } while (true); ManualRecord newMR; if (schedAir.getStartTime() < Sage.time()) { int[] errorReturn = new int[1]; EncoderState es = findBestEncoderForNow(schedAir, true, uiClient, errorReturn); if (es == null) { if (errorReturn[0] == 0) errorReturn[0] = VideoFrame.WATCH_FAILED_GENERAL_CANT_FIND_ENCODER; return errorReturn[0]; } synchronized (this) { es = checkForFoundBestEncoderNowRecordSwitch(es, recAir); // Set the acquisition state to manual if it has already started recording MediaFile mf = wiz.getFileForAiring(recAir); if (mf != null) mf.setAcquisitionTech(MediaFile.ACQUISITION_MANUAL); newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); es.forceWatch = newMR.getSchedulingAiring(); es.forceProcessed = false; work(); } } else newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); PluginEventManager.postEvent(PluginEventManager.MANUAL_RECORD_ADDED, new Object[] { PluginEventManager.VAR_AIRING, newMR.getSchedulingAiring() }); return VideoFrame.WATCH_OK; }	long method	Long method2 Feature envy3 Primitive obsession4 Inefficient looping5 Inconsistent naming conventions 6 Lack of encapsulation/modularity 7 Inconsistent use of synchronized blocks 8 Complex conditional statements within loops 9 Use of break/continue statements	t	f	t			0	11563	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Seeker.java/#L5483-L5646	2	1647	11563
1179	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	Long method2 Feature envy	t	f	t			0	10227	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	2	1179	10227
4086	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Switch statement with multiple cases 4. Use of synpred33_InternalXbaseWithAnnotations() method for multiple if conditions 5. Multiple nested if statements 6. Use of input.LA() and input.index() methods multiple times 7. Use of input.rewind() method multiple times 8. Lack of proper naming conventions for variables and methods 9. Duplicate code within cases 1 and 2 10. Unclear and confusing method description and functionality.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	Long method2 Feature envy3 Switch statement with multiple cases4 Use of synpred33_InternalXbaseWithAnnotations() method for multiple if conditions 5 Multiple nested if statements 6 Use of inputLA() and inputindex() methods multiple times 7 Use of inputrewind() method multiple times 8 Lack of proper naming conventions for variables and methods 9 Duplicate code within cases	t	f	t			0	10775	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	2	4086	10775
5777	YES I found bad smells the bad smells are: 1. Long Method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	Long Method	t	f	t			0	15213	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	1	5777	15213
755	{ "message": "YES I found bad smells", "bad smells are": [ "Blob", "Data Class", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected MqttDeliveryToken restoreToken(MqttPublish message) { final String methodName = "restoreToken"; MqttDeliveryToken token; synchronized(tokens) { String key = Integer.toString(message.getMessageId()); if (this.tokens.containsKey(key)) { token = (MqttDeliveryToken)this.tokens.get(key); //@TRACE 302=existing key={0} message={1} token={2} log.fine(CLASS_NAME,methodName, "302",new Object[]{key, message,token}); } else { token = new MqttDeliveryToken(logContext); token.internalTok.setKey(key); this.tokens.put(key, token); //@TRACE 303=creating new token key={0} message={1} token={2} log.fine(CLASS_NAME,methodName,"303",new Object[]{key, message, token}); } } return token; }	long method	blob, data class, long method	t	t	t	blob, data class		0	7047	https://github.com/eclipse/paho.mqtt.java/blob/5af7b53499e7dbe45b7227b3d41fc870089c0033/org.eclipse.paho.client.mqttv3/src/main/java/org/eclipse/paho/client/mqttv3/internal/CommsTokenStore.java/#L108-L126	1	755	7047
1817	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	12088	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	1	1817	12088
1897	"Yes, I found bad smells. The bad smells are: Feature envy, long method."	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Implementation(minSdk = LOLLIPOP) @HiddenApi protected static void nativeGetPointerCoords( long nativePtr, int pointerIndex, int historyPos, PointerCoords outPointerCoordsObj) { NativeInput.MotionEvent event = getNativeMotionEvent(nativePtr); int pointerCount = event.getPointerCount(); validatePointerIndex(pointerIndex, pointerCount); validatePointerCoords(outPointerCoordsObj); NativeInput.PointerCoords rawPointerCoords; if (historyPos == HISTORY_CURRENT) { rawPointerCoords = event.getRawPointerCoords(pointerIndex); } else { int historySize = event.getHistorySize(); validateHistoryPos(historyPos, historySize); rawPointerCoords = event.getHistoricalRawPointerCoords(pointerIndex, historyPos); } pointerCoordsFromNative( rawPointerCoords, event.getXOffset(), event.getYOffset(), outPointerCoordsObj); }	long method	Feature envy, long method"	t	f	t	Feature envy		0	12341	https://github.com/robolectric/robolectric/blob/525bfcfc0e0ed1653ad57341b564c6857e11dc50/shadows/framework/src/main/java/org/robolectric/shadows/ShadowMotionEvent.java/#L386-L405	2	1897	12341
579	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Map tika_parse(InputStream sourceStream, String prefix, Integer maxAttribs, Integer maxAttribLen) throws IOException, TikaException, SAXException { final Metadata metadata = new Metadata(); final TikaInputStream tikaInputStream = TikaInputStream.get(sourceStream); try { autoDetectParser.parse(tikaInputStream, new DefaultHandler(), metadata); } finally { tikaInputStream.close(); } final Map results = new HashMap<>(); final Pattern metadataKeyFilter = metadataKeyFilterRef.get(); final StringBuilder dataBuilder = new StringBuilder(); for (final String key : metadata.names()) { if (metadataKeyFilter != null && !metadataKeyFilter.matcher(key).matches()) { continue; } dataBuilder.setLength(0); if (metadata.isMultiValued(key)) { for (String val : metadata.getValues(key)) { if (dataBuilder.length() > 1) { dataBuilder.append(", "); } if (dataBuilder.length() + val.length() < maxAttribLen) { dataBuilder.append(val); } else { dataBuilder.append("..."); break; } } } else { dataBuilder.append(metadata.get(key)); } if (prefix == null) { results.put(key, dataBuilder.toString().trim()); } else { results.put(prefix + key, dataBuilder.toString().trim()); } // cutoff at max if provided if (maxAttribs != null && results.size() >= maxAttribs) { break; } } return results; }	long method	long method, data class	t	t	t	data class		0	5784	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-media-bundle/nifi-media-processors/src/main/java/org/apache/nifi/processors/media/ExtractMediaMetadata.java/#L210-L255	1	579	5784
1537	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public BindStatus(RequestContext requestContext, String path, boolean htmlEscape) throws IllegalStateException { this.requestContext = requestContext; this.path = path; this.htmlEscape = htmlEscape; // determine name of the object and property String beanName; int dotPos = path.indexOf('.'); if (dotPos == -1) { // property not set, only the object itself beanName = path; this.expression = null; } else { beanName = path.substring(0, dotPos); this.expression = path.substring(dotPos + 1); } this.errors = requestContext.getErrors(beanName, false); if (this.errors != null) { // Usual case: A BindingResult is available as request attribute. // Can determine error codes and messages for the given expression. // Can use a custom PropertyEditor, as registered by a form controller. if (this.expression != null) { if ("*".equals(this.expression)) { this.objectErrors = this.errors.getAllErrors(); } else if (this.expression.endsWith("*")) { this.objectErrors = this.errors.getFieldErrors(this.expression); } else { this.objectErrors = this.errors.getFieldErrors(this.expression); this.value = this.errors.getFieldValue(this.expression); this.valueType = this.errors.getFieldType(this.expression); if (this.errors instanceof BindingResult) { this.bindingResult = (BindingResult) this.errors; this.actualValue = this.bindingResult.getRawFieldValue(this.expression); this.editor = this.bindingResult.findEditor(this.expression, null); } else { this.actualValue = this.value; } } } else { this.objectErrors = this.errors.getGlobalErrors(); } this.errorCodes = initErrorCodes(this.objectErrors); } else { // No BindingResult available as request attribute: // Probably forwarded directly to a form view. // Let's do the best we can: extract a plain target if appropriate. Object target = requestContext.getModelObject(beanName); if (target == null) { throw new IllegalStateException("Neither BindingResult nor plain target object for bean name '" + beanName + "' available as request attribute"); } if (this.expression != null && !"*".equals(this.expression) && !this.expression.endsWith("*")) { BeanWrapper bw = PropertyAccessorFactory.forBeanPropertyAccess(target); this.value = bw.getPropertyValue(this.expression); this.valueType = bw.getPropertyType(this.expression); this.actualValue = this.value; } this.errorCodes = new String[0]; this.errorMessages = new String[0]; } if (htmlEscape && this.value instanceof String) { this.value = HtmlUtils.htmlEscape((String) this.value); } }	long method	Long method2 Feature envy	t	f	t			0	11223	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-webmvc/src/main/java/org/springframework/web/servlet/support/BindStatus.java/#L96-L169	2	1537	11223
2203	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static byte[] encodeBase64(byte[] binaryData, boolean isChunked) { int lengthDataBits = binaryData.length * EIGHTBIT; int fewerThan24bits = lengthDataBits % TWENTYFOURBITGROUP; int numberTriplets = lengthDataBits / TWENTYFOURBITGROUP; byte encodedData[] = null; int encodedDataLength = 0; int nbrChunks = 0; if (fewerThan24bits != 0) { //data not divisible by 24 bit encodedDataLength = (numberTriplets + 1) * 4; } else { // 16 or 8 bit encodedDataLength = numberTriplets * 4; } // If the output is to be "chunked" into 76 character sections, // for compliance with RFC 2045 MIME, then it is important to // allow for extra length to account for the separator(s) if (isChunked) { nbrChunks = (CHUNK_SEPARATOR.length == 0 ? 0 : (int)Math.ceil((float)encodedDataLength / CHUNK_SIZE)); encodedDataLength += nbrChunks * CHUNK_SEPARATOR.length; } encodedData = new byte[encodedDataLength]; byte k = 0, l = 0, b1 = 0, b2 = 0, b3 = 0; int encodedIndex = 0; int dataIndex = 0; int i = 0; int nextSeparatorIndex = CHUNK_SIZE; int chunksSoFar = 0; //log.debug("number of triplets = " + numberTriplets); for (i = 0; i < numberTriplets; i++) { dataIndex = i * 3; b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; b3 = binaryData[dataIndex + 2]; //log.debug("b1= " + b1 +", b2= " + b2 + ", b3= " + b3); l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); byte val3 = ((b3 & SIGN) == 0) ? (byte)(b3 >> 6) : (byte)((b3) >> 6 ^ 0xfc); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; //log.debug( "val2 = " + val2 ); //log.debug( "k4 = " + (k<<4) ); //log.debug( "vak = " + (val2 | (k<<4)) ); encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[(l << 2) | val3]; encodedData[encodedIndex + 3] = lookUpBase64Alphabet[b3 & 0x3f]; encodedIndex += 4; // If we are chunking, let's put a chunk separator down. if (isChunked) { // this assumes that CHUNK_SIZE % 4 == 0 if (encodedIndex == nextSeparatorIndex) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedIndex, CHUNK_SEPARATOR.length); chunksSoFar++; nextSeparatorIndex = (CHUNK_SIZE * (chunksSoFar + 1)) + (chunksSoFar * CHUNK_SEPARATOR.length); encodedIndex += CHUNK_SEPARATOR.length; } } } // form integral number of 6-bit groups dataIndex = i * 3; if (fewerThan24bits == EIGHTBIT) { b1 = binaryData[dataIndex]; k = (byte)(b1 & 0x03); //log.debug("b1=" + b1); //log.debug("b1<<2 = " + (b1>>2) ); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[k << 4]; encodedData[encodedIndex + 2] = PAD; encodedData[encodedIndex + 3] = PAD; } else if (fewerThan24bits == SIXTEENBIT) { b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[l << 2]; encodedData[encodedIndex + 3] = PAD; } if (isChunked) { // we also add a separator to the end of the final chunk. if (chunksSoFar < nbrChunks) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedDataLength - CHUNK_SEPARATOR.length, CHUNK_SEPARATOR.length); } } return encodedData; }	long method	long method, data class	t	t	t	data class		0	13507	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/mosgi/jmx.agent/src/main/java/org/apache/felix/mosgi/jmx/agent/mx4j/util/Base64Codec.java/#L218-L377	1	2203	13507
1590	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Provider createProvider(URI remoteURI, ProviderFutureFactory futureFactory) throws Exception { CompositeData composite = URISupport.parseComposite(remoteURI); Map options = composite.getParameters(); Map filtered = PropertyUtil.filterProperties(options, FAILOVER_OPTION_PREFIX); Map nested = PropertyUtil.filterProperties(filtered, FAILOVER_NESTED_OPTION_PREFIX_ADDON); Map providerOptions = PropertyUtil.filterProperties(options, "provider."); // If we have been given a futures factory to use then we ignore any URI options indicating // what to create and just go with what we are given. if (futureFactory == null) { // Create a configured ProviderFutureFactory for use by the resulting AmqpProvider futureFactory = ProviderFutureFactory.create(providerOptions); if (!providerOptions.isEmpty()) { String msg = "" + " Not all Provider options could be applied during Failover Provider creation." + " Check the options are spelled correctly." + " Unused parameters=[" + providerOptions + "]." + " This provider instance cannot be started."; throw new IllegalArgumentException(msg); } } FailoverProvider provider = new FailoverProvider(composite.getComponents(), nested, futureFactory); Map unused = PropertyUtil.setProperties(provider, filtered); if (!unused.isEmpty()) { String msg = "" + " Not all options could be set on the Failover provider." + " Check the options are spelled correctly." + " Unused parameters=[" + unused + "]." + " This Provider cannot be started."; throw new IllegalArgumentException(msg); } return provider; }	long method	Long method2 Feature envy	t	f	t			0	11387	https://github.com/apache/qpid-jms/blob/59f62b111687072fad3302fb4c6f91a389b4c0e6/qpid-jms-client/src/main/java/org/apache/qpid/jms/provider/failover/FailoverProviderFactory.java/#L49-L85	2	1590	11387
1322	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	long method	t	t	t			0	10699	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	1	1322	10699
4088	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static Predicate isUnix() { return new Predicate() { @Override public boolean apply(OperatingSystem os) { if (os.getFamily() != null) { switch (os.getFamily()) { case WINDOWS: return false; } } for (String toMatch : searchStrings(os)) if (toMatch != null && toMatch.toLowerCase().indexOf("windows") != -1) return false; return true; } @Override public String toString() { return "isUnix()"; } }; }	long method	long method	t	t	t			0	10777	https://github.com/apache/jclouds/blob/c2670079fabe74f163f43fbade0866469f7a84ec/compute/src/main/java/org/jclouds/compute/predicates/OperatingSystemPredicates.java/#L38-L59	1	4088	10777
5713	{ "answer": "YES I found bad smells", "bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("try") private void doRun(Map entryPoints, Method mainEntryPoint, JavaMainSupport javaMainSupport, String imageName, AbstractBootImage.NativeImageKind k, SubstitutionProcessor harnessSubstitutions, ForkJoinPool compilationExecutor, ForkJoinPool analysisExecutor) { List hostedEntryPoints = new ArrayList<>(); OptionValues options = HostedOptionValues.singleton(); SnippetReflectionProvider originalSnippetReflection = GraalAccess.getOriginalSnippetReflection(); try (DebugContext debug = DebugContext.create(options, new GraalDebugHandlersFactory(originalSnippetReflection))) { setupNativeImage(imageName, options, entryPoints, javaMainSupport, harnessSubstitutions, analysisExecutor, originalSnippetReflection, debug); boolean returnAfterAnalysis = runPointsToAnalysis(imageName, options, debug); if (returnAfterAnalysis) { return; } NativeImageHeap heap; HostedMethod mainEntryPointHostedStub; HostedMetaAccess hMetaAccess; SharedRuntimeConfigurationBuilder runtime; try (StopTimer t = new Timer(imageName, "universe").start()) { hUniverse = new HostedUniverse(bigbang); hMetaAccess = new HostedMetaAccess(hUniverse, bigbang.getMetaAccess()); new UniverseBuilder(aUniverse, bigbang.getMetaAccess(), hUniverse, hMetaAccess, HostedConfiguration.instance().createStaticAnalysisResultsBuilder(bigbang, hUniverse), bigbang.getUnsupportedFeatures()).build(debug); runtime = new HostedRuntimeConfigurationBuilder(options, bigbang.getHostVM(), hUniverse, hMetaAccess, bigbang.getProviders()).build(); registerGraphBuilderPlugins(featureHandler, runtime.getRuntimeConfig(), (HostedProviders) runtime.getRuntimeConfig().getProviders(), bigbang.getMetaAccess(), aUniverse, hMetaAccess, hUniverse, nativeLibraries, loader, false, true, bigbang.getAnnotationSubstitutionProcessor(), new SubstrateClassInitializationPlugin((SVMHost) aUniverse.hostVM()), bigbang.getHostVM().getClassInitializationSupport()); if (NativeImageOptions.PrintUniverse.getValue()) { printTypes(); } /* Find the entry point methods in the hosted world. */ for (AnalysisMethod m : aUniverse.getMethods()) { if (m.isEntryPoint()) { HostedMethod found = hUniverse.lookup(m); assert found != null; hostedEntryPoints.add(found); } } /* Find main entry point */ if (mainEntryPoint != null) { AnalysisMethod analysisStub = CEntryPointCallStubSupport.singleton().getStubForMethod(mainEntryPoint); mainEntryPointHostedStub = (HostedMethod) hMetaAccess.getUniverse().lookup(analysisStub); assert hostedEntryPoints.contains(mainEntryPointHostedStub); } else { mainEntryPointHostedStub = null; } if (hostedEntryPoints.size() == 0) { throw UserError.abort("Warning: no entry points found, i.e., no method annotated with @" + CEntryPoint.class.getSimpleName()); } heap = new NativeImageHeap(aUniverse, hUniverse, hMetaAccess); BeforeCompilationAccessImpl config = new BeforeCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.beforeCompilation(config)); bigbang.getUnsupportedFeatures().report(bigbang); } catch (UnsupportedFeatureException ufe) { throw UserError.abort(ufe.getMessage()); } recordMethodsWithStackValues(); recordRestrictHeapAccessCallees(aUniverse.getMethods()); /* * After this point, all TypeFlow (and therefore also TypeState) objects are unreachable * and can be garbage collected. This is important to keep the overall memory footprint * low. However, this also means we no longer have complete call chain information. Only * the summarized information stored in the StaticAnalysisResult objects is available * after this point. */ bigbang.cleanupAfterAnalysis(); NativeImageCodeCache codeCache; CompileQueue compileQueue; try (StopTimer t = new Timer(imageName, "compile").start()) { compileQueue = HostedConfiguration.instance().createCompileQueue(debug, featureHandler, hUniverse, runtime, DeoptTester.enabled(), bigbang.getProviders().getSnippetReflection(), compilationExecutor); compileQueue.finish(debug); /* release memory taken by graphs for the image writing */ hUniverse.getMethods().forEach(HostedMethod::clear); codeCache = NativeImageCodeCacheFactory.get().newCodeCache(compileQueue, heap); codeCache.layoutConstants(); codeCache.layoutMethods(debug, imageName); AfterCompilationAccessImpl config = new AfterCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.afterCompilation(config)); } try (Indent indent = debug.logAndIndent("create native image")) { try (DebugContext.Scope buildScope = debug.scope("CreateBootImage")) { try (StopTimer t = new Timer(imageName, "image").start()) { // Start building the model of the native image heap. heap.addInitialObjects(); // Then build the model of the code cache, which can // add objects to the native image heap. codeCache.addConstantsToHeap(); // Finish building the model of the native image heap. heap.addTrailingObjects(); AfterHeapLayoutAccessImpl config = new AfterHeapLayoutAccessImpl(featureHandler, loader, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.afterHeapLayout(config)); this.image = AbstractBootImage.create(k, hUniverse, hMetaAccess, nativeLibraries, heap, codeCache, hostedEntryPoints, mainEntryPointHostedStub, loader.getClassLoader()); image.build(debug); if (NativeImageOptions.PrintUniverse.getValue()) { /* * This debug output must be printed _after_ and not _during_ image * building, because it adds some PrintStream objects to static fields, * which disrupts the heap. */ codeCache.printCompilationResults(); } } } } BeforeImageWriteAccessImpl beforeConfig = new BeforeImageWriteAccessImpl(featureHandler, loader, imageName, image, runtime.getRuntimeConfig(), aUniverse, hUniverse, optionProvider, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.beforeImageWrite(beforeConfig)); try (StopTimer t = new Timer(imageName, "write").start()) { /* * This will write the debug info too -- i.e. we may be writing more than one file, * if the debug info is in a separate file. We need to push writing the file to the * image implementation, because whether the debug info and image share a file or * not is an implementation detail of the image. */ Path tmpDir = tempDirectory(); Path imagePath = image.write(debug, generatedFiles(HostedOptionValues.singleton()), tmpDir, imageName, beforeConfig).getOutputFile(); AfterImageWriteAccessImpl afterConfig = new AfterImageWriteAccessImpl(featureHandler, loader, hUniverse, imagePath, tmpDir, image.getBootImageKind(), debug); featureHandler.forEachFeature(feature -> feature.afterImageWrite(afterConfig)); } } }	long method	long method, feature envy	t	t	t	feature envy		0	12782	https://github.com/oracle/graal/blob/4deb681aaaa79c248115037fc8e399c9876619fd/substratevm/src/com.oracle.svm.hosted/src/com/oracle/svm/hosted/NativeImageGenerator.java/#L487-L632	2	5713	12782
1923	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: void setStackMap(StackMapTable_attribute attr) { if (attr == null) { map = null; return; } Method m = classWriter.getMethod(); Descriptor d = m.descriptor; String[] args; try { ConstantPool cp = classWriter.getClassFile().constant_pool; String argString = d.getParameterTypes(cp); args = argString.substring(1, argString.length() - 1).split("[, ]+"); } catch (ConstantPoolException | InvalidDescriptor e) { return; } boolean isStatic = m.access_flags.is(AccessFlags.ACC_STATIC); verification_type_info[] initialLocals = new verification_type_info[(isStatic ? 0 : 1) + args.length]; if (!isStatic) initialLocals[0] = new CustomVerificationTypeInfo("this"); for (int i = 0; i < args.length; i++) { initialLocals[(isStatic ? 0 : 1) + i] = new CustomVerificationTypeInfo(args[i].replace(".", "/")); } map = new HashMap<>(); StackMapBuilder builder = new StackMapBuilder(); // using -1 as the pc for the initial frame effectively compensates for // the difference in behavior for the first stack map frame (where the // pc offset is just offset_delta) compared to subsequent frames (where // the pc offset is always offset_delta+1). int pc = -1; map.put(pc, new StackMap(initialLocals, empty)); for (int i = 0; i < attr.entries.length; i++) pc = attr.entries[i].accept(builder, pc); }	long method	long method	t	t	t			0	12426	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.jdeps/share/classes/com/sun/tools/javap/StackMapWriter.java/#L72-L111	1	1923	12426
1845	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy, 3. Indecent Exposure, 4. Drill-down, 5. Inappropriate Intimacy, 6. Temporary Field, 7. Large Class	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	Long method, 2 Feature envy, 3 Indecent Exposure, 4 Drill-down, 5 Inappropriate Intimacy, 6 Temporary Field, 7 Large Class	t	f	t	2. Feature envy, 3. Indecent Exposure, 4. Drill-down, 5. Inappropriate Intimacy, 6. Temporary Field, 7. Large Class		0	12164	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	2	1845	12164
1076	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Commented out code 4. Hard-coded string values 5. Nested looping 6. Duplicate code 7. Use of mutable data types without proper synchronization	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void configure(Context context) { this.headerName = context.getString(CONFIG_MULTIPLEX_HEADER_NAME, DEFAULT_MULTIPLEX_HEADER); Map channelNameMap = getChannelNameMap(); defaultChannels = getChannelListFromNames( context.getString(CONFIG_DEFAULT_CHANNEL), channelNameMap); Map mapConfig = context.getSubProperties(CONFIG_PREFIX_MAPPING); channelMapping = new HashMap>(); for (String headerValue : mapConfig.keySet()) { List configuredChannels = getChannelListFromNames( mapConfig.get(headerValue), channelNameMap); //This should not go to default channel(s) //because this seems to be a bad way to configure. if (configuredChannels.size() == 0) { throw new FlumeException("No channel configured for when " + "header value is: " + headerValue); } if (channelMapping.put(headerValue, configuredChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } //If no mapping is configured, it is ok. //All events will go to the default channel(s). Map optionalChannelsMapping = context.getSubProperties(CONFIG_PREFIX_OPTIONAL + "."); optionalChannels = new HashMap>(); for (String hdr : optionalChannelsMapping.keySet()) { List confChannels = getChannelListFromNames( optionalChannelsMapping.get(hdr), channelNameMap); if (confChannels.isEmpty()) { confChannels = EMPTY_LIST; } //Remove channels from optional channels, which are already //configured to be required channels. List reqdChannels = channelMapping.get(hdr); //Check if there are required channels, else defaults to default channels if (reqdChannels == null || reqdChannels.isEmpty()) { reqdChannels = defaultChannels; } for (Channel c : reqdChannels) { if (confChannels.contains(c)) { confChannels.remove(c); } } if (optionalChannels.put(hdr, confChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } }	long method	Long method2 Feature envy3 Commented out code4 Hard-coded string values5 Nested looping6 Duplicate code7 Use of mutable data types without proper synchronization	t	f	t			0	9643	https://github.com/apache/flume/blob/7d3396f26dc1541e9d2a540d50d15a15c38acb74/flume-ng-core/src/main/java/org/apache/flume/channel/MultiplexingChannelSelector.java/#L83-L145	2	1076	9643
2042	{ "output": "YES I found bad smells the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: final protected Node internalRemoveNamedItemNS(String namespaceURI, String name, boolean raiseEx) { CoreDocumentImpl ownerDocument = ownerNode.ownerDocument(); if (ownerDocument.errorChecking && isReadOnly()) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NO_MODIFICATION_ALLOWED_ERR", null); throw new DOMException(DOMException.NO_MODIFICATION_ALLOWED_ERR, msg); } int i = findNamePoint(namespaceURI, name); if (i < 0) { if (raiseEx) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NOT_FOUND_ERR", null); throw new DOMException(DOMException.NOT_FOUND_ERR, msg); } else { return null; } } AttrImpl n = (AttrImpl)nodes.get(i); if (n.isIdAttribute()) { ownerDocument.removeIdentifier(n.getValue()); } // If there's a default, add it instead String nodeName = n.getNodeName(); if (hasDefaults()) { NamedNodeMapImpl defaults = ((ElementImpl) ownerNode).getDefaultAttributes(); Node d; if (defaults != null && (d = defaults.getNamedItem(nodeName)) != null) { int j = findNamePoint(nodeName,0); if (j>=0 && findNamePoint(nodeName, j+1) < 0) { NodeImpl clone = (NodeImpl)d.cloneNode(true); clone.ownerNode = ownerNode; if (d.getLocalName() != null) { // we must rely on the name to find a default attribute // ("test:attr"), but while copying it from the DOCTYPE // we should not loose namespace URI that was assigned // to the attribute in the instance document. ((AttrNSImpl)clone).namespaceURI = namespaceURI; } clone.isOwned(true); clone.isSpecified(false); nodes.set(i, clone); if (clone.isIdAttribute()) { ownerDocument.putIdentifier(clone.getNodeValue(), (ElementImpl)ownerNode); } } else { nodes.remove(i); } } else { nodes.remove(i); } } else { nodes.remove(i); } // changed(true); // remove reference to owner n.ownerNode = ownerDocument; n.isOwned(false); // make sure it won't be mistaken with defaults in case it's // reused n.isSpecified(true); // update id table if needed n.isIdAttribute(false); // notify document ownerDocument.removedAttrNode(n, ownerNode, name); return n; } // internalRemoveNamedItemNS(String,String,boolean):Node	long method	1. long method	t	t	t			0	12854	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/dom/AttributeMap.java/#L391-L467	1	2042	12854
119	{ "message": "YES I found bad smells", "bad smells are": ["1. Long method", "2. Feature envy"] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public BindStatus(RequestContext requestContext, String path, boolean htmlEscape) throws IllegalStateException { this.requestContext = requestContext; this.path = path; this.htmlEscape = htmlEscape; // determine name of the object and property String beanName; int dotPos = path.indexOf('.'); if (dotPos == -1) { // property not set, only the object itself beanName = path; this.expression = null; } else { beanName = path.substring(0, dotPos); this.expression = path.substring(dotPos + 1); } this.errors = requestContext.getErrors(beanName, false); if (this.errors != null) { // Usual case: A BindingResult is available as request attribute. // Can determine error codes and messages for the given expression. // Can use a custom PropertyEditor, as registered by a form controller. if (this.expression != null) { if ("*".equals(this.expression)) { this.objectErrors = this.errors.getAllErrors(); } else if (this.expression.endsWith("*")) { this.objectErrors = this.errors.getFieldErrors(this.expression); } else { this.objectErrors = this.errors.getFieldErrors(this.expression); this.value = this.errors.getFieldValue(this.expression); this.valueType = this.errors.getFieldType(this.expression); if (this.errors instanceof BindingResult) { this.bindingResult = (BindingResult) this.errors; this.actualValue = this.bindingResult.getRawFieldValue(this.expression); this.editor = this.bindingResult.findEditor(this.expression, null); } else { this.actualValue = this.value; } } } else { this.objectErrors = this.errors.getGlobalErrors(); } this.errorCodes = initErrorCodes(this.objectErrors); } else { // No BindingResult available as request attribute: // Probably forwarded directly to a form view. // Let's do the best we can: extract a plain target if appropriate. Object target = requestContext.getModelObject(beanName); if (target == null) { throw new IllegalStateException("Neither BindingResult nor plain target object for bean name '" + beanName + "' available as request attribute"); } if (this.expression != null && !"*".equals(this.expression) && !this.expression.endsWith("*")) { BeanWrapper bw = PropertyAccessorFactory.forBeanPropertyAccess(target); this.value = bw.getPropertyValue(this.expression); this.valueType = bw.getPropertyType(this.expression); this.actualValue = this.value; } this.errorCodes = new String[0]; this.errorMessages = new String[0]; } if (htmlEscape && this.value instanceof String) { this.value = HtmlUtils.htmlEscape((String) this.value); } }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	1514	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-webmvc/src/main/java/org/springframework/web/servlet/support/BindStatus.java/#L96-L169	2	119	1514
4181	YES I found bad smells. The bad smells are: 1. Long method 2. Magic number (the use of specific numbers without explanation) 3. Duplicate code (the repeated switch statement)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Serializable getRoutingObject(EntryOperation opDetails) { Date date = (Date) opDetails.getKey(); Calendar cal = Calendar.getInstance(); cal.setTime(date); int month = cal.get(Calendar.MONTH); // if(true){ // return month; // } switch (month) { case 0: return "January"; case 1: return "February"; case 2: return "March"; case 3: return "April"; case 4: return "May"; case 5: return "June"; case 6: return "July"; case 7: return "August"; case 8: return "September"; case 9: return "October"; case 10: return "November"; case 11: return "December"; default: return null; } }	long method	Long method2 Magic number (the use of specific numbers without explanation)3 Duplicate code (the repeated switch statement)	t	f	t			0	11002	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/distributedTest/java/org/apache/geode/internal/cache/partitioned/fixed/SingleHopQuarterPartitionResolver.java/#L69-L107	2	4181	11002
2518	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static void main(String[] args) throws IOException { try (XSSFWorkbook wb = new XSSFWorkbook()) { XSSFSheet sheet = wb.createSheet("linechart"); final int NUM_OF_ROWS = 3; final int NUM_OF_COLUMNS = 10; // Create a row and put some cells in it. Rows are 0 based. Row row; Cell cell; for (int rowIndex = 0; rowIndex < NUM_OF_ROWS; rowIndex++) { row = sheet.createRow((short) rowIndex); for (int colIndex = 0; colIndex < NUM_OF_COLUMNS; colIndex++) { cell = row.createCell((short) colIndex); cell.setCellValue(colIndex * (rowIndex + 1.0)); } } XSSFDrawing drawing = sheet.createDrawingPatriarch(); XSSFClientAnchor anchor = drawing.createAnchor(0, 0, 0, 0, 0, 5, 10, 15); XSSFChart chart = drawing.createChart(anchor); XDDFChartLegend legend = chart.getOrAddLegend(); legend.setPosition(LegendPosition.TOP_RIGHT); // Use a category axis for the bottom axis. XDDFCategoryAxis bottomAxis = chart.createCategoryAxis(AxisPosition.BOTTOM); bottomAxis.setTitle("x"); // https://stackoverflow.com/questions/32010765 XDDFValueAxis leftAxis = chart.createValueAxis(AxisPosition.LEFT); leftAxis.setTitle("f(x)"); leftAxis.setCrosses(AxisCrosses.AUTO_ZERO); XDDFDataSource xs = XDDFDataSourcesFactory.fromNumericCellRange(sheet, new CellRangeAddress(0, 0, 0, NUM_OF_COLUMNS - 1)); XDDFNumericalDataSource ys1 = XDDFDataSourcesFactory.fromNumericCellRange(sheet, new CellRangeAddress(1, 1, 0, NUM_OF_COLUMNS - 1)); XDDFNumericalDataSource ys2 = XDDFDataSourcesFactory.fromNumericCellRange(sheet, new CellRangeAddress(2, 2, 0, NUM_OF_COLUMNS - 1)); XDDFLineChartData data = (XDDFLineChartData) chart.createData(ChartTypes.LINE, bottomAxis, leftAxis); XDDFLineChartData.Series series1 = (XDDFLineChartData.Series) data.addSeries(xs, ys1); series1.setTitle("2x", null); // https://stackoverflow.com/questions/21855842 series1.setSmooth(false); // https://stackoverflow.com/questions/29014848 series1.setMarkerStyle(MarkerStyle.STAR); // https://stackoverflow.com/questions/39636138 XDDFLineChartData.Series series2 = (XDDFLineChartData.Series) data.addSeries(xs, ys2); series2.setTitle("3x", null); series2.setSmooth(true); series2.setMarkerSize((short) 6); series2.setMarkerStyle(MarkerStyle.TRIANGLE); // https://stackoverflow.com/questions/39636138 chart.plot(data); // if your series have missing values like https://stackoverflow.com/questions/29014848 // chart.displayBlanksAs(DisplayBlanks.GAP); // https://stackoverflow.com/questions/24676460 solidLineSeries(data, 0, PresetColor.CHARTREUSE); solidLineSeries(data, 1, PresetColor.TURQUOISE); // Write the output to a file try (FileOutputStream fileOut = new FileOutputStream("ooxml-line-chart.xlsx")) { wb.write(fileOut); } } }	long method	long method, data class	t	t	t	data class		0	14704	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/examples/src/org/apache/poi/xssf/usermodel/examples/LineChart.java/#L54-L113	1	2518	14704
1619	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private EntityCollection createETStreamOnComplexProp(Edm edm, OData odata) { EntityCollection entityCollection = new EntityCollection(); Link readLink = new Link(); readLink.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink.setHref("readLink"); Entity entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("darkturquoise"))); readLink.setInlineEntity(entity); Link readLink1 = new Link(); readLink1.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink1.setHref("readLink"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("darkturquoise"))); readLink1.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", Short.MAX_VALUE)) .addProperty(createPrimitive("PropertyInt32", Integer.MAX_VALUE)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, readLink1)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, readLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); Link editLink = new Link(); editLink.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink.setHref("http://mediaserver:1234/editLink"); editLink.setMediaETag("eTag"); editLink.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("royalblue"))); editLink.setInlineEntity(entity); Link editLink2 = new Link(); editLink2.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink2.setHref("http://mediaserver:1234/editLink"); editLink2.setMediaETag("eTag"); editLink2.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("royalblue"))); editLink2.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", (short) 7)) .addProperty(createPrimitive("PropertyInt32", (Integer) 10)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, editLink2)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, editLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); setEntityType(entityCollection, edm.getEntityType(EntityTypeProvider.nameETStreamOnComplexProp)); createEntityId(edm, odata, "ESStreamOnComplexProp", entityCollection); createOperations("ESStreamOnComplexProp", entityCollection, EntityTypeProvider.nameETStreamOnComplexProp); return entityCollection; }	long method	Long Method, Data Class	t	f	t	Data Class		0	11477	https://github.com/apache/olingo-odata4/blob/f344a3c565b6a67233de1d1169104a728136e7a3/lib/server-tecsvc/src/main/java/org/apache/olingo/server/tecsvc/data/DataCreator.java/#L158-L221	1	1619	11477
1580	" YES I found bad smells" The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override ValueNode preprocess(int numTables, FromList outerFromList, SubqueryList outerSubqueryList, PredicateList outerPredicateList) throws StandardException { /* Only preprocess this node once. We may get called multiple times * due to tree transformations. */ if (preprocessed) { return this; } preprocessed = true; boolean flattenable; ValueNode topNode = this; final boolean haveOrderBy; // need to remember for flattening decision // Push the order by list down to the ResultSet if (orderByList != null) { haveOrderBy = true; // If we have more than 1 ORDERBY columns, we may be able to // remove duplicate columns, e.g., "ORDER BY 1, 1, 2". if (orderByList.size() > 1) { orderByList.removeDupColumns(); } resultSet.pushOrderByList(orderByList); orderByList = null; } else { haveOrderBy = false; } resultSet = resultSet.preprocess(numTables, null, (FromList) null); if (leftOperand != null) { leftOperand = leftOperand.preprocess(numTables, outerFromList, outerSubqueryList, outerPredicateList); } // Eliminate any unnecessary DISTINCTs if (resultSet instanceof SelectNode) { if (((SelectNode) resultSet).hasDistinct()) { ((SelectNode) resultSet).clearDistinct(); /* We need to remember to check for single unique value * at execution time for expression subqueries. */ if (subqueryType == EXPRESSION_SUBQUERY) { distinctExpression = true; } } } /* Lame transformation - For IN/ANY subqueries, if * result set is guaranteed to return at most 1 row * and it is not correlated * then convert the subquery into the matching expression * subquery type. For example: * c1 in (select min(c1) from t2) * becomes: * c1 = (select min(c1) from t2) * (This actually showed up in an app that a potential customer * was porting from SQL Server.) * The transformed query can then be flattened if appropriate. */ if ((isIN() || isANY()) && resultSet.returnsAtMostOneRow()) { if (! hasCorrelatedCRs()) { changeToCorrespondingExpressionType(); } } /* NOTE: Flattening occurs before the pushing of * the predicate, since the pushing will add a node * above the SubqueryNode. */ /* Values subquery is flattenable if: * o It is not under an OR. * o It is not a subquery in a having clause (DERBY-3257) * o It is an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ flattenable = (resultSet instanceof RowResultSetNode) && underTopAndNode && !havingSubquery && !haveOrderBy && offset == null && fetchFirst == null && !isWhereExistsAnyInWithWhereSubquery() && parentComparisonOperator != null; if (flattenable) { /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ leftOperand = parentComparisonOperator.getLeftOperand(); // Flatten the subquery RowResultSetNode rrsn = (RowResultSetNode) resultSet; FromList fl = new FromList(getContextManager()); // Remove ourselves from the outer subquery list outerSubqueryList.removeElement(this); /* We only need to add the table from the subquery into * the outer from list if the subquery itself contains * another subquery. Otherwise, it just becomes a constant. */ if (rrsn.subquerys.size() != 0) { fl.addElement(rrsn); outerFromList.destructiveAppend(fl); } /* Append the subquery's subquery list to the * outer subquery list. */ outerSubqueryList.destructiveAppend(rrsn.subquerys); /* return the new join condition * If we are flattening an EXISTS then there is no new join * condition since there is no leftOperand. Simply return * TRUE. * * NOTE: The outer where clause, etc. has already been normalized, * so we simply return the BinaryComparisonOperatorNode above * the new join condition. */ return getNewJoinCondition(leftOperand, getRightOperand()); } /* Select subquery is flattenable if: * o It is not under an OR. * o The subquery type is IN, ANY or EXISTS or * an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o There are no aggregates in the select list * o There is no group by clause or having clause. * o There is a uniqueness condition that ensures * that the flattening of the subquery will not * introduce duplicates into the result set. * o The subquery is not part of a having clause (DERBY-3257) * o There are no windows defined on it * * OR, * o The subquery is NOT EXISTS, NOT IN, ALL (beetle 5173). * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ boolean flattenableNotExists = (isNOT_EXISTS() || canAllBeFlattened()); flattenable = (resultSet instanceof SelectNode) && !((SelectNode)resultSet).hasWindows() && !haveOrderBy && offset == null && fetchFirst == null && underTopAndNode && !havingSubquery && !isWhereExistsAnyInWithWhereSubquery() && (isIN() || isANY() || isEXISTS() || flattenableNotExists || parentComparisonOperator != null); if (flattenable) { SelectNode select = (SelectNode) resultSet; if ((!select.hasAggregatesInSelectList()) && (select.havingClause == null)) { ValueNode origLeftOperand = leftOperand; /* Check for uniqueness condition. */ /* Is the column being returned by the subquery * a candidate for an = condition? */ boolean additionalEQ = (subqueryType == IN_SUBQUERY) || (subqueryType == EQ_ANY_SUBQUERY); additionalEQ = additionalEQ && ((leftOperand instanceof ConstantNode) || (leftOperand instanceof ColumnReference) || (leftOperand.requiresTypeFromContext())); /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ if (parentComparisonOperator != null) { leftOperand = parentComparisonOperator.getLeftOperand(); } /* Never flatten to normal join for NOT EXISTS. */ if ((! flattenableNotExists) && select.uniqueSubquery(additionalEQ)) { // Flatten the subquery return flattenToNormalJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList); } /* We can flatten into an EXISTS join if all of the above * conditions except for a uniqueness condition are true * and: * o Subquery only has a single entry in its from list * and that entry is a FromBaseTable * o All predicates in the subquery's where clause are * pushable. * o The leftOperand, if non-null, is pushable. * If the subquery meets these conditions then we will flatten * the FBT into an EXISTS FBT, pushd the subquery's * predicates down to the PRN above the EBT and * mark the predicates to say that they cannot be pulled * above the PRN. (The only way that we can guarantee correctness * is if the predicates do not get pulled up. If they get pulled * up then the single next logic for an EXISTS join does not work * because that row may get disqualified at a higher level.) * DERBY-4001: Extra conditions to allow flattening to a NOT * EXISTS join (in a NOT EXISTS join it does matter on which * side of the join predicates/restrictions are applied): * o All the predicates must reference the FBT, otherwise * predicates meant for the right side of the join may be * applied to the left side of the join. * o The right operand (in ALL and NOT IN) must reference the * FBT, otherwise the generated join condition may be used * to restrict the left side of the join. */ else if ( (isIN() || isANY() || isEXISTS() || flattenableNotExists) && ((leftOperand == null) ? true : leftOperand.categorize(new JBitSet(numTables), false)) && select.getWherePredicates().allPushable()) { FromBaseTable fbt = singleFromBaseTable(select.getFromList()); if (fbt != null && (!flattenableNotExists || (select.getWherePredicates().allReference(fbt) && rightOperandFlattenableToNotExists(numTables, fbt)))) { return flattenToExistsJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList, flattenableNotExists); } } // restore leftOperand to its original value leftOperand = origLeftOperand; } } resultSet.pushQueryExpressionSuffix(); resultSet.pushOffsetFetchFirst( offset, fetchFirst, hasJDBClimitClause ); /* We transform the leftOperand and the select list for quantified * predicates that have a leftOperand into a new predicate and push it * down to the subquery after we preprocess the subquery's resultSet. * We must do this after preprocessing the underlying subquery so that * we know where to attach the new predicate. * NOTE - If we pushed the predicate before preprocessing the underlying * subquery, then the point of attachment would depend on the form of * that subquery. (Where clause? Having clause?) */ if (leftOperand != null) { topNode = pushNewPredicate(numTables); pushedNewPredicate = true; } /* EXISTS and NOT EXISTS subqueries that haven't been flattened, need * an IS [NOT] NULL node on top so that they return a BOOLEAN. Other * cases are taken care of in pushNewPredicate. */ else if (isEXISTS() || isNOT_EXISTS()) { topNode = genIsNullTree(isEXISTS()); subqueryType = EXISTS_SUBQUERY; } /* ** Do inVariant and correlated checks now. We ** aren't going to use the results here, but they ** have been stashed away by isInvariant() and hasCorrelatedCRs() */ isInvariant(); hasCorrelatedCRs(); /* If parentComparisonOperator is non-null then we are an * expression subquery that was considered to be a candidate * for flattening, but we didn't get flattened. In that case * we are the rightOperand of the parent. We need to update * the parent's rightOperand with the new topNode and return * the parent because the parent is letting us decide whether * or not to replace the entire comparison, which we can do * if we flatten. Otherwise we simply return the new top node. */ if (parentComparisonOperator != null) { parentComparisonOperator.setRightOperand(topNode); return parentComparisonOperator; } return topNode; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11359	https://github.com/apache/derby/blob/bd246fc89d4fce3f82f8344074ecb8a4713418df/java/org.apache.derby.engine/org/apache/derby/impl/sql/compile/SubqueryNode.java/#L606-L926	2	1580	11359
4181	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Serializable getRoutingObject(EntryOperation opDetails) { Date date = (Date) opDetails.getKey(); Calendar cal = Calendar.getInstance(); cal.setTime(date); int month = cal.get(Calendar.MONTH); // if(true){ // return month; // } switch (month) { case 0: return "January"; case 1: return "February"; case 2: return "March"; case 3: return "April"; case 4: return "May"; case 5: return "June"; case 6: return "July"; case 7: return "August"; case 8: return "September"; case 9: return "October"; case 10: return "November"; case 11: return "December"; default: return null; } }	long method	long method	t	t	t			0	11002	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/distributedTest/java/org/apache/geode/internal/cache/partitioned/fixed/SingleHopQuarterPartitionResolver.java/#L69-L107	1	4181	11002
4708	YES I found bad smells the bad smells are: 1. Commented-out code 2. Long method 3. Complex conditional logic 4. Feature envy 5. Use of System.out.println() instead of using a logger 6. Magic numbers 7. Lack of proper exception handling	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Object getApplicationToRun(String[] args) throws CoreException { String configuredApplication = getConfiguredApplication(args); if (configuredApplication == null) { configuredApplication = DEFAULT_APP_3_0; } else { System.out.println("Launching application " + configuredApplication + "..."); } // Assume we are in 3.0 mode. // Find the name of the application as specified by the PDE JUnit launcher. // If no application is specified, the 3.0 default workbench application // is returned. IExtension extension = Platform.getExtensionRegistry().getExtension(Platform.PI_RUNTIME, Platform.PT_APPLICATIONS, configuredApplication); // If no 3.0 extension can be found, search the registry // for the pre-3.0 default workbench application, i.e. org.eclipse ui.workbench // Set the deprecated flag to true if (extension == null) { return null; } // If the extension does not have the correct grammar, return null. // Otherwise, return the application object. IConfigurationElement[] elements = extension.getConfigurationElements(); if (elements.length > 0) { IConfigurationElement[] runs = elements[0].getChildren("run"); //$NON-NLS-1$ if (runs.length > 0) { return runs[0].createExecutableExtension("class"); //$NON-NLS-1$ } } return null; }	long method	Commented-out code2 Long method3 Complex conditional logic4 Feature envy5 Use of Systemoutprintln() instead of using a logger6 Magic numbers7 Lack of proper exception handling	t	f	t			0	12628	https://github.com/eclipse/tycho/blob/913062f90a6bad5c8c2b57c77111a52e698105d5/tycho-surefire/org.eclipse.tycho.surefire.osgibooter/src/main/java/org/eclipse/tycho/surefire/osgibooter/AbstractUITestApplication.java/#L67-L99	2	4708	12628
5193	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final void mRULE_ML_COMMENT() throws RecognitionException { try { int _type = RULE_ML_COMMENT; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalCrossReferenceProposalTestLanguage.g:169:17: ( '/*' ( options {greedy=false; } : . )* '*/' ) // InternalCrossReferenceProposalTestLanguage.g:169:19: '/*' ( options {greedy=false; } : . )* '*/' { match("/*"); // InternalCrossReferenceProposalTestLanguage.g:169:24: ( options {greedy=false; } : . )* loop7: do { int alt7=2; int LA7_0 = input.LA(1); if ( (LA7_0=='*') ) { int LA7_1 = input.LA(2); if ( (LA7_1=='/') ) { alt7=2; } else if ( ((LA7_1>='\u0000' && LA7_1<='.')||(LA7_1>='0' && LA7_1<='\uFFFF')) ) { alt7=1; } } else if ( ((LA7_0>='\u0000' && LA7_0<=')')||(LA7_0>='+' && LA7_0<='\uFFFF')) ) { alt7=1; } switch (alt7) { case 1 : // InternalCrossReferenceProposalTestLanguage.g:169:52: . { matchAny(); } break; default : break loop7; } } while (true); match("*/"); } state.type = _type; state.channel = _channel; } finally { } }	long method	Long method 2 Feature envy	t	f	t			0	14519	https://github.com/eclipse/xtext-eclipse/blob/0c7546b6aaf3644a77fc68eef9f3da368cbbeabd/org.eclipse.xtext.ui.tests/src-gen/org/eclipse/xtext/ui/tests/editor/contentassist/parser/antlr/internal/InternalCrossReferenceProposalTestLanguageLexer.java/#L373-L429	2	5193	14519
637	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String getDeviceDisplayName() { String displayName = ""; if (this.properties == null) { return displayName; } String deviceDisplayNameOption = (String) this.properties.get(DEVICE_DISPLAY_NAME); // Use the device name from SystemService. This should be kura.device.name from // the properties file. if ("device-name".equals(deviceDisplayNameOption)) { displayName = this.systemService.getDeviceName(); } // Try to get the device hostname else if ("hostname".equals(deviceDisplayNameOption)) { displayName = this.systemService.getHostname(); } // Return the custom field defined by the user else if ("custom".equals(deviceDisplayNameOption) && this.properties.get(DEVICE_CUSTOM_NAME) instanceof String) { displayName = (String) this.properties.get(DEVICE_CUSTOM_NAME); } // Return empty string to the server else if ("server".equals(deviceDisplayNameOption)) { displayName = ""; } return displayName; }	long method	long method	t	t	t			0	6316	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.core.cloud/src/main/java/org/eclipse/kura/core/cloud/CloudServiceOptions.java/#L64-L91	1	637	6316
2613	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int hashCode() { int hash = 37; if ( baseDn != null ) { hash = hash * 17 + baseDn.hashCode(); } hash = hash * 17 + aliasDerefMode.hashCode(); hash = hash * 17 + scope.hashCode(); hash = hash * 17 + Long.valueOf( sizeLimit ).hashCode(); hash = hash * 17 + timeLimit; hash = hash * 17 + ( typesOnly ? 0 : 1 ); if ( attributes != null ) { hash = hash * 17 + attributes.size(); // Order doesn't matter, thus just add hashCode for ( String attr : attributes ) { if ( attr != null ) { hash = hash + attr.hashCode(); } } } BranchNormalizedVisitor visitor = new BranchNormalizedVisitor(); filterNode.accept( visitor ); hash = hash * 17 + filterNode.toString().hashCode(); hash = hash * 17 + super.hashCode(); return hash; }	long method	Long method 2 Feature envy	t	f	t			0	15043	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/message/SearchRequestImpl.java/#L373-L409	2	2613	15043
5744	{ "response": "YES, I found bad smells", "bad smells are": [ "Long method" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	long method	t	t	t			0	14137	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	2	5744	14137
2652	return getCumulativeMemoryWithinPhase(join); YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	Long method 2 Feature envy	t	f	t			0	15177	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	2	2652	15177
1925	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code (repeated try-catch block) 4. Conditional complexity (multiple if/else statements) 5. Inconsistent naming conventions (some variables use camel case, others use underscores) 6. Poor exception handling (all exceptions are caught and logged, but no further action is taken) 7. Magic numbers used for calculations (e.g. division by 100f) 8. Nested conditionals (if/else within another if/else) 9. Inefficient use of memory (converting integers to floats for calculations) 10. Comments indicating potential issues that need to be fixed (indicates unmaintainable code)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private TtmlRegion parseRegionAttributes( XmlPullParser xmlParser, CellResolution cellResolution, TtsExtent ttsExtent) { String regionId = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_ID); if (regionId == null) { return null; } float position; float line; String regionOrigin = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_ORIGIN); if (regionOrigin != null) { Matcher originPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionOrigin); Matcher originPixelMatcher = PIXEL_COORDINATES.matcher(regionOrigin); if (originPercentageMatcher.matches()) { try { position = Float.parseFloat(originPercentageMatcher.group(1)) / 100f; line = Float.parseFloat(originPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else if (originPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int width = Integer.parseInt(originPixelMatcher.group(1)); int height = Integer.parseInt(originPixelMatcher.group(2)); // Convert pixel values to fractions. position = width / (float) ttsExtent.width; line = height / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an origin"); return null; // TODO: Should default to top left as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Origin is omitted. Default to top left. // position = 0; // line = 0; } float width; float height; String regionExtent = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_EXTENT); if (regionExtent != null) { Matcher extentPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionExtent); Matcher extentPixelMatcher = PIXEL_COORDINATES.matcher(regionExtent); if (extentPercentageMatcher.matches()) { try { width = Float.parseFloat(extentPercentageMatcher.group(1)) / 100f; height = Float.parseFloat(extentPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else if (extentPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int extentWidth = Integer.parseInt(extentPixelMatcher.group(1)); int extentHeight = Integer.parseInt(extentPixelMatcher.group(2)); // Convert pixel values to fractions. width = extentWidth / (float) ttsExtent.width; height = extentHeight / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an extent"); return null; // TODO: Should default to extent of parent as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Extent is omitted. Default to extent of parent. // width = 1; // height = 1; } @Cue.AnchorType int lineAnchor = Cue.ANCHOR_TYPE_START; String displayAlign = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_DISPLAY_ALIGN); if (displayAlign != null) { switch (Util.toLowerInvariant(displayAlign)) { case "center": lineAnchor = Cue.ANCHOR_TYPE_MIDDLE; line += height / 2; break; case "after": lineAnchor = Cue.ANCHOR_TYPE_END; line += height; break; default: // Default "before" case. Do nothing. break; } } float regionTextHeight = 1.0f / cellResolution.rows; return new TtmlRegion( regionId, position, line, /* lineType= */ Cue.LINE_TYPE_FRACTION, lineAnchor, width, /* textSizeType= */ Cue.TEXT_SIZE_TYPE_FRACTIONAL_IGNORE_PADDING, /* textSize= */ regionTextHeight); }	long method	Long method2 Feature envy3 Duplicate code (repeated try-catch block)4 Conditional complexity (multiple if/else statements)5 Inconsistent naming conventions (some variables use camel case, others use underscores)6 Poor exception handling (all exceptions are caught and logged, but no further action is taken)7 Magic numbers used for calculations (eg division by	t	f	t	others use underscores)6. Poor exception handling (all exceptions are caught and logged, but no further action is taken)7. Magic numbers used for calculations (e.g. division by		0	12434	https://github.com/google/ExoPlayer/blob/4bc79c9465abd00e29ff576c5f7a7517be632f5a/library/core/src/main/java/com/google/android/exoplayer2/text/ttml/TtmlDecoder.java/#L311-L434	2	1925	12434
722	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	long method, data class	t	t	t	data class		0	6833	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	1	722	6833
1687	YES, I found bad smells: the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code (specifically, the try/catch blocks for loading the comparator) 4. Inconsistent naming conventions (classLoadComparator instead of loadClassComparator) 5. Empty catch clauses (for ClassNotFoundException, InstantiationException, and IllegalAccessException) 6. Use of multiple exit points (through the use of "throw" statements within the method) 7. Mixed responsibilities (the method is both instantiating and loading a comparator, and also setting and injecting its attributes) 8. Non-encapsulated logic (the method is accessing and manipulating attributes of the comparator directly) 9. Inadequate error handling (only logging error messages and not providing any meaningful information to the caller) 10. Inadequate comments (lack of comments explaining the purpose and functionality of the code) 11. High cyclomatic complexity (multiple nested try/catch blocks and if statements)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private LdapComparator classLoadComparator( SchemaManager schemaManager, String oid, String className, Attribute byteCode ) throws LdapException { // Try to class load the comparator LdapComparator comparator; Class clazz; String byteCodeStr = StringConstants.EMPTY; if ( byteCode == null ) { try { clazz = Class.forName( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16056_CANNOT_FIND_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16057_CANNOT_FIND_CMP_CLASS, cnfe.getMessage() ) ); } } else { classLoader.setAttribute( byteCode ); try { clazz = classLoader.loadClass( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16058_CANNOT_LOAD_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16059_CANNOT_LOAD_CMP_CLASS, cnfe.getMessage() ) ); } byteCodeStr = new String( Base64.encode( byteCode.getBytes() ) ); } // Create the comparator instance. Either we have a no argument constructor, // or we have one which takes an OID. Lets try the one with an OID argument first try { Constructor constructor = clazz.getConstructor( new Class[] { String.class } ); try { comparator = ( LdapComparator ) constructor.newInstance( oid ); } catch ( InvocationTargetException ite ) { LOG.error( I18n.err( I18n.ERR_16060_CANNOT_INVOKE_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16061_CANNOT_INVOKE_CMP_CLASS, ite.getMessage() ) ); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException ie ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, ie.getMessage() ) ); } } catch ( NoSuchMethodException nsme ) { // Ok, let's try with the constructor without argument. // In this case, we will have to check that the OID is the same than // the one we got in the Comparator entry try { clazz.getConstructor(); } catch ( NoSuchMethodException nsme2 ) { LOG.error( I18n.err( I18n.ERR_16066_CANNOT_FIND_CMP_CTOR_METH_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16067_CANNOT_FIND_CMP_CTOR_METH, nsme2.getMessage() ) ); } try { comparator = ( LdapComparator ) clazz.newInstance(); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException iae ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, iae.getMessage() ) ); } if ( !comparator.getOid().equals( oid ) ) { String msg = I18n.err( I18n.ERR_16021_DIFFERENT_COMPARATOR_OID, oid, comparator.getOid() ); throw new LdapInvalidAttributeValueException( ResultCodeEnum.UNWILLING_TO_PERFORM, msg, nsme ); } } // Update the loadable fields comparator.setBytecode( byteCodeStr ); comparator.setFqcn( className ); // Inject the SchemaManager for the comparator who needs it comparator.setSchemaManager( schemaManager ); return comparator; }	long method	Long method 2 Feature envy3 Duplicate code (specifically, the try/catch blocks for loading the comparator)4 Inconsistent naming conventions (classLoadComparator instead of loadClassComparator)5 Empty catch clauses (for ClassNotFoundException, InstantiationException, and IllegalAccessException)6 Use of multiple exit points (through the use of "throw" statements within the method)7 Mixed responsibilities (the method is both instantiating and loading a comparator, and also setting and injecting its attributes)8 Non-encapsulated logic (the method is accessing and manipulating attributes of the comparator directly)9 Inadequate error handling (only logging error messages and not providing any meaningful information to the caller)	t	f	t	the try/catch blocks for loading the comparator)4. Inconsistent naming conventions (classLoadComparator instead of loadClassComparator)5. Empty catch clauses (for ClassNotFoundException, InstantiationException, and IllegalAccessException)6. Use of multiple exit points (through the use of "throw" statements within the method)7. Mixed responsibilities (the method is both instantiating and loading a comparator, and also setting and injecting its attributes)8. Non-encapsulated logic (the method is accessing and manipulating attributes of the comparator directly)9. Inadequate error handling (only logging error messages and not providing any meaningful information to the caller)		0	11691	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/schema/data/src/main/java/org/apache/directory/api/ldap/schema/loader/SchemaEntityFactory.java/#L514-L623	2	1687	11691
900	{"message": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void refreshInternal(Collection objs, OpCallbacks call) { if (objs == null || objs.isEmpty()) return; List exceps = null; try { // collect instances that need a refresh Collection load = null; StateManagerImpl sm; Object obj; for (Iterator itr = objs.iterator(); itr.hasNext();) { obj = itr.next(); if (obj == null) continue; try { sm = getStateManagerImpl(obj, true); if ((processArgument(OpCallbacks.OP_REFRESH, obj, sm, call) & OpCallbacks.ACT_RUN) == 0) continue; if (sm != null) { if (sm.isDetached()) throw newDetachedException(obj, "refresh"); else if (sm.beforeRefresh(true)) { if (load == null) load = new ArrayList<>(objs.size()); load.add(sm); } int level = _fc.getReadLockLevel(); int timeout = _fc.getLockTimeout(); _lm.refreshLock(sm, level, timeout, null); sm.readLocked(level, level); } else if (assertPersistenceCapable(obj).pcIsDetached() == Boolean.TRUE) throw newDetachedException(obj, "refresh"); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } // refresh all if (load != null) { Collection failed = _store.loadAll(load, null, StoreManager.FORCE_LOAD_REFRESH, _fc, null); if (failed != null && !failed.isEmpty()) exceps = add(exceps, newObjectNotFoundException(failed)); // perform post-refresh transitions and make sure all fetch // group fields are loaded for (Iterator itr = load.iterator(); itr.hasNext();) { sm = (StateManagerImpl) itr.next(); if (failed != null && failed.contains(sm.getId())) continue; try { sm.afterRefresh(); sm.load(_fc, StateManagerImpl.LOAD_FGS, null, null, false); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } // now invoke postRefresh on all the instances for (Iterator itr = objs.iterator(); itr.hasNext();) { try { sm = getStateManagerImpl(itr.next(), true); if (sm != null && !sm.isDetached()) fireLifecycleEvent(sm.getManagedInstance(), null, sm.getMetaData(), LifecycleEvent.AFTER_REFRESH); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } catch (OpenJPAException ke) { throw ke; } catch (RuntimeException re) { throw new GeneralException(re); } throwNestedExceptions(exceps, false); }	long method	1. long method	t	t	t			0	8153	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-kernel/src/main/java/org/apache/openjpa/kernel/BrokerImpl.java/#L3172-L3253	1	900	8153
1200	{ "output": "YES I found bad smells", "bad smells are": "1. Long Method, 2. Data Class" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	1. long method, 2. data class	t	t	t	2. data class		0	10279	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	1	1200	10279
1168	{"output": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static Dataset[] generateCoordinates(Dataset angles, final double[] geometricParameters) { if (geometricParameters.length != PARAMETERS) throw new IllegalArgumentException("Need " + PARAMETERS + " parameters"); Dataset[] coords = new Dataset[2]; DoubleDataset x = DatasetFactory.zeros(DoubleDataset.class, angles.getShape()); DoubleDataset y = DatasetFactory.zeros(DoubleDataset.class, angles.getShape()); coords[0] = x; coords[1] = y; final double ca = Math.cos(geometricParameters[2]); final double sa = Math.sin(geometricParameters[2]); final IndexIterator it = angles.getIterator(); int i = 0; while (it.hasNext()) { final double t = angles.getElementDoubleAbs(it.index); final double ct = Math.cos(t); final double st = Math.sin(t); x.setAbs(i, geometricParameters[3] + geometricParameters[0]*ca*ct - geometricParameters[1]*sa*st); y.setAbs(i, geometricParameters[4] + geometricParameters[0]*sa*ct + geometricParameters[1]*ca*st); i++; } return coords; }	long method	1. long method	t	t	t			0	10191	https://github.com/eclipse/dawnsci/blob/1131d5c65e9e8ea98141eecee1743cf1053544f4/org.eclipse.dawnsci.analysis.dataset/src/org/eclipse/dawnsci/analysis/dataset/roi/fitting/EllipseFitter.java/#L486-L512	1	1168	10191
2645	YES I found bad smells! the bad smells are: 1. Long method 2. Feature envy 3. Magic numbers (".class") 4. Use of abbreviations ("wd", "cr", "cw", "cv", "b", "os", "is", "f", "dt") 5. Lack of proper documentation/commenting 6. Nested if statements and loops 7. Inconsistent formatting and spacing 8. Potential resource leak (input and output streams are not properly handled) 9. Multiple responsibilities (weaving classes, manipulating byte arrays, and handling file operations within one method) 10. Poor variable and method naming 11. Lack of error handling and exception handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	Long method2 Feature envy3 Magic numbers ("class")4 Use of abbreviations ("wd", "cr", "cw", "cv", "b", "os", "is", "f", "dt")5 Lack of proper documentation/commenting6 Nested if statements and loops7 Inconsistent formatting and spacing8 Potential resource leak (input and output streams are not properly handled)9 Multiple responsibilities (weaving classes, manipulating byte arrays, and handling file operations within one method)	t	f	t	"cr", "cw", "cv", "b", "os", "is", "f", "dt")5. Lack of proper documentation/commenting6. Nested if statements and loops7. Inconsistent formatting and spacing8. Potential resource leak (input and output streams are not properly handled)9. Multiple responsibilities (weaving classes, manipulating byte arrays, and handling file operations within one method)		0	15150	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	2	2645	15150
791	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public LongRect getSelectionBounds(ItemSelection selection, ChartContext context) { XYItemSelection sel = (XYItemSelection)selection; XYItem item = sel.getItem(); int selectedValueIndex = sel.getValueIndex(); if (selectedValueIndex == -1 || selectedValueIndex >= item.getValuesCount()) // This happens on reset - bounds of the selection are unknown, let's clear whole area return new LongRect(0, 0, context.getViewportWidth(), context.getViewportHeight()); else return getViewBounds(item, selectedValueIndex, context); }	long method	long method	t	t	t			0	7535	https://github.com/oracle/visualvm/blob/d9b10575b53d535e10c6e8c41831ebe38483c65b/visualvm/libs.profiler/profiler.snaptracer/src/org/graalvm/visualvm/lib/profiler/snaptracer/impl/timeline/TimelineXYPainter.java/#L145-L158	1	791	7535
224	{ "response": "YES, I found bad smells", "the bad smells are": [ "1. Long method" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void processSelectedKeys() { for (Iterator i = selector.selectedKeys().iterator(); i.hasNext();) { SelectionKey key = i.next(); i.remove(); final SelectableChannel sc = key.channel(); // do not attempt to read/write until handle is set (e.g. after handshake is completed) if (key.isReadable() && key.attachment() != null) { read(key); } else if (key.isWritable() && key.attachment() != null) { write(key); } else if (key.isAcceptable()) { assert sc == serverSocketChannel; accept(); } else if (key.isConnectable()) { finishConnect(key); } } }	long method	1. long method	t	t	t			0	2418	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-ipc/src/main/java/org/apache/hyracks/ipc/impl/IPCConnectionManager.java/#L213-L230	2	224	2418
2156	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean fetchNext() throws IgniteCheckedException { if (data == null) return false; try { if (!data.next()) { close(); return false; } if (res != null) { Value[] values = res.currentRow(); for (int c = 0; c < row.length; c++) { Value val = values[c]; if (val instanceof GridH2ValueCacheObject) { GridH2ValueCacheObject valCacheObj = (GridH2ValueCacheObject)values[c]; row[c] = valCacheObj.getObject(true); } else row[c] = val.getObject(); } } else { for (int c = 0; c < row.length; c++) row[c] = data.getObject(c + 1); } return true; } catch (SQLException e) { throw new IgniteSQLException(e); } }	long method	Long method2 Feature envy	t	f	t			0	13302	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/H2ResultSetIterator.java/#L101-L137	2	2156	13302
1962	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public AsyncContextEvent(Context context,AsyncContextState asyncContext, HttpChannelState state, Request baseRequest, ServletRequest request, ServletResponse response) { super(null,request,response,null); _context=context; _asyncContext=asyncContext; _state=state; // If we haven't been async dispatched before if (baseRequest.getAttribute(AsyncContext.ASYNC_REQUEST_URI)==null) { // We are setting these attributes during startAsync, when the spec implies that // they are only available after a call to AsyncContext.dispatch(...); // have we been forwarded before? String uri=(String)baseRequest.getAttribute(RequestDispatcher.FORWARD_REQUEST_URI); if (uri!=null) { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,uri); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_CONTEXT_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_SERVLET_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getAttribute(RequestDispatcher.FORWARD_PATH_INFO)); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getAttribute(RequestDispatcher.FORWARD_QUERY_STRING)); } else { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,baseRequest.getRequestURI()); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getContextPath()); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getServletPath()); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getPathInfo()); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getQueryString()); } } }	long method	Long method 2 Feature envy	t	f	t			0	12586	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-server/src/main/java/org/eclipse/jetty/server/AsyncContextEvent.java/#L42-L74	2	1962	12586
1957	{ "message": "YES I found bad smells", "bad smells are": [ "Blob", "Feature Envy", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void validateArrayStep(String arrStep) throws QueryException { boolean wildAllowed = true; // * is allowed initially boolean digitAllowed = true; // Digit is allowed as next char boolean commaAllowed = false; // Comma is allowed as next char boolean afterDigit = false; // Last non-space was a digit boolean toAllowed = false; // Any space after digit allows "to" boolean afterTo = false; // After "to" expecting range end boolean toInProgress = false; // Prior char was 't' in "to" boolean spaceRequired = false; // A whitespace is required (after "to") boolean digitRequired = false; // Digit required after comma or "to" for (int i = 1; i < arrStep.length() - 1; ++i) { char currentChar = arrStep.charAt(i); if (currentChar == '*') { if (!wildAllowed) throwArrayException(arrStep); wildAllowed = false; // We've seen the only allowed wildcard digitAllowed = false; // Only whitespace is allowed afterward } else if (currentChar == ',') { if (!commaAllowed) throwArrayException(arrStep); commaAllowed = false; toAllowed = false; afterDigit = false; afterTo = false; digitRequired = true; // Next non-space must be a digit } else if ("0123456789".indexOf(currentChar) >= 0) { if (!digitAllowed) throwArrayException(arrStep); wildAllowed = false; // Wildcard no longer allowed commaAllowed = true; afterDigit = true; digitRequired = false; } else if (" \t\n\r".indexOf(currentChar) >= 0) { // Whitespace not allowed when parsing "to" if (toInProgress) throwArrayException(arrStep); if (afterDigit) { // Last non-space was a digit - next non-space is "to" or comma digitAllowed = false; toAllowed = !afterTo; commaAllowed = true; } else if (spaceRequired) { // This is the whitespace required after "to" digitAllowed = true; spaceRequired = false; digitRequired = true; // At least one digit must follow } } else if (currentChar == 't') { if (!toAllowed) throwArrayException(arrStep); toInProgress = true; // Next char must be the 'o' in "to" commaAllowed = false; afterDigit = false; } else if (currentChar == 'o') { if (!toInProgress) throwArrayException(arrStep); toInProgress = false; toAllowed = false; afterTo = true; spaceRequired = true; // "to" must be followed by whitespace } else { // Invalid character throwArrayException(arrStep); } } // Empty array or only whitespace found if (wildAllowed) throwArrayException(arrStep); // Incomplete "to" or comma sequence at end of subscript if (toInProgress || spaceRequired || digitRequired) throwArrayException(arrStep); }	long method	blob, feature envy, long method	t	t	f	blob, feature envy	long method	0	12568	https://github.com/oracle/soda-for-java/blob/352634e26b5a0d9d529d5436f7a4c8e21ed1dbf0/src/oracle/json/parser/PathParser.java/#L138-L239	1	1957	12568
963	YES I found bad smells the bad smells are: 1. Long Method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private LdapComparator classLoadComparator( SchemaManager schemaManager, String oid, String className, Attribute byteCode ) throws LdapException { // Try to class load the comparator LdapComparator comparator; Class clazz; String byteCodeStr = StringConstants.EMPTY; if ( byteCode == null ) { try { clazz = Class.forName( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16056_CANNOT_FIND_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16057_CANNOT_FIND_CMP_CLASS, cnfe.getMessage() ) ); } } else { classLoader.setAttribute( byteCode ); try { clazz = classLoader.loadClass( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16058_CANNOT_LOAD_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16059_CANNOT_LOAD_CMP_CLASS, cnfe.getMessage() ) ); } byteCodeStr = new String( Base64.encode( byteCode.getBytes() ) ); } // Create the comparator instance. Either we have a no argument constructor, // or we have one which takes an OID. Lets try the one with an OID argument first try { Constructor constructor = clazz.getConstructor( new Class[] { String.class } ); try { comparator = ( LdapComparator ) constructor.newInstance( oid ); } catch ( InvocationTargetException ite ) { LOG.error( I18n.err( I18n.ERR_16060_CANNOT_INVOKE_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16061_CANNOT_INVOKE_CMP_CLASS, ite.getMessage() ) ); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException ie ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, ie.getMessage() ) ); } } catch ( NoSuchMethodException nsme ) { // Ok, let's try with the constructor without argument. // In this case, we will have to check that the OID is the same than // the one we got in the Comparator entry try { clazz.getConstructor(); } catch ( NoSuchMethodException nsme2 ) { LOG.error( I18n.err( I18n.ERR_16066_CANNOT_FIND_CMP_CTOR_METH_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16067_CANNOT_FIND_CMP_CTOR_METH, nsme2.getMessage() ) ); } try { comparator = ( LdapComparator ) clazz.newInstance(); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException iae ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, iae.getMessage() ) ); } if ( !comparator.getOid().equals( oid ) ) { String msg = I18n.err( I18n.ERR_16021_DIFFERENT_COMPARATOR_OID, oid, comparator.getOid() ); throw new LdapInvalidAttributeValueException( ResultCodeEnum.UNWILLING_TO_PERFORM, msg, nsme ); } } // Update the loadable fields comparator.setBytecode( byteCodeStr ); comparator.setFqcn( className ); // Inject the SchemaManager for the comparator who needs it comparator.setSchemaManager( schemaManager ); return comparator; }	long method	Long Method 2 Feature Envy	t	f	t			0	8574	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/schema/data/src/main/java/org/apache/directory/api/ldap/schema/loader/SchemaEntityFactory.java/#L514-L623	2	963	8574
747	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void addUTF8Region(StructurePointer clazz, String slotName, String additionalInfo, AbstractPointer utf8String) throws CorruptDataException { long offset = utf8String.getAddress() - clazz.getAddress(); /* We do not want to print UTF8 outside of the ROM class. */ long clazzSize = ((J9ROMClassPointer) clazz).romSize().longValue(); if ((offset > 0) && (offset < clazzSize)) { if (utf8String.notNull()) { long UTF8Length = getUTF8Length(J9UTF8Pointer.cast(utf8String)); if (utf8String.getAddress() < firstJ9_ROM_UTF8) { firstJ9_ROM_UTF8 = utf8String.getAddress(); } if ((utf8String.getAddress() + UTF8Length) > lastJ9_ROM_UTF8) { lastJ9_ROM_UTF8 = utf8String.getAddress() + UTF8Length; } classRegions.add(new J9ClassRegion(utf8String, SlotType.J9_ROM_UTF8, slotName, additionalInfo, UTF8Length, offset, true)); } } }	long method	1. long method	t	t	t			0	7016	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/debugtools/DDR_VM/src/com/ibm/j9ddr/vm29/tools/ddrinteractive/LinearDumper.java/#L277-L297	1	747	7016
1881	{"response": "YES, I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String[] getPath(final TreeItem swtTreeItem) { return Display.syncExec(new ResultRunnable() { @Override public String[] run() { org.eclipse.swt.widgets.TreeItem swttiDummy = swtTreeItem; LinkedList items = new LinkedList(); while (swttiDummy != null) { items.addFirst(swttiDummy.getText()); swttiDummy = swttiDummy.getParentItem(); } return items.toArray(new String[0]); } }); }	long method	long method	t	t	t			0	12286	https://github.com/eclipse/reddeer/blob/59e55d29fc60a672d79df1ad1578badb8a2f8693/plugins/org.eclipse.reddeer.core/src/org/eclipse/reddeer/core/handler/TreeItemHandler.java/#L281-L294	1	1881	12286
2262	{ "output": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean r_prelude() { int among_var; int v_1; int v_2; int v_3; int v_4; int v_5; // (, line 34 // test, line 35 v_1 = cursor; // repeat, line 35 replab0: while(true) { v_2 = cursor; lab1: do { // (, line 35 // [, line 36 bra = cursor; // substring, line 36 among_var = find_among(a_0, 7); if (among_var == 0) { break lab1; } // ], line 36 ket = cursor; switch(among_var) { case 0: break lab1; case 1: // (, line 37 // <-, line 37 slice_from("\u00E0"); break; case 2: // (, line 38 // <-, line 38 slice_from("\u00E8"); break; case 3: // (, line 39 // <-, line 39 slice_from("\u00EC"); break; case 4: // (, line 40 // <-, line 40 slice_from("\u00F2"); break; case 5: // (, line 41 // <-, line 41 slice_from("\u00F9"); break; case 6: // (, line 42 // <-, line 42 slice_from("qU"); break; case 7: // (, line 43 // next, line 43 if (cursor >= limit) { break lab1; } cursor++; break; } continue replab0; } while (false); cursor = v_2; break replab0; } cursor = v_1; // repeat, line 46 replab2: while(true) { v_3 = cursor; lab3: do { // goto, line 46 golab4: while(true) { v_4 = cursor; lab5: do { // (, line 46 if (!(in_grouping(g_v, 97, 249))) { break lab5; } // [, line 47 bra = cursor; // or, line 47 lab6: do { v_5 = cursor; lab7: do { // (, line 47 // literal, line 47 if (!(eq_s(1, "u"))) { break lab7; } // ], line 47 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab7; } // <-, line 47 slice_from("U"); break lab6; } while (false); cursor = v_5; // (, line 48 // literal, line 48 if (!(eq_s(1, "i"))) { break lab5; } // ], line 48 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab5; } // <-, line 48 slice_from("I"); } while (false); cursor = v_4; break golab4; } while (false); cursor = v_4; if (cursor >= limit) { break lab3; } cursor++; } continue replab2; } while (false); cursor = v_3; break replab2; } return true; }	long method	long method	t	t	t			0	13720	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/common/src/java/org/tartarus/snowball/ext/ItalianStemmer.java/#L257-L401	1	2262	13720
695	YES, I found bad smells the bad smells are: 1.Long method 2. Feature envy 3. Repeating code 4. Code duplication 5. Insufficient commenting 6. Magic numbers 7. Primitive obsession 8. Inconsistent formatting 9. Unused variables	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int setPath(Path2D path) { Rectangle2D bounds = path.getBounds2D(); PathIterator it = path.getPathIterator(null); List segInfo = new ArrayList<>(); List pntInfo = new ArrayList<>(); boolean isClosed = false; int numPoints = 0; while (!it.isDone()) { double[] vals = new double[6]; int type = it.currentSegment(vals); switch (type) { case PathIterator.SEG_MOVETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_MOVETO); numPoints++; break; case PathIterator.SEG_LINETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); numPoints++; break; case PathIterator.SEG_CUBICTO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); pntInfo.add(new Point2D.Double(vals[2], vals[3])); pntInfo.add(new Point2D.Double(vals[4], vals[5])); segInfo.add(SEGMENTINFO_CUBICTO); segInfo.add(SEGMENTINFO_ESCAPE2); numPoints++; break; case PathIterator.SEG_QUADTO: //TODO: figure out how to convert SEG_QUADTO into SEG_CUBICTO LOG.log(POILogger.WARN, "SEG_QUADTO is not supported"); break; case PathIterator.SEG_CLOSE: pntInfo.add(pntInfo.get(0)); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_CLOSE); isClosed = true; numPoints++; break; default: LOG.log(POILogger.WARN, "Ignoring invalid segment type "+type); break; } it.next(); } if(!isClosed) { segInfo.add(SEGMENTINFO_LINETO); } segInfo.add(SEGMENTINFO_END); AbstractEscherOptRecord opt = getEscherOptRecord(); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__SHAPEPATH, 0x4)); EscherArrayProperty verticesProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__VERTICES + 0x4000), false, null); verticesProp.setNumberOfElementsInArray(pntInfo.size()); verticesProp.setNumberOfElementsInMemory(pntInfo.size()); verticesProp.setSizeOfElements(8); for (int i = 0; i < pntInfo.size(); i++) { Point2D.Double pnt = pntInfo.get(i); byte[] data = new byte[8]; LittleEndian.putInt(data, 0, Units.pointsToMaster(pnt.getX() - bounds.getX())); LittleEndian.putInt(data, 4, Units.pointsToMaster(pnt.getY() - bounds.getY())); verticesProp.setElement(i, data); } opt.addEscherProperty(verticesProp); EscherArrayProperty segmentsProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__SEGMENTINFO + 0x4000), false, null); segmentsProp.setNumberOfElementsInArray(segInfo.size()); segmentsProp.setNumberOfElementsInMemory(segInfo.size()); segmentsProp.setSizeOfElements(0x2); for (int i = 0; i < segInfo.size(); i++) { byte[] seg = segInfo.get(i); segmentsProp.setElement(i, seg); } opt.addEscherProperty(segmentsProp); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__RIGHT, Units.pointsToMaster(bounds.getWidth()))); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__BOTTOM, Units.pointsToMaster(bounds.getHeight()))); opt.sortProperties(); setAnchor(bounds); return numPoints; }	long method	Long method 2 Feature envy3 Repeating code4 Code duplication 5 Insufficient commenting 6 Magic numbers 7 Primitive obsession 8 Inconsistent formatting 9 Unused variables	t	f	t			0	6659	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/scratchpad/src/org/apache/poi/hslf/usermodel/HSLFFreeformShape.java/#L107-L198	2	695	6659
1985	YES I found bad smells the bad smells are: 1. Duplicated code, 2. Feature envy, 3. Long method, 4. Lazy class, 5. Long parameter list	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void doDefensiveChecks(DistribPhase phase) { boolean isReplayOrPeersync = (updateCommand.getFlags() & (UpdateCommand.REPLAY | UpdateCommand.PEER_SYNC)) != 0; if (isReplayOrPeersync) return; String from = req.getParams().get(DISTRIB_FROM); ClusterState clusterState = zkController.getClusterState(); DocCollection docCollection = clusterState.getCollection(collection); Slice mySlice = docCollection.getSlice(cloudDesc.getShardId()); boolean localIsLeader = cloudDesc.isLeader(); if (DistribPhase.FROMLEADER == phase && localIsLeader && from != null) { // from will be null on log replay String fromShard = req.getParams().get(DISTRIB_FROM_PARENT); if (fromShard != null) { if (mySlice.getState() == Slice.State.ACTIVE) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but we are in active state"); } // shard splitting case -- check ranges to see if we are a sub-shard Slice fromSlice = docCollection.getSlice(fromShard); DocRouter.Range parentRange = fromSlice.getRange(); if (parentRange == null) parentRange = new DocRouter.Range(Integer.MIN_VALUE, Integer.MAX_VALUE); if (mySlice.getRange() != null && !mySlice.getRange().isSubsetOf(parentRange)) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but parent hash range is not superset of my range"); } } else { String fromCollection = req.getParams().get(DISTRIB_FROM_COLLECTION); // is it because of a routing rule? if (fromCollection == null) { log.error("Request says it is coming from leader, but we are the leader: " + req.getParamString()); SolrException solrExc = new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from leader, but we are the leader"); solrExc.setMetadata("cause", "LeaderChanged"); throw solrExc; } } } int count = 0; while (((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) && count < 5) { count++; // re-getting localIsLeader since we published to ZK first before setting localIsLeader value localIsLeader = cloudDesc.isLeader(); try { Thread.sleep(500); } catch (InterruptedException e) { Thread.currentThread().interrupt(); } } if ((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) { log.error("ClusterState says we are the leader, but locally we don't think so"); throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "ClusterState says we are the leader (" + zkController.getBaseUrl() + "/" + req.getCore().getName() + "), but locally we don't think so. Request came from " + from); } }	long method	Duplicated code, 2 Feature envy, 3 Long method, 4 Lazy class, 5 Long parameter list	t	f	t	. Duplicated code, 2. Feature envy, 4. Lazy class, 5. Long parameter list		0	12651	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/update/processor/DistributedZkUpdateProcessor.java/#L953-L1007	2	1985	12651
2915	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean incrementToken() throws IOException { for(;;) { if (!remainingTokens.isEmpty()) { // clearAttributes(); // not currently necessary restoreState(remainingTokens.removeFirst()); return true; } if (!input.incrementToken()) return false; int len = termAtt.length(); if (len==0) return true; // pass through zero length terms int firstAlternativeIncrement = inject ? 0 : posAtt.getPositionIncrement(); String v = termAtt.toString(); String primaryPhoneticValue = encoder.doubleMetaphone(v); String alternatePhoneticValue = encoder.doubleMetaphone(v, true); // a flag to lazily save state if needed... this avoids a save/restore when only // one token will be generated. boolean saveState=inject; if (primaryPhoneticValue!=null && primaryPhoneticValue.length() > 0 && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); } posAtt.setPositionIncrement( firstAlternativeIncrement ); firstAlternativeIncrement = 0; termAtt.setEmpty().append(primaryPhoneticValue); saveState = true; } if (alternatePhoneticValue!=null && alternatePhoneticValue.length() > 0 && !alternatePhoneticValue.equals(primaryPhoneticValue) && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); saveState = false; } posAtt.setPositionIncrement( firstAlternativeIncrement ); termAtt.setEmpty().append(alternatePhoneticValue); saveState = true; } // Just one token to return, so no need to capture/restore // any state, simply return it. if (remainingTokens.isEmpty()) { return true; } if (saveState) { remainingTokens.addLast(captureState()); } } }	long method	long method	t	t	t			0	2253	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/phonetic/src/java/org/apache/lucene/analysis/phonetic/DoubleMetaphoneFilter.java/#L51-L108	1	2915	2253
1538	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean matchesAllInstances(SequenceType testST) { Quantifier stq = sequenceType.getQuantifier(); ItemType it = sequenceType.getItemType(); if (stq.isSubQuantifier(testST.getQuantifier())) { if (it instanceof AnyItemType) { return true; } else if (it.isAtomicType() && testST.getItemType().isAtomicType()) { AtomicType ait = (AtomicType) it; AtomicType testIT = (AtomicType) testST.getItemType(); if (BuiltinTypeRegistry.INSTANCE.isBuiltinTypeId(testIT.getTypeId())) { SchemaType vType = BuiltinTypeRegistry.INSTANCE.getSchemaTypeById(testIT.getTypeId()); while (vType != null && vType.getTypeId() != ait.getTypeId()) { vType = vType.getBaseType(); } return vType != null; } } else if (it instanceof NodeType && testST.getItemType() instanceof NodeType) { NodeType nt = (NodeType) it; NodeKind kind = nt.getNodeKind(); NodeType testNT = (NodeType) testST.getItemType(); NodeKind testKind = testNT.getNodeKind(); if (kind == NodeKind.ANY || kind == testKind) { return true; } } return false; } return false; }	long method	Long method2 Feature envy	t	f	t			0	11226	https://github.com/apache/vxquery/blob/5d1175d2cb04a54ba751295f2ac67daec38bf723/vxquery-core/src/main/java/org/apache/vxquery/runtime/functions/type/SequenceTypeMatcher.java/#L156-L184	2	1538	11226
1636	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static byte[] decodeUrl( byte[] bytes ) throws UrlDecoderException { if ( bytes == null ) { return Strings.EMPTY_BYTES; } ByteArrayOutputStream buffer = new ByteArrayOutputStream(); for ( int i = 0; i < bytes.length; i++ ) { int b = bytes[i]; if ( b == '%' ) { try { int u = Character.digit( ( char ) bytes[++i], 16 ); int l = Character.digit( ( char ) bytes[++i], 16 ); if ( ( u == -1 ) || ( l == -1 ) ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ) ); } buffer.write( ( char ) ( ( u << 4 ) + l ) ); } catch ( ArrayIndexOutOfBoundsException aioobe ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ), aioobe ); } } else { buffer.write( b ); } } return buffer.toByteArray(); }	long method	Long Method	t	f	t			0	11525	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/url/LdapUrl.java/#L1067-L1106	1	1636	11525
517	"YES I found bad smells: Long method, Feature envy, Complex conditionals, Inconsistent name, Hardcoded numbers, "the bad smells are: 1. Long method 2. Feature envy 3. Complex conditionals 4. Inconsistent name 5. Hardcoded numbers	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static ResolvableType forType( @Nullable Type type, @Nullable TypeProvider typeProvider, @Nullable VariableResolver variableResolver) { if (type == null && typeProvider != null) { type = SerializableTypeWrapper.forTypeProvider(typeProvider); } if (type == null) { return NONE; } // For simple Class references, build the wrapper right away - // no expensive resolution necessary, so not worth caching... if (type instanceof Class) { return new ResolvableType(type, typeProvider, variableResolver, (ResolvableType) null); } // Purge empty entries on access since we don't have a clean-up thread or the like. cache.purgeUnreferencedEntries(); // Check the cache - we may have a ResolvableType which has been resolved before... ResolvableType resultType = new ResolvableType(type, typeProvider, variableResolver); ResolvableType cachedType = cache.get(resultType); if (cachedType == null) { cachedType = new ResolvableType(type, typeProvider, variableResolver, resultType.hash); cache.put(cachedType, cachedType); } resultType.resolved = cachedType.resolved; return resultType; }	long method	Long method2 Feature envy3 Complex conditionals4 Inconsistent name5 Hardcoded numbers	t	f	t			0	5350	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-core/src/main/java/org/springframework/core/ResolvableType.java/#L1394-L1422	2	517	5350
336	{"response": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private synchronized void checkHealth() { CalculatedStatus status = calculateStatus(); boolean healthy = status.isHealthy(); long now = System.currentTimeMillis(); if (healthy) { stateLastGood.set(now); if (lastPublished == LastPublished.FAILED) { if (currentRecoveryStartTime == null) { LOG.info("{} check for {}, now recovering: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing recovering: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentFailureStartTime != null) { LOG.info("{} check for {}, now healthy: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still healthy: {}", new Object[] {this, entity, getDescription(status)}); } } } else { stateLastFail.set(now); if (lastPublished != LastPublished.FAILED) { if (currentFailureStartTime == null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing failing: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentRecoveryStartTime != null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still failed: {}", new Object[] {this, entity, getDescription(status)}); } } } }	long method	1. long method	t	t	t			0	3447	https://github.com/apache/brooklyn-server/blob/880eb1da00f6358d7fd76d065322e3685bfb1a04/policy/src/main/java/org/apache/brooklyn/policy/ha/AbstractFailureDetector.java/#L223-L265	1	336	3447
2188	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Object getValue(final String columnLabel, final Class type) throws SQLException { Object result; if (Object.class == type) { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } else if (boolean.class == type) { result = decrypt(columnLabel, resultSet.getBoolean(columnLabel)); } else if (byte.class == type) { result = decrypt(columnLabel, resultSet.getByte(columnLabel)); } else if (short.class == type) { result = decrypt(columnLabel, resultSet.getShort(columnLabel)); } else if (int.class == type) { result = decrypt(columnLabel, resultSet.getInt(columnLabel)); } else if (long.class == type) { result = decrypt(columnLabel, resultSet.getLong(columnLabel)); } else if (float.class == type) { result = decrypt(columnLabel, resultSet.getFloat(columnLabel)); } else if (double.class == type) { result = decrypt(columnLabel, resultSet.getDouble(columnLabel)); } else if (String.class == type) { result = decrypt(columnLabel, resultSet.getString(columnLabel)); } else if (BigDecimal.class == type) { result = decrypt(columnLabel, resultSet.getBigDecimal(columnLabel)); } else if (byte[].class == type) { result = resultSet.getBytes(columnLabel); } else if (Date.class == type) { result = resultSet.getDate(columnLabel); } else if (Time.class == type) { result = resultSet.getTime(columnLabel); } else if (Timestamp.class == type) { result = resultSet.getTimestamp(columnLabel); } else if (URL.class == type) { result = resultSet.getURL(columnLabel); } else if (Blob.class == type) { result = resultSet.getBlob(columnLabel); } else if (Clob.class == type) { result = resultSet.getClob(columnLabel); } else if (SQLXML.class == type) { result = resultSet.getSQLXML(columnLabel); } else if (Reader.class == type) { result = resultSet.getCharacterStream(columnLabel); } else { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } return result; }	long method	long method, blob	t	t	t	blob		0	13444	https://github.com/apache/incubator-shardingsphere/blob/c5cf1d15b02f3a0fb3bda4f15d5f0b3779eac7ba/sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/sql/execute/result/StreamQueryResult.java/#L117-L162	1	2188	13444
2164	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public SocketServer(NetworkConfig config, SSLConfig sslConfig, MetricRegistry registry, ArrayList portList) { this.host = config.hostName; this.port = config.port; this.numProcessorThreads = config.numIoThreads; this.maxQueuedRequests = config.queuedMaxRequests; this.sendBufferSize = config.socketSendBufferBytes; this.recvBufferSize = config.socketReceiveBufferBytes; this.maxRequestSize = config.socketRequestMaxBytes; processors = new ArrayList(numProcessorThreads); requestResponseChannel = new SocketRequestResponseChannel(numProcessorThreads, maxQueuedRequests); metrics = new ServerNetworkMetrics(requestResponseChannel, registry, processors); this.acceptors = new ArrayList(); this.ports = new HashMap(); this.validatePorts(portList); this.initializeSSLFactory(sslConfig); }	long method	long method	t	t	t			0	13339	https://github.com/linkedin/ambry/blob/1d2e455556058b83f5145740b7f2c5772fa37e1b/ambry-network/src/main/java/com.github.ambry.network/SocketServer.java/#L67-L82	1	2164	13339
1106	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void verifyRepository(RepositoryRequest request) throws AmbariException { URLStreamProvider usp = new URLStreamProvider(REPO_URL_CONNECT_TIMEOUT, REPO_URL_READ_TIMEOUT, null, null, null); usp.setSetupTruststoreForHttps(false); String repoName = request.getRepoName(); if (StringUtils.isEmpty(repoName)) { throw new IllegalArgumentException("repo_name is required to verify repository"); } String errorMessage = null; Exception e = null; String[] suffixes = configs.getRepoValidationSuffixes(request.getOsType()); for (String suffix : suffixes) { String formatted_suffix = String.format(suffix, repoName); String spec = request.getBaseUrl().trim(); // This logic is to identify if the end of baseurl has a slash ('/') and/or the beginning of suffix String (e.g. "/repodata/repomd.xml") // has a slash and they can form a good url. // e.g. "http://baseurl.com/" + "/repodata/repomd.xml" becomes "http://baseurl.com/repodata/repomd.xml" but not "http://baseurl.com//repodata/repomd.xml" if (spec.charAt(spec.length() - 1) != '/' && formatted_suffix.charAt(0) != '/') { spec = spec + "/" + formatted_suffix; } else if (spec.charAt(spec.length() - 1) == '/' && formatted_suffix.charAt(0) == '/') { spec = spec + formatted_suffix.substring(1); } else { spec = spec + formatted_suffix; } // if spec contains "file://" then check local file system. final String FILE_SCHEME = "file://"; if(spec.toLowerCase().startsWith(FILE_SCHEME)){ String filePath = spec.substring(FILE_SCHEME.length()); File f = new File(filePath); if(!f.exists()){ errorMessage = "Could not access base url . " + spec + " . "; e = new FileNotFoundException(errorMessage); break; } }else{ try { IOUtils.readLines(usp.readFrom(spec)); } catch (IOException ioe) { e = ioe; errorMessage = "Could not access base url . " + request.getBaseUrl() + " . "; if (LOG.isDebugEnabled()) { errorMessage += ioe; } else { errorMessage += ioe.getMessage(); } break; } } } if (e != null) { LOG.error(errorMessage); throw new IllegalArgumentException(errorMessage, e); } }	long method	Long method2 Feature envy	t	f	t			0	9879	https://github.com/apache/ambari/blob/2bc4779a1e6aabe638101fc8b0e28cd1963d6b13/ambari-server/src/main/java/org/apache/ambari/server/controller/AmbariManagementControllerImpl.java/#L4555-L4614	2	1106	9879
1278	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static Class stringToClass(String klass) throws FrontendException { if ("string".equalsIgnoreCase(klass)) { return String.class; } else if ("int".equalsIgnoreCase(klass)) { return Integer.TYPE; } else if ("double".equalsIgnoreCase(klass)) { return Double.TYPE; } else if ("float".equalsIgnoreCase(klass)){ return Float.TYPE; } else if ("long".equalsIgnoreCase(klass)) { return Long.TYPE; } else if ("double[]".equalsIgnoreCase(klass)) { return DOUBLE_ARRAY_CLASS; } else if ("int[]".equalsIgnoreCase(klass)) { return INT_ARRAY_CLASS; } else if ("long[]".equalsIgnoreCase(klass)) { return LONG_ARRAY_CLASS; } else if ("float[]".equalsIgnoreCase(klass)) { return FLOAT_ARRAY_CLASS; } else if ("string[]".equalsIgnoreCase(klass)) { return STRING_ARRAY_CLASS; } else { throw new FrontendException("unable to find matching class for " + klass); } }	long method	long method	t	t	t			0	10592	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/builtin/Invoker.java/#L113-L138	1	1278	10592
1435	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Map tika_parse(InputStream sourceStream, String prefix, Integer maxAttribs, Integer maxAttribLen) throws IOException, TikaException, SAXException { final Metadata metadata = new Metadata(); final TikaInputStream tikaInputStream = TikaInputStream.get(sourceStream); try { autoDetectParser.parse(tikaInputStream, new DefaultHandler(), metadata); } finally { tikaInputStream.close(); } final Map results = new HashMap<>(); final Pattern metadataKeyFilter = metadataKeyFilterRef.get(); final StringBuilder dataBuilder = new StringBuilder(); for (final String key : metadata.names()) { if (metadataKeyFilter != null && !metadataKeyFilter.matcher(key).matches()) { continue; } dataBuilder.setLength(0); if (metadata.isMultiValued(key)) { for (String val : metadata.getValues(key)) { if (dataBuilder.length() > 1) { dataBuilder.append(", "); } if (dataBuilder.length() + val.length() < maxAttribLen) { dataBuilder.append(val); } else { dataBuilder.append("..."); break; } } } else { dataBuilder.append(metadata.get(key)); } if (prefix == null) { results.put(key, dataBuilder.toString().trim()); } else { results.put(prefix + key, dataBuilder.toString().trim()); } // cutoff at max if provided if (maxAttribs != null && results.size() >= maxAttribs) { break; } } return results; }	long method	long method	t	t	t			0	10960	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-media-bundle/nifi-media-processors/src/main/java/org/apache/nifi/processors/media/ExtractMediaMetadata.java/#L210-L255	1	1435	10960
1891	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void baselineLayout(int targetSpan, int axis, int[] offsets, int[] spans) { int totalAscent = (int)(targetSpan * getAlignment(axis)); int totalDescent = targetSpan - totalAscent; int n = getViewCount(); for (int i = 0; i < n; i++) { View v = getView(i); float align = v.getAlignment(axis); float viewSpan; if (v.getResizeWeight(axis) > 0) { // if resizable then resize to the best fit // the smallest span possible float minSpan = v.getMinimumSpan(axis); // the largest span possible float maxSpan = v.getMaximumSpan(axis); if (align == 0.0f) { // if the alignment is 0 then we need to fit into the descent viewSpan = Math.max(Math.min(maxSpan, totalDescent), minSpan); } else if (align == 1.0f) { // if the alignment is 1 then we need to fit into the ascent viewSpan = Math.max(Math.min(maxSpan, totalAscent), minSpan); } else { // figure out the span that we must fit into float fitSpan = Math.min(totalAscent / align, totalDescent / (1.0f - align)); // fit into the calculated span viewSpan = Math.max(Math.min(maxSpan, fitSpan), minSpan); } } else { // otherwise use the preferred spans viewSpan = v.getPreferredSpan(axis); } offsets[i] = totalAscent - (int)(viewSpan * align); spans[i] = (int)viewSpan; } }	long method	long method	t	t	t			0	12314	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/javax/swing/text/BoxView.java/#L956-L996	1	1891	12314
953	{"message": "YES I found bad smells, the bad smells are:", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static Class stringToClass(String klass) throws FrontendException { if ("string".equalsIgnoreCase(klass)) { return String.class; } else if ("int".equalsIgnoreCase(klass)) { return Integer.TYPE; } else if ("double".equalsIgnoreCase(klass)) { return Double.TYPE; } else if ("float".equalsIgnoreCase(klass)){ return Float.TYPE; } else if ("long".equalsIgnoreCase(klass)) { return Long.TYPE; } else if ("double[]".equalsIgnoreCase(klass)) { return DOUBLE_ARRAY_CLASS; } else if ("int[]".equalsIgnoreCase(klass)) { return INT_ARRAY_CLASS; } else if ("long[]".equalsIgnoreCase(klass)) { return LONG_ARRAY_CLASS; } else if ("float[]".equalsIgnoreCase(klass)) { return FLOAT_ARRAY_CLASS; } else if ("string[]".equalsIgnoreCase(klass)) { return STRING_ARRAY_CLASS; } else { throw new FrontendException("unable to find matching class for " + klass); } }	long method	long method	t	t	t			0	8529	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/builtin/Invoker.java/#L113-L138	1	953	8529
966	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void alterTableStatsForTruncate(RawStore ms, String catName, String dbName, String tableName, Table table, List partNames, String validWriteIds, long writeId) throws Exception { if (partNames == null) { if (0 != table.getPartitionKeysSize()) { for (Partition partition : ms.getPartitions(catName, dbName, tableName, Integer.MAX_VALUE)) { alterPartitionForTruncate(ms, catName, dbName, tableName, table, partition, validWriteIds, writeId); } } else { EnvironmentContext environmentContext = new EnvironmentContext(); updateStatsForTruncate(table.getParameters(), environmentContext); if (!transactionalListeners.isEmpty()) { MetaStoreListenerNotifier.notifyEvent(transactionalListeners, EventType.ALTER_TABLE, new AlterTableEvent(table, table, true, true, writeId, this)); } if (!listeners.isEmpty()) { MetaStoreListenerNotifier.notifyEvent(listeners, EventType.ALTER_TABLE, new AlterTableEvent(table, table, true, true, writeId, this)); } // TODO: this should actually pass thru and set writeId for txn stats. if (writeId > 0) { table.setWriteId(writeId); } alterHandler.alterTable(ms, wh, catName, dbName, tableName, table, environmentContext, this, validWriteIds); } } else { for (Partition partition : ms.getPartitionsByNames(catName, dbName, tableName, partNames)) { alterPartitionForTruncate(ms, catName, dbName, tableName, table, partition, validWriteIds, writeId); } } return; }	long method	long method, feature envy	t	t	t	feature envy		0	8633	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-server/src/main/java/org/apache/hadoop/hive/metastore/HiveMetaStore.java/#L2854-L2895	1	966	8633
402	{"output": "YES I found bad smells\nthe bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Object invoke(String methodName, Object returnValueIfNonExistent, Class[] paramTypes, Object[] params) throws DocletInvokeException { Method meth; try { meth = docletClass.getMethod(methodName, paramTypes); } catch (NoSuchMethodException exc) { if (returnValueIfNonExistent == null) { messager.error(Messager.NOPOS, "main.doclet_method_not_found", docletClassName, methodName); throw new DocletInvokeException(); } else { return returnValueIfNonExistent; } } catch (SecurityException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } if (!Modifier.isStatic(meth.getModifiers())) { messager.error(Messager.NOPOS, "main.doclet_method_must_be_static", docletClassName, methodName); throw new DocletInvokeException(); } ClassLoader savedCCL = Thread.currentThread().getContextClassLoader(); try { if (appClassLoader != null) // will be null if doclet class provided via API Thread.currentThread().setContextClassLoader(appClassLoader); return meth.invoke(null , params); } catch (IllegalArgumentException | NullPointerException exc) { messager.error(Messager.NOPOS, "main.internal_error_exception_thrown", docletClassName, methodName, exc.toString()); throw new DocletInvokeException(); } catch (IllegalAccessException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } catch (InvocationTargetException exc) { Throwable err = exc.getTargetException(); if (apiMode) throw new ClientCodeException(err); if (err instanceof java.lang.OutOfMemoryError) { messager.error(Messager.NOPOS, "main.out.of.memory"); } else { messager.error(Messager.NOPOS, "main.exception_thrown", docletClassName, methodName, exc.toString()); exc.getTargetException().printStackTrace(System.err); } throw new DocletInvokeException(); } finally { Thread.currentThread().setContextClassLoader(savedCCL); } }	long method	1. long method	t	t	t			0	4103	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.javadoc/share/classes/com/sun/tools/javadoc/main/DocletInvoker.java/#L303-L357	1	402	4103
2153	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: void getHashes(List searchHashes, int bitShift) { // We don't need to include 0 because that's always assumed in look ups. If we do return 0, that // means this agent isn't sure what it needs, but the inverse is acceptable because that just // means the airing doesn't know what it matches and it will be tested on all of the agents. searchHashes.clear(); if (title != null) { searchHashes.add((title.ignoreCaseHash >>> bitShift)); } if (person != null) { addHash(person.ignoreCaseHash, searchHashes, bitShift); } if (category != null) { addHash(category.ignoreCaseHash, searchHashes, bitShift); } if (subCategory != null) { addHash(subCategory.ignoreCaseHash, searchHashes, bitShift); } if (chanName.length() > 0) { addHash(chanName.hashCode(), searchHashes, bitShift); } if (chanNames != null && chanNames.length > 0) { for (String chanName : chanNames) { addHash(chanName.hashCode(), searchHashes, bitShift); } } if (network != null) { addHash(network.ignoreCaseHash, searchHashes, bitShift); } if (rated != null) { addHash(rated.ignoreCaseHash, searchHashes, bitShift); } if (year != null) { addHash(year.ignoreCaseHash, searchHashes, bitShift); } if (pr != null) { addHash(pr.ignoreCaseHash, searchHashes, bitShift); } // This will ensure that we do a full search since 0 means at least one of our items doesn't // have a "valid" hash. if (searchHashes.contains(0)) searchHashes.clear(); }	long method	long method	t	t	t			0	13295	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Agent.java/#L1825-L1889	1	2153	13295
781	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean isExists(Object identifier) throws AppCatalogException { HashMap ids; if (identifier instanceof Map) { ids = (HashMap) identifier; } else { logger.error("Identifier should be a map with the field name and it's value"); throw new AppCatalogException("Identifier should be a map with the field name and it's value"); } EntityManager em = null; try { em = AppCatalogJPAUtils.getEntityManager(); ComputeResourcePreference existingPreference = em.find(ComputeResourcePreference.class, new ComputeResourcePreferencePK(ids.get(ComputeResourcePreferenceConstants.GATEWAY_ID), ids.get(ComputeResourcePreferenceConstants.RESOURCE_ID))); if (em.isOpen()) { if (em.getTransaction().isActive()){ em.getTransaction().rollback(); } em.close(); } return existingPreference != null; }catch (Exception e) { logger.error(e.getMessage(), e); throw new AppCatalogException(e); } finally { if (em != null && em.isOpen()) { if (em.getTransaction().isActive()) { em.getTransaction().rollback(); } em.close(); } } }	long method	Long method2 Feature envy	t	f	t			0	7457	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-core/src/main/java/org/apache/airavata/registry/core/app/catalog/resources/ComputeHostPreferenceResource.java/#L522-L556	2	781	7457
2299	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers 3. Duplicate code 4. Hardcoded values 5. Unused variables 6. Poor exception handling 7. Excessive commenting	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String getOatFileInstructionSet(File oatFile) throws Throwable { ShareElfFile elfFile = null; String result = ""; try { elfFile = new ShareElfFile(oatFile); final ShareElfFile.SectionHeader roDataHdr = elfFile.getSectionHeaderByName(".rodata"); if (roDataHdr == null) { throw new IOException("Unable to find .rodata section."); } final FileChannel channel = elfFile.getChannel(); channel.position(roDataHdr.shOffset); final byte[] oatMagicAndVersion = new byte[8]; ShareElfFile.readUntilLimit(channel, ByteBuffer.wrap(oatMagicAndVersion), "Failed to read oat magic and version."); if (oatMagicAndVersion[0] != 'o' || oatMagicAndVersion[1] != 'a' || oatMagicAndVersion[2] != 't' || oatMagicAndVersion[3] != '\n') { throw new IOException( String.format("Bad oat magic: %x %x %x %x", oatMagicAndVersion[0], oatMagicAndVersion[1], oatMagicAndVersion[2], oatMagicAndVersion[3]) ); } final int versionOffsetFromOatBegin = 4; final int versionBytes = 3; final String oatVersion = new String(oatMagicAndVersion, versionOffsetFromOatBegin, versionBytes, Charset.forName("ASCII")); try { Integer.parseInt(oatVersion); } catch (NumberFormatException e) { throw new IOException("Bad oat version: " + oatVersion); } ByteBuffer buffer = ByteBuffer.allocate(128); buffer.order(elfFile.getDataOrder()); // TODO This is a risk point, since each oat version may use a different offset. // So far it's ok. Perhaps we should use oatVersionNum to judge the right offset in // the future. final int isaNumOffsetFromOatBegin = 12; channel.position(roDataHdr.shOffset + isaNumOffsetFromOatBegin); buffer.limit(4); ShareElfFile.readUntilLimit(channel, buffer, "Failed to read isa num."); int isaNum = buffer.getInt(); if (isaNum < 0 || isaNum >= InstructionSet.values().length) { throw new IOException("Bad isa num: " + isaNum); } switch (InstructionSet.values()[isaNum]) { case kArm: case kThumb2: result = "arm"; break; case kArm64: result = "arm64"; break; case kX86: result = "x86"; break; case kX86_64: result = "x86_64"; break; case kMips: result = "mips"; break; case kMips64: result = "mips64"; break; case kNone: result = "none"; break; default: throw new IOException("Should not reach here."); } } finally { if (elfFile != null) { try { elfFile.close(); } catch (Exception ignored) { // Ignored. } } } return result; }	long method	Long method2 Magic numbers3 Duplicate code4 Hardcoded values5 Unused variables6 Poor exception handling7 Excessive commenting	t	f	t			0	14028	https://github.com/Tencent/tinker/blob/7523900600317ebd618f3505434176b381bd0bc2/tinker-android/tinker-android-loader/src/main/java/com/tencent/tinker/loader/shareutil/ShareOatUtil.java/#L48-L139	2	2299	14028
872	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void validateTwoSegments(final IndexableAdapter adapter1, final IndexableAdapter adapter2) { if (adapter1.getNumRows() != adapter2.getNumRows()) { throw new SegmentValidationException( "Row count mismatch. Expected [%d] found [%d]", adapter1.getNumRows(), adapter2.getNumRows() ); } { final Set dimNames1 = Sets.newHashSet(adapter1.getDimensionNames()); final Set dimNames2 = Sets.newHashSet(adapter2.getDimensionNames()); if (!dimNames1.equals(dimNames2)) { throw new SegmentValidationException( "Dimension names differ. Expected [%s] found [%s]", dimNames1, dimNames2 ); } final Set metNames1 = Sets.newHashSet(adapter1.getMetricNames()); final Set metNames2 = Sets.newHashSet(adapter2.getMetricNames()); if (!metNames1.equals(metNames2)) { throw new SegmentValidationException("Metric names differ. Expected [%s] found [%s]", metNames1, metNames2); } } final RowIterator it1 = adapter1.getRows(); final RowIterator it2 = adapter2.getRows(); long row = 0L; while (it1.moveToNext()) { if (!it2.moveToNext()) { throw new SegmentValidationException("Unexpected end of second adapter"); } final RowPointer rp1 = it1.getPointer(); final RowPointer rp2 = it2.getPointer(); ++row; if (rp1.getRowNum() != rp2.getRowNum()) { throw new SegmentValidationException("Row number mismatch: [%d] vs [%d]", rp1.getRowNum(), rp2.getRowNum()); } try { validateRowValues(rp1, adapter1, rp2, adapter2); } catch (SegmentValidationException ex) { throw new SegmentValidationException(ex, "Validation failure on row %d: [%s] vs [%s]", row, rp1, rp2); } } if (it2.moveToNext()) { throw new SegmentValidationException("Unexpected end of first adapter"); } if (row != adapter1.getNumRows()) { throw new SegmentValidationException( "Actual Row count mismatch. Expected [%d] found [%d]", row, adapter1.getNumRows() ); } }	long method	long method, data class	t	t	t	data class		0	7980	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/processing/src/main/java/org/apache/druid/segment/IndexIO.java/#L124-L179	1	872	7980
2046	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void checkAlternativeConstructor() { // Local Declarations MasterDetailsPair mDetailsP; DataComponent dComponent; String MasterType1 = "TypeOne!"; // Setup DataComponent dComponent = new DataComponent(); dComponent.setName(MasterType1); IEntry entry = new StringEntry(); // Add entry to dComponent dComponent.addEntry(entry); // Call Alternative Constructor mDetailsP = new MasterDetailsPair(MasterType1, dComponent); // Check values. Should be typeone and equal to the declared // dataComponent assertEquals(MasterType1, mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // Try to pass null to the constructor - sets values appropriately mDetailsP = new MasterDetailsPair(null, dComponent); // null master assertNull(mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // DataComponent null mDetailsP = new MasterDetailsPair(MasterType1, null); assertEquals(MasterType1, mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); // Both null mDetailsP = new MasterDetailsPair(null, null); assertNull(mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); }	long method	1. long method	t	t	t			0	12872	https://github.com/eclipse/ice/blob/3f6e0265f5b476ff90a660397ce83992944142c4/org.eclipse.ice.tests.datastructures/src/org/eclipse/ice/tests/datastructures/MasterDetailsPairTester.java/#L201-L238	1	2046	12872
2326	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public List discoverHosts(final AddHostCmd cmd) throws IllegalArgumentException, DiscoveryException, InvalidParameterValueException { Long dcId = cmd.getZoneId(); final Long podId = cmd.getPodId(); final Long clusterId = cmd.getClusterId(); String clusterName = cmd.getClusterName(); final String url = cmd.getUrl(); final String username = cmd.getUsername(); final String password = cmd.getPassword(); final List hostTags = cmd.getHostTags(); dcId = _accountMgr.checkAccessAndSpecifyAuthority(CallContext.current().getCallingAccount(), dcId); // this is for standalone option if (clusterName == null && clusterId == null) { clusterName = "Standalone-" + url; } if (clusterId != null) { final ClusterVO cluster = _clusterDao.findById(clusterId); if (cluster == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("can not find cluster for specified clusterId"); ex.addProxyObject(clusterId.toString(), "clusterId"); throw ex; } else { if (cluster.getGuid() == null) { final List hosts = listAllHostsInCluster(clusterId); if (!hosts.isEmpty()) { final CloudRuntimeException ex = new CloudRuntimeException("Guid is not updated for cluster with specified cluster id; need to wait for hosts in this cluster to come up"); ex.addProxyObject(cluster.getUuid(), "clusterId"); throw ex; } } } } return discoverHostsFull(dcId, podId, clusterId, clusterName, url, username, password, cmd.getHypervisor(), hostTags, cmd.getFullUrlParams(), false); }	long method	1. long method	t	t	t			0	14143	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/resource/ResourceManagerImpl.java/#L573-L611	1	2326	14143
1619	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private EntityCollection createETStreamOnComplexProp(Edm edm, OData odata) { EntityCollection entityCollection = new EntityCollection(); Link readLink = new Link(); readLink.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink.setHref("readLink"); Entity entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("darkturquoise"))); readLink.setInlineEntity(entity); Link readLink1 = new Link(); readLink1.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink1.setHref("readLink"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("darkturquoise"))); readLink1.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", Short.MAX_VALUE)) .addProperty(createPrimitive("PropertyInt32", Integer.MAX_VALUE)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, readLink1)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, readLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); Link editLink = new Link(); editLink.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink.setHref("http://mediaserver:1234/editLink"); editLink.setMediaETag("eTag"); editLink.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("royalblue"))); editLink.setInlineEntity(entity); Link editLink2 = new Link(); editLink2.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink2.setHref("http://mediaserver:1234/editLink"); editLink2.setMediaETag("eTag"); editLink2.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("royalblue"))); editLink2.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", (short) 7)) .addProperty(createPrimitive("PropertyInt32", (Integer) 10)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, editLink2)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, editLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); setEntityType(entityCollection, edm.getEntityType(EntityTypeProvider.nameETStreamOnComplexProp)); createEntityId(edm, odata, "ESStreamOnComplexProp", entityCollection); createOperations("ESStreamOnComplexProp", entityCollection, EntityTypeProvider.nameETStreamOnComplexProp); return entityCollection; }	long method	Long method2 Feature envy	t	f	t			0	11477	https://github.com/apache/olingo-odata4/blob/f344a3c565b6a67233de1d1169104a728136e7a3/lib/server-tecsvc/src/main/java/org/apache/olingo/server/tecsvc/data/DataCreator.java/#L158-L221	2	1619	11477
1311	{"result": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	long method, data class	t	t	t	data class		0	10681	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	1	1311	10681
1078	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public AsyncContextEvent(Context context,AsyncContextState asyncContext, HttpChannelState state, Request baseRequest, ServletRequest request, ServletResponse response) { super(null,request,response,null); _context=context; _asyncContext=asyncContext; _state=state; // If we haven't been async dispatched before if (baseRequest.getAttribute(AsyncContext.ASYNC_REQUEST_URI)==null) { // We are setting these attributes during startAsync, when the spec implies that // they are only available after a call to AsyncContext.dispatch(...); // have we been forwarded before? String uri=(String)baseRequest.getAttribute(RequestDispatcher.FORWARD_REQUEST_URI); if (uri!=null) { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,uri); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_CONTEXT_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_SERVLET_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getAttribute(RequestDispatcher.FORWARD_PATH_INFO)); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getAttribute(RequestDispatcher.FORWARD_QUERY_STRING)); } else { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,baseRequest.getRequestURI()); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getContextPath()); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getServletPath()); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getPathInfo()); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getQueryString()); } } }	long method	Long method2 Feature envy	t	f	t			0	9647	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-server/src/main/java/org/eclipse/jetty/server/AsyncContextEvent.java/#L42-L74	2	1078	9647
2748	{"message": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(this.getUnknownFields()); while (true) { int tag = 0; try { tag = input.readTag(); } catch (Exception e) { // do nothing } switch (tag) { case 0 : this.setUnknownFields(unknownFields.build()); onChanged(); return this; default : { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { this.setUnknownFields(unknownFields.build()); onChanged(); return this; } break; } case 10 : { bitField0_ |= 0x00000001; message_ = input.readBytes(); break; } case 16 : { int rawValue = input.readEnum(); org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType value = org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType.valueOf(rawValue); if (value == null) { unknownFields.mergeVarintField(2, rawValue); } else { bitField0_ |= 0x00000002; messageType_ = value; } break; } case 24 : { bitField0_ |= 0x00000004; timestamp_ = input.readSInt64(); break; } case 34 : { bitField0_ |= 0x00000008; appId_ = input.readBytes(); break; } case 50 : { bitField0_ |= 0x00000010; sourceId_ = input.readBytes(); break; } case 58 : { ensureDrainUrlsIsMutable(); drainUrls_.add(input.readBytes()); break; } case 66 : { bitField0_ |= 0x00000040; sourceName_ = input.readBytes(); break; } } } }	long method	1. long method	t	t	t			0	804	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.cf/src/org/eclipse/orion/server/cf/loggregator/LoggregatorMessage.java/#L651-L716	1	2748	804
2422	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void tryStoreVectorizedKey(HiveKey key, boolean partColsIsNull, int batchIndex) throws HiveException, IOException { // Assumption - batchIndex is increasing; startVectorizedBatch was called int size = indexes.size(); int index = size < topN ? size : evicted; keys[index] = Arrays.copyOf(key.getBytes(), key.getLength()); distKeyLengths[index] = key.getDistKeyLength(); hashes[index] = key.hashCode(); Integer collisionIndex = indexes.store(index); if (null != collisionIndex) { /* * since there is a collision index will be used for the next value * so have the map point back to original index. */ if ( indexes instanceof HashForGroup ) { indexes.store(collisionIndex); } // forward conditional on the survival of the corresponding key currently in indexes. ++batchNumForwards; batchIndexToResult[batchIndex] = MAY_FORWARD - collisionIndex; return; } indexToBatchIndex[index] = batchIndex; batchIndexToResult[batchIndex] = index; if (size != topN) return; evicted = indexes.removeBiggest(); // remove the biggest key if (index == evicted) { excluded++; batchIndexToResult[batchIndex] = EXCLUDE; indexToBatchIndex[index] = -1; return; // input key is bigger than any of keys in hash } removed(evicted); int evictedBatchIndex = indexToBatchIndex[evicted]; if (evictedBatchIndex >= 0) { // reset the result for the evicted index batchIndexToResult[evictedBatchIndex] = EXCLUDE; indexToBatchIndex[evicted] = -1; } // Evict all results grouped with this index; it cannot be any key further in the batch. // If we evict a key from this batch, the keys grouped with it cannot be earlier that that key. // If we evict a key that is not from this batch, initial i = (-1) + 1 = 0, as intended. int evictedForward = (MAY_FORWARD - evicted); for (int i = evictedBatchIndex + 1; i < batchIndex && (batchNumForwards > 0); ++i) { if (batchIndexToResult[i] == evictedForward) { batchIndexToResult[i] = EXCLUDE; --batchNumForwards; } } }	long method	1. long method	t	t	t			0	14435	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/TopNHash.java/#L213-L262	1	2422	14435
1058	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static List> getFacilityContactMechValueMaps(Delegator delegator, String facilityId, boolean showOld, String contactMechTypeId) { List> facilityContactMechValueMaps = new LinkedList>(); List allFacilityContactMechs = null; try { List tempCol = EntityQuery.use(delegator).from("FacilityContactMech").where("facilityId", facilityId).queryList(); if (contactMechTypeId != null) { List tempColTemp = new LinkedList(); for (GenericValue partyContactMech: tempCol) { GenericValue contactMech = delegator.getRelatedOne("ContactMech", partyContactMech, false); if (contactMech != null && contactMechTypeId.equals(contactMech.getString("contactMechTypeId"))) { tempColTemp.add(partyContactMech); } } tempCol = tempColTemp; } if (!showOld) tempCol = EntityUtil.filterByDate(tempCol, true); allFacilityContactMechs = tempCol; } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (allFacilityContactMechs == null) return facilityContactMechValueMaps; for (GenericValue facilityContactMech: allFacilityContactMechs) { GenericValue contactMech = null; try { contactMech = facilityContactMech.getRelatedOne("ContactMech", false); } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (contactMech != null) { Map facilityContactMechValueMap = new HashMap(); facilityContactMechValueMaps.add(facilityContactMechValueMap); facilityContactMechValueMap.put("contactMech", contactMech); facilityContactMechValueMap.put("facilityContactMech", facilityContactMech); try { facilityContactMechValueMap.put("contactMechType", contactMech.getRelatedOne("ContactMechType", true)); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { List facilityContactMechPurposes = facilityContactMech.getRelated("FacilityContactMechPurpose", null, null, false); if (!showOld) facilityContactMechPurposes = EntityUtil.filterByDate(facilityContactMechPurposes, true); facilityContactMechValueMap.put("facilityContactMechPurposes", facilityContactMechPurposes); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { if ("POSTAL_ADDRESS".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("postalAddress", contactMech.getRelatedOne("PostalAddress", false)); } else if ("TELECOM_NUMBER".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("telecomNumber", contactMech.getRelatedOne("TelecomNumber", false)); } } catch (GenericEntityException e) { Debug.logWarning(e, module); } } } return facilityContactMechValueMaps; }	long method	long method	t	t	t			0	9520	https://github.com/apache/ofbiz/blob/7ba7f3c2e16df6c8db0d8114e124957199cea1ff/applications/party/src/main/java/org/apache/ofbiz/party/contact/ContactMechWorker.java/#L129-L198	1	1058	9520
1325	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void handleRemainder() { final int remainingRecordCount = incoming.getRecordCount() - remainderIndex; assert this.memoryManager.incomingBatch == incoming; final int recordsToProcess = Math.min(remainingRecordCount, memoryManager.getOutputRowCount()); if (!doAlloc(recordsToProcess)) { outOfMemory = true; return; } logger.trace("handleRemainder: remaining RC {}, toProcess {}, remainder index {}, incoming {}, Project {}", remainingRecordCount, recordsToProcess, remainderIndex, incoming, this); long projectStartTime = System.currentTimeMillis(); final int projRecords = projector.projectRecords(this.incoming, remainderIndex, recordsToProcess, 0); long projectEndTime = System.currentTimeMillis(); logger.trace("handleRemainder: projection: records {}, time {} ms", projRecords,(projectEndTime - projectStartTime)); if (projRecords < remainingRecordCount) { setValueCount(projRecords); this.recordCount = projRecords; remainderIndex += projRecords; } else { setValueCount(remainingRecordCount); hasRemainder = false; remainderIndex = 0; for (final VectorWrapper v : incoming) { v.clear(); } this.recordCount = remainingRecordCount; } // In case of complex writer expression, vectors would be added to batch run-time. // We have to re-build the schema. if (complexWriters != null) { container.buildSchema(SelectionVectorMode.NONE); } memoryManager.updateOutgoingStats(projRecords); RecordBatchStats.logRecordBatchStats(RecordBatchIOType.OUTPUT, this, getRecordBatchStatsContext()); }	long method	Long method2 Feature envy	t	f	t			0	10702	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/project/ProjectRecordBatch.java/#L259-L299	2	1325	10702
3396	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean executeSyncCmsId(NuageVspDeviceVO nuageVspDevice, SyncType syncType) { NuageVspDeviceVO matchingNuageVspDevice = findMatchingNuageVspDevice(nuageVspDevice); if (syncType == SyncType.REGISTER && matchingNuageVspDevice != null) { String cmsId = findNuageVspCmsIdForDeviceOrHost(matchingNuageVspDevice.getId(), matchingNuageVspDevice.getHostId()); registerNewNuageVspDevice(nuageVspDevice.getHostId(), cmsId); return true; } String cmsId = findNuageVspCmsIdForDeviceOrHost(nuageVspDevice.getId(), nuageVspDevice.getHostId()); SyncNuageVspCmsIdCommand syncCmd = new SyncNuageVspCmsIdCommand(syncType, cmsId); SyncNuageVspCmsIdAnswer answer = (SyncNuageVspCmsIdAnswer) _agentMgr.easySend(nuageVspDevice.getHostId(), syncCmd); if (answer != null) { if (answer.getSuccess()) { if (syncType == SyncType.REGISTER || answer.getSyncType() == SyncType.REGISTER) { registerNewNuageVspDevice(nuageVspDevice.getHostId(), answer.getNuageVspCmsId()); } else if (syncType == SyncType.UNREGISTER) { removeLegacyNuageVspDeviceCmsId(nuageVspDevice.getId()); } } else if (syncType == SyncType.AUDIT || syncType == SyncType.AUDIT_ONLY) { s_logger.fatal("Nuage VSP Device with ID " + nuageVspDevice.getId() + " is configured with an unknown CMS ID!"); } } return answer != null && answer.getSuccess(); }	long method	Long method2 Feature envy	t	f	t			0	6591	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/nuage-vsp/src/main/java/com/cloud/network/manager/NuageVspManagerImpl.java/#L686-L711	2	3396	6591
932	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void reset(XMLComponentManager componentManager) throws XMLConfigurationException { XMLSecurityPropertyManager spm = (XMLSecurityPropertyManager)componentManager.getProperty(XML_SECURITY_PROPERTY_MANAGER); if (spm == null) { spm = new XMLSecurityPropertyManager(); setProperty(XML_SECURITY_PROPERTY_MANAGER, spm); } XMLSecurityManager sm = (XMLSecurityManager)componentManager.getProperty(SECURITY_MANAGER); if (sm == null) setProperty(SECURITY_MANAGER,new XMLSecurityManager(true)); faccessExternalSchema = spm.getValue(XMLSecurityPropertyManager.Property.ACCESS_EXTERNAL_SCHEMA); fGrammarBucket.reset(); fSubGroupHandler.reset(); boolean parser_settings = true; // If the component manager is the loader config don't bother querying it since it doesn't // recognize the PARSER_SETTINGS feature. Prevents an XMLConfigurationException from being // thrown. if (componentManager != fLoaderConfig) { parser_settings = componentManager.getFeature(PARSER_SETTINGS, true); } if (!parser_settings || !fSettingsChanged){ // need to reprocess JAXP schema sources fJAXPProcessed = false; // reinitialize grammar bucket initGrammarBucket(); if (fDeclPool != null) { fDeclPool.reset(); } return; } //pass the component manager to the factory.. fNodeFactory.reset(componentManager); // get registered entity manager to be able to resolve JAXP schema-source property: // Note: in case XMLSchemaValidator has created the loader, // the entity manager property is null fEntityManager = (XMLEntityManager)componentManager.getProperty(ENTITY_MANAGER); // get the error reporter fErrorReporter = (XMLErrorReporter)componentManager.getProperty(ERROR_REPORTER); // Determine schema dv factory to use SchemaDVFactory dvFactory = null; dvFactory = fSchemaHandler.getDVFactory(); if (dvFactory == null) { dvFactory = SchemaDVFactory.getInstance(); fSchemaHandler.setDVFactory(dvFactory); } // get schema location properties try { fExternalSchemas = (String) componentManager.getProperty(SCHEMA_LOCATION); fExternalNoNSSchema = (String) componentManager.getProperty(SCHEMA_NONS_LOCATION); } catch (XMLConfigurationException e) { fExternalSchemas = null; fExternalNoNSSchema = null; } // get JAXP sources if available fJAXPSource = componentManager.getProperty(JAXP_SCHEMA_SOURCE, null); fJAXPProcessed = false; // clear grammars, and put the one for schema namespace there fGrammarPool = (XMLGrammarPool) componentManager.getProperty(XMLGRAMMAR_POOL, null); initGrammarBucket(); boolean psvi = componentManager.getFeature(AUGMENT_PSVI, false); // Only use the decl pool when there is no chance that the schema // components will be exposed or cached. // TODO: when someone calls loadGrammar(XMLInputSource), the schema is // always exposed even without the use of a grammar pool. // Disabling the "decl pool" feature for now until we understand when // it can be safely used. if (!psvi && fGrammarPool == null && false) { if (fDeclPool != null) { fDeclPool.reset(); } else { fDeclPool = new XSDeclarationPool(); } fCMBuilder.setDeclPool(fDeclPool); fSchemaHandler.setDeclPool(fDeclPool); if (dvFactory instanceof SchemaDVFactoryImpl) { fDeclPool.setDVFactory((SchemaDVFactoryImpl)dvFactory); ((SchemaDVFactoryImpl)dvFactory).setDeclPool(fDeclPool); } } else { fCMBuilder.setDeclPool(null); fSchemaHandler.setDeclPool(null); if (dvFactory instanceof SchemaDVFactoryImpl) { ((SchemaDVFactoryImpl)dvFactory).setDeclPool(null); } } // get continue-after-fatal-error feature try { boolean fatalError = componentManager.getFeature(CONTINUE_AFTER_FATAL_ERROR, false); if (!fatalError) { fErrorReporter.setFeature(CONTINUE_AFTER_FATAL_ERROR, fatalError); } } catch (XMLConfigurationException e) { } // set full validation to false fIsCheckedFully = componentManager.getFeature(SCHEMA_FULL_CHECKING, false); // get generate-synthetic-annotations feature fSchemaHandler.setGenerateSyntheticAnnotations(componentManager.getFeature(GENERATE_SYNTHETIC_ANNOTATIONS, false)); fSchemaHandler.reset(componentManager); }	long method	long method	t	t	t			0	8357	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/impl/xs/XMLSchemaLoader.java/#L1000-L1116	1	932	8357
2343	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void writeTransactionResponse(ResponseCode response, String explanation) throws IOException { HttpCommunicationsSession commSession = (HttpCommunicationsSession) peer.getCommunicationsSession(); if(TransferDirection.RECEIVE.equals(direction)){ switch (response) { case CONFIRM_TRANSACTION: logger.debug("{} Confirming transaction. checksum={}", this, explanation); commSession.setChecksum(explanation); break; case TRANSACTION_FINISHED: logger.debug("{} Finishing transaction.", this); break; case CANCEL_TRANSACTION: logger.debug("{} Canceling transaction. explanation={}", this, explanation); TransactionResultEntity resultEntity = apiClient.commitReceivingFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION, null); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } break; } } else { switch (response) { case FINISH_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Finished sending flow files.", this); break; case BAD_CHECKSUM: { TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.BAD_CHECKSUM); ResponseCode badChecksumCancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (badChecksumCancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} BAD_CHECKSUM, The transaction is canceled on server properly.", this); break; default: logger.warn("{} BAD_CHECKSUM, Expected the transaction is canceled on server, but received {}.", this, badChecksumCancelResponse); break; } } break; case CONFIRM_TRANSACTION: // The actual HTTP request will be sent in readTransactionResponse. logger.debug("{} Transaction is confirmed.", this); break; case CANCEL_TRANSACTION: { logger.debug("{} Canceling transaction.", this); TransactionResultEntity resultEntity = apiClient.commitTransferFlowFiles(transactionUrl, ResponseCode.CANCEL_TRANSACTION); ResponseCode cancelResponse = ResponseCode.fromCode(resultEntity.getResponseCode()); switch (cancelResponse) { case CANCEL_TRANSACTION: logger.debug("{} CANCEL_TRANSACTION, The transaction is canceled on server properly.", this); break; default: logger.warn("{} CANCEL_TRANSACTION, Expected the transaction is canceled on server, but received {}.", this, cancelResponse); break; } } break; } } }	long method	Long method2 Feature envy	t	f	t			0	14182	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-commons/nifi-site-to-site-client/src/main/java/org/apache/nifi/remote/protocol/http/HttpClientTransaction.java/#L110-L176	2	2343	14182
2447	{"message": "YES I found bad smells", "bad smells are": ["Data Class", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); // define symbols mPointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.Style.SQUARE, 0xFFFF0000, 20); mLineSymbol = new SimpleLineSymbol(SimpleLineSymbol.Style.SOLID, 0xFFFF8800, 4); mFillSymbol = new SimpleFillSymbol(SimpleFillSymbol.Style.CROSS, 0x40FFA9A9, mLineSymbol); // inflate map view from layout mMapView = findViewById(R.id.mapView); // create a map with the Basemap Type topographic ArcGISMap map = new ArcGISMap(Basemap.Type.LIGHT_GRAY_CANVAS, 34.056295, -117.195800, 16); // set the map to be displayed in this view mMapView.setMap(map); mGraphicsOverlay = new GraphicsOverlay(); mMapView.getGraphicsOverlays().add(mGraphicsOverlay); // create a new sketch editor and add it to the map view mSketchEditor = new SketchEditor(); mMapView.setSketchEditor(mSketchEditor); // get buttons from layouts mPointButton = findViewById(R.id.pointButton); mMultiPointButton = findViewById(R.id.pointsButton); mPolylineButton = findViewById(R.id.polylineButton); mPolygonButton = findViewById(R.id.polygonButton); mFreehandLineButton = findViewById(R.id.freehandLineButton); mFreehandPolygonButton = findViewById(R.id.freehandPolygonButton); // add click listeners mPointButton.setOnClickListener(view -> createModePoint()); mMultiPointButton.setOnClickListener(view -> createModeMultipoint()); mPolylineButton.setOnClickListener(view -> createModePolyline()); mPolygonButton.setOnClickListener(view -> createModePolygon()); mFreehandLineButton.setOnClickListener(view -> createModeFreehandLine()); mFreehandPolygonButton.setOnClickListener(view -> createModeFreehandPolygon()); }	long method	data class, long method	t	t	t	data class		0	14497	https://github.com/Esri/arcgis-runtime-samples-android/blob/22b9a4c99c82a75a128b64703c0c1ffb2f9f5293/java/sketch-editor/src/main/java/com/esri/arcgisruntime/sample/sketcheditor/MainActivity.java/#L44-L83	1	2447	14497
2583	YES found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	Long method2 Feature envy	t	f	t			0	14963	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	2	2583	14963
1397	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void reloadExpectedTimeAndConfig(SLACalcStatus slaCalc) throws JPAExecutorException { SLARegistrationBean regBean = SLARegistrationQueryExecutor.getInstance().get( SLARegQuery.GET_SLA_EXPECTED_VALUE_CONFIG, slaCalc.getId()); if (regBean.getExpectedDuration() > 0) { slaCalc.getSLARegistrationBean().setExpectedDuration(regBean.getExpectedDuration()); } if (regBean.getExpectedEnd() != null) { slaCalc.getSLARegistrationBean().setExpectedEnd(regBean.getExpectedEnd()); } if (regBean.getExpectedStart() != null) { slaCalc.getSLARegistrationBean().setExpectedStart(regBean.getExpectedStart()); } if (regBean.getSLAConfigMap().containsKey(OozieClient.SLA_DISABLE_ALERT)) { slaCalc.getSLARegistrationBean().addToSLAConfigMap(OozieClient.SLA_DISABLE_ALERT, regBean.getSLAConfigMap().get(OozieClient.SLA_DISABLE_ALERT)); } if (regBean.getNominalTime() != null) { slaCalc.getSLARegistrationBean().setNominalTime(regBean.getNominalTime()); } }	long method	Long method2 Feature envy	t	f	t			0	10854	https://github.com/apache/oozie/blob/491e73ee9f941dfb25dfe92121fb033295ef42ee/core/src/main/java/org/apache/oozie/sla/SLACalculatorMemory.java/#L540-L560	2	1397	10854
1026	{"response": "YES I found bad smells\nthe bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void writeFinalRule(Writer writer, boolean isDst, AnnualTimeZoneRule rule, int fromRawOffset, int fromDSTSavings, long startTime) throws IOException{ DateTimeRule dtrule = toWallTimeRule(rule.getRule(), fromRawOffset, fromDSTSavings); // If the rule's mills in a day is out of range, adjust start time. // Olson tzdata supports 24:00 of a day, but VTIMEZONE does not. // See ticket#7008/#7518 int timeInDay = dtrule.getRuleMillisInDay(); if (timeInDay < 0) { startTime = startTime + (0 - timeInDay); } else if (timeInDay >= Grego.MILLIS_PER_DAY) { startTime = startTime - (timeInDay - (Grego.MILLIS_PER_DAY - 1)); } int toOffset = rule.getRawOffset() + rule.getDSTSavings(); switch (dtrule.getDateRuleType()) { case DateTimeRule.DOM: writeZonePropsByDOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), startTime, MAX_TIME); break; case DateTimeRule.DOW: writeZonePropsByDOW(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleWeekInMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_GEQ_DOM: writeZonePropsByDOW_GEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_LEQ_DOM: writeZonePropsByDOW_LEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; } }	long method	1. long method	t	t	t			0	9361	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/external/icu/android_icu4j/src/main/java/android/icu/util/VTimeZone.java/#L1661-L1695	1	1026	9361
230	{"message": "YES I found bad smells", "bad smells are": ["1. Long method", "2. Feature envy"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String getNamespaceURI(Node node) { if (node instanceof Document) { node = ((Document) node).getDocumentElement(); } Element element = (Element) node; String uri = element.getNamespaceURI(); if (uri == null) { String prefix = getPrefix(node); String qname = prefix == null ? "xmlns" : "xmlns:" + prefix; Node aNode = node; while (aNode != null) { if (aNode.getNodeType() == Node.ELEMENT_NODE) { Attr attr = ((Element) aNode).getAttributeNode(qname); if (attr != null) { uri = attr.getValue(); break; } } aNode = aNode.getParentNode(); } } return "".equals(uri) ? null : uri; }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2513	https://github.com/apache/commons-jxpath/blob/eff47ab8ca52fdbc91d1313cc224324465dd043e/src/main/java/org/apache/commons/jxpath/ri/model/dom/DOMNodePointer.java/#L672-L697	2	230	2513
2185	YES I found bad smells the bad smells are: Long method, Duplicated code, Complex code, Feature envy, Inconsistent naming convention, Unnecessary comments.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: Type asTuple() { final Type result; if (types.size() == 0) { result = unit.getEmptyType(); } else { final Type sequentialType; if (variadic) { Part part = new Part("Sequence", Collections.singletonList(getLast())); sequentialType = loadType("ceylon.language", atLeastOne ? "ceylon.language.Sequence" : "ceylon.language.Sequential", part, null); } else { sequentialType = unit.getEmptyType(); } if (variadic && types.size() == 1) { result = sequentialType; } else { Part part = new Part(); // if we're variadic we put the element type there because we skip it below // if we're not variadic we are not going to skip it so let's not union it with itself Type union = variadic ? getLast() : null; Type tupleType = sequentialType; // A,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // A=,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // tupleType = [A,[B]|[]]|[] // A=,B* // union = B // tupleType = [B*] // t = A // union = A|B // tupleType = [A,[B*]] // tupleType = [A,[B*]]|[] int makeDefaulted = defaulted; for (int ii = types.size()-(variadic? 2 : 1); ii >= 0; ii--) { Type t = types.get(ii); // FIXME: subtyping in the type parser may cause issues if(union != null) // any second element (variadic or not) union = ModelUtil.unionType(union, t, unit); else union = t; // any first element part.parameters = Arrays.asList(union, t, tupleType); part.name = "Tuple"; tupleType = loadType("ceylon.language", "ceylon.language.Tuple", part, null); if(makeDefaulted > 0){ makeDefaulted--; tupleType = union(Arrays.asList(unit.getEmptyType(), tupleType), unit); } } result = tupleType; } } return result; }	long method	Long method,Duplicated code,Complex code,Feature envy,Inconsistent naming convention,Unnecessary comments	t	f	t	Duplicated code, Complex code, Feature envy, Inconsistent naming convention, Unnecessary comments.		0	13430	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/model/src/org/eclipse/ceylon/model/loader/TypeParser.java/#L431-L505	2	2185	13430
1103	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static void copyDirectory(final File srcDir, final File destDir) throws IOException { if (srcDir == null) { throw new NullPointerException("Source must not be null"); } if (destDir == null) { throw new NullPointerException("Destination must not be null"); } if (!srcDir.exists()) { throw new FileNotFoundException("Source '" + srcDir + "' does not exist"); } if (!srcDir.isDirectory()) { throw new IOException("Source '" + srcDir + "' exists but is not a directory"); } if (srcDir.getCanonicalPath().equals(destDir.getCanonicalPath())) { throw new IOException("Source '" + srcDir + "' and destination '" + destDir + "' are the same"); } // Cater for destination being directory within the source directory (see IO-141) List exclusionList = null; if (destDir.getCanonicalPath().startsWith(srcDir.getCanonicalPath())) { final File[] srcFiles = srcDir.listFiles(); if (srcFiles != null && srcFiles.length > 0) { exclusionList = new ArrayList<>(srcFiles.length); for (final File srcFile : srcFiles) { final File copiedFile = new File(destDir, srcFile.getName()); exclusionList.add(copiedFile.getCanonicalPath()); } } } doCopyDirectory(srcDir, destDir, exclusionList); }	long method	Long method2 Feature envy	t	f	t			0	9847	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-loader/src/main/java/org/apache/openejb/loader/IO.java/#L193-L223	2	1103	9847
2504	YES I found bad smells the bad smells are: 1. Long method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void validateDepositDetailForUpdate(final JsonElement element, final FromJsonHelper fromApiJsonHelper, final DataValidatorBuilder baseDataValidator) { if (fromApiJsonHelper.parameterExists(nameParamName, element)) { final String name = fromApiJsonHelper.extractStringNamed(nameParamName, element); baseDataValidator.reset().parameter(nameParamName).value(name).notBlank().notExceedingLengthOf(100); } if (fromApiJsonHelper.parameterExists(shortNameParamName, element)) { final String shortName = fromApiJsonHelper.extractStringNamed(shortNameParamName, element); baseDataValidator.reset().parameter(shortNameParamName).value(shortName).notBlank().notExceedingLengthOf(4); } if (fromApiJsonHelper.parameterExists(descriptionParamName, element)) { final String description = fromApiJsonHelper.extractStringNamed(descriptionParamName, element); baseDataValidator.reset().parameter(descriptionParamName).value(description).notBlank().notExceedingLengthOf(500); } if (fromApiJsonHelper.parameterExists(currencyCodeParamName, element)) { final String currencyCode = fromApiJsonHelper.extractStringNamed(currencyCodeParamName, element); baseDataValidator.reset().parameter(currencyCodeParamName).value(currencyCode).notBlank(); } if (fromApiJsonHelper.parameterExists(digitsAfterDecimalParamName, element)) { final Integer digitsAfterDecimal = fromApiJsonHelper.extractIntegerSansLocaleNamed(digitsAfterDecimalParamName, element); baseDataValidator.reset().parameter(digitsAfterDecimalParamName).value(digitsAfterDecimal).notNull().inMinMaxRange(0, 6); } if (fromApiJsonHelper.parameterExists(inMultiplesOfParamName, element)) { final Integer inMultiplesOf = fromApiJsonHelper.extractIntegerNamed(inMultiplesOfParamName, element, Locale.getDefault()); baseDataValidator.reset().parameter(inMultiplesOfParamName).value(inMultiplesOf).ignoreIfNull().integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(nominalAnnualInterestRateParamName, element)) { final BigDecimal interestRate = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(nominalAnnualInterestRateParamName, element); baseDataValidator.reset().parameter(nominalAnnualInterestRateParamName).value(interestRate).notNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(interestCompoundingPeriodTypeParamName, element)) { final Integer interestCompoundingPeriodType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCompoundingPeriodTypeParamName, element); baseDataValidator.reset().parameter(interestCompoundingPeriodTypeParamName).value(interestCompoundingPeriodType).notNull() .isOneOfTheseValues(SavingsCompoundingInterestPeriodType.integerValues()); } if (fromApiJsonHelper.parameterExists(interestCalculationTypeParamName, element)) { final Integer interestCalculationType = fromApiJsonHelper.extractIntegerSansLocaleNamed(interestCalculationTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationTypeParamName).value(interestCalculationType).notNull() .inMinMaxRange(1, 2); } if (fromApiJsonHelper.parameterExists(interestCalculationDaysInYearTypeParamName, element)) { final Integer interestCalculationDaysInYearType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCalculationDaysInYearTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationDaysInYearTypeParamName).value(interestCalculationDaysInYearType) .notNull().isOneOfTheseValues(360, 365); } if (fromApiJsonHelper.parameterExists(minRequiredOpeningBalanceParamName, element)) { final BigDecimal minOpeningBalance = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(minRequiredOpeningBalanceParamName, element); baseDataValidator.reset().parameter(minRequiredOpeningBalanceParamName).value(minOpeningBalance).ignoreIfNull() .zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyParamName, element)) { final Integer lockinPeriodFrequency = fromApiJsonHelper.extractIntegerWithLocaleNamed(lockinPeriodFrequencyParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyParamName).value(lockinPeriodFrequency).ignoreIfNull() .integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyTypeParamName, element)) { final Integer lockinPeriodFrequencyType = fromApiJsonHelper.extractIntegerSansLocaleNamed(lockinPeriodFrequencyTypeParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyTypeParamName).value(lockinPeriodFrequencyType).inMinMaxRange(0, 3); } if (fromApiJsonHelper.parameterExists(withdrawalFeeForTransfersParamName, element)) { final Boolean isWithdrawalFeeApplicableForTransfers = fromApiJsonHelper.extractBooleanNamed(withdrawalFeeForTransfersParamName, element); baseDataValidator.reset().parameter(withdrawalFeeForTransfersParamName).value(isWithdrawalFeeApplicableForTransfers) .ignoreIfNull().validateForBooleanValue(); } if (fromApiJsonHelper.parameterExists(feeAmountParamName, element)) { final BigDecimal annualFeeAmount = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(feeAmountParamName, element); baseDataValidator.reset().parameter(feeAmountParamName).value(annualFeeAmount).ignoreIfNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(feeOnMonthDayParamName, element)) { final MonthDay monthDayOfAnnualFee = fromApiJsonHelper.extractMonthDayNamed(feeOnMonthDayParamName, element); baseDataValidator.reset().parameter(feeOnMonthDayParamName).value(monthDayOfAnnualFee).ignoreIfNull(); } if (this.fromApiJsonHelper.parameterExists(minBalanceForInterestCalculationParamName, element)) { final BigDecimal minBalanceForInterestCalculation = this.fromApiJsonHelper.extractBigDecimalWithLocaleNamed( minBalanceForInterestCalculationParamName, element); baseDataValidator.reset().parameter(minBalanceForInterestCalculationParamName).value(minBalanceForInterestCalculation) .ignoreIfNull().zeroOrPositiveAmount(); } final Long savingsControlAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue()).value(savingsControlAccountId) .ignoreIfNull().integerGreaterThanZero(); final Long savingsReferenceAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue()) .value(savingsReferenceAccountId).ignoreIfNull().integerGreaterThanZero(); final Long transfersInSuspenseAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue()) .value(transfersInSuspenseAccountId).ignoreIfNull().integerGreaterThanZero(); final Long interestOnSavingsAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue()) .value(interestOnSavingsAccountId).ignoreIfNull().integerGreaterThanZero(); final Long incomeFromFeeId = fromApiJsonHelper.extractLongNamed(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue()).value(incomeFromFeeId) .ignoreIfNull().integerGreaterThanZero(); final Long incomeFromPenaltyId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue()).value(incomeFromPenaltyId) .ignoreIfNull().integerGreaterThanZero(); validatePaymentChannelFundSourceMappings(fromApiJsonHelper, baseDataValidator, element); validateChargeToIncomeAccountMappings(fromApiJsonHelper, baseDataValidator, element); validateTaxWithHoldingParams(baseDataValidator, element, false); }	long method	Long method2 Feature Envy	t	f	t			0	14666	https://github.com/apache/fineract/blob/210e380df3ca5c74c8c2fa09e7fe1cffdb87e20a/fineract-provider/src/main/java/org/apache/fineract/portfolio/savings/data/DepositProductDataValidator.java/#L413-L547	2	2504	14666
5325	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @SuppressWarnings("unchecked") public int executeUpdate(final String inSql) throws SQLException { this.sql = inSql; if (this.sql == null) { throw new SQLException("sql is null"); } trimSQL(); if (this.sql.length() == 0) { throw new SQLException("empty sql"); } String lowcaseSql = this.sql.toLowerCase(); Object req = null; // TODO use patterns if (lowcaseSql.startsWith("create domain") || lowcaseSql.startsWith("create table")) { //$NON-NLS-1$ int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); req = new CreateDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete domain") || lowcaseSql.startsWith("delete table") //$NON-NLS-1$ || lowcaseSql.startsWith("drop table")) { int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); List pending = this.conn.getPendingColumns(domain); if (pending != null) { pending = new ArrayList<>(pending); for (String attr : pending) { this.conn.removePendingColumn(domain, attr); } } req = new DeleteDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete from")) { req = prepareDeleteRowRequest(); } else if (lowcaseSql.startsWith("alter table ")) { req = prepareDropAttributeRequest(); } else if (lowcaseSql.startsWith("insert ")) { req = prepareInsertRequest(); } else if (lowcaseSql.startsWith("update ")) { req = prepareUpdateRequest(); } else if (lowcaseSql.startsWith("create testdomain ")) { req = new ArrayList<>(); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(this.sql.lastIndexOf(" ") + 1).trim(), //$NON-NLS-1$ DELIMITED_IDENTIFIER_QUOTE); ((List) req).add(new CreateDomainRequest().withDomainName(domain)); ReplaceableAttribute attr = new ReplaceableAttribute().withName("attr1").withValue("val1").withReplace(Boolean.TRUE); for (int i = 0; i < 570; i++) { ((List) req).add(new PutAttributesRequest().withDomainName(domain).withItemName("item" + i).withAttributes(attr)); } } if (req != null) { int result = executeSDBRequest(req); if (this.params != null) { for (Object obj : this.params) { if (obj instanceof SimpleDBItemName) { ((SimpleDBItemName) obj).setPersisted(true); } } } return result; } throw new SQLException("unsupported update: " + this.sql); }	long method	long method	t	t	t			0	14949	https://github.com/aws/aws-toolkit-eclipse/blob/49026f53fdd4f80a7fb997c9e40fe6e638a26edc/bundles/com.amazonaws.eclipse.simpledb/src/com/amazonaws/eclipse/datatools/enablement/simpledb/internal/driver/JdbcStatement.java/#L432-L502	1	5325	14949
1142	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override ValueNode preprocess(int numTables, FromList outerFromList, SubqueryList outerSubqueryList, PredicateList outerPredicateList) throws StandardException { /* Only preprocess this node once. We may get called multiple times * due to tree transformations. */ if (preprocessed) { return this; } preprocessed = true; boolean flattenable; ValueNode topNode = this; final boolean haveOrderBy; // need to remember for flattening decision // Push the order by list down to the ResultSet if (orderByList != null) { haveOrderBy = true; // If we have more than 1 ORDERBY columns, we may be able to // remove duplicate columns, e.g., "ORDER BY 1, 1, 2". if (orderByList.size() > 1) { orderByList.removeDupColumns(); } resultSet.pushOrderByList(orderByList); orderByList = null; } else { haveOrderBy = false; } resultSet = resultSet.preprocess(numTables, null, (FromList) null); if (leftOperand != null) { leftOperand = leftOperand.preprocess(numTables, outerFromList, outerSubqueryList, outerPredicateList); } // Eliminate any unnecessary DISTINCTs if (resultSet instanceof SelectNode) { if (((SelectNode) resultSet).hasDistinct()) { ((SelectNode) resultSet).clearDistinct(); /* We need to remember to check for single unique value * at execution time for expression subqueries. */ if (subqueryType == EXPRESSION_SUBQUERY) { distinctExpression = true; } } } /* Lame transformation - For IN/ANY subqueries, if * result set is guaranteed to return at most 1 row * and it is not correlated * then convert the subquery into the matching expression * subquery type. For example: * c1 in (select min(c1) from t2) * becomes: * c1 = (select min(c1) from t2) * (This actually showed up in an app that a potential customer * was porting from SQL Server.) * The transformed query can then be flattened if appropriate. */ if ((isIN() || isANY()) && resultSet.returnsAtMostOneRow()) { if (! hasCorrelatedCRs()) { changeToCorrespondingExpressionType(); } } /* NOTE: Flattening occurs before the pushing of * the predicate, since the pushing will add a node * above the SubqueryNode. */ /* Values subquery is flattenable if: * o It is not under an OR. * o It is not a subquery in a having clause (DERBY-3257) * o It is an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ flattenable = (resultSet instanceof RowResultSetNode) && underTopAndNode && !havingSubquery && !haveOrderBy && offset == null && fetchFirst == null && !isWhereExistsAnyInWithWhereSubquery() && parentComparisonOperator != null; if (flattenable) { /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ leftOperand = parentComparisonOperator.getLeftOperand(); // Flatten the subquery RowResultSetNode rrsn = (RowResultSetNode) resultSet; FromList fl = new FromList(getContextManager()); // Remove ourselves from the outer subquery list outerSubqueryList.removeElement(this); /* We only need to add the table from the subquery into * the outer from list if the subquery itself contains * another subquery. Otherwise, it just becomes a constant. */ if (rrsn.subquerys.size() != 0) { fl.addElement(rrsn); outerFromList.destructiveAppend(fl); } /* Append the subquery's subquery list to the * outer subquery list. */ outerSubqueryList.destructiveAppend(rrsn.subquerys); /* return the new join condition * If we are flattening an EXISTS then there is no new join * condition since there is no leftOperand. Simply return * TRUE. * * NOTE: The outer where clause, etc. has already been normalized, * so we simply return the BinaryComparisonOperatorNode above * the new join condition. */ return getNewJoinCondition(leftOperand, getRightOperand()); } /* Select subquery is flattenable if: * o It is not under an OR. * o The subquery type is IN, ANY or EXISTS or * an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o There are no aggregates in the select list * o There is no group by clause or having clause. * o There is a uniqueness condition that ensures * that the flattening of the subquery will not * introduce duplicates into the result set. * o The subquery is not part of a having clause (DERBY-3257) * o There are no windows defined on it * * OR, * o The subquery is NOT EXISTS, NOT IN, ALL (beetle 5173). * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ boolean flattenableNotExists = (isNOT_EXISTS() || canAllBeFlattened()); flattenable = (resultSet instanceof SelectNode) && !((SelectNode)resultSet).hasWindows() && !haveOrderBy && offset == null && fetchFirst == null && underTopAndNode && !havingSubquery && !isWhereExistsAnyInWithWhereSubquery() && (isIN() || isANY() || isEXISTS() || flattenableNotExists || parentComparisonOperator != null); if (flattenable) { SelectNode select = (SelectNode) resultSet; if ((!select.hasAggregatesInSelectList()) && (select.havingClause == null)) { ValueNode origLeftOperand = leftOperand; /* Check for uniqueness condition. */ /* Is the column being returned by the subquery * a candidate for an = condition? */ boolean additionalEQ = (subqueryType == IN_SUBQUERY) || (subqueryType == EQ_ANY_SUBQUERY); additionalEQ = additionalEQ && ((leftOperand instanceof ConstantNode) || (leftOperand instanceof ColumnReference) || (leftOperand.requiresTypeFromContext())); /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ if (parentComparisonOperator != null) { leftOperand = parentComparisonOperator.getLeftOperand(); } /* Never flatten to normal join for NOT EXISTS. */ if ((! flattenableNotExists) && select.uniqueSubquery(additionalEQ)) { // Flatten the subquery return flattenToNormalJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList); } /* We can flatten into an EXISTS join if all of the above * conditions except for a uniqueness condition are true * and: * o Subquery only has a single entry in its from list * and that entry is a FromBaseTable * o All predicates in the subquery's where clause are * pushable. * o The leftOperand, if non-null, is pushable. * If the subquery meets these conditions then we will flatten * the FBT into an EXISTS FBT, pushd the subquery's * predicates down to the PRN above the EBT and * mark the predicates to say that they cannot be pulled * above the PRN. (The only way that we can guarantee correctness * is if the predicates do not get pulled up. If they get pulled * up then the single next logic for an EXISTS join does not work * because that row may get disqualified at a higher level.) * DERBY-4001: Extra conditions to allow flattening to a NOT * EXISTS join (in a NOT EXISTS join it does matter on which * side of the join predicates/restrictions are applied): * o All the predicates must reference the FBT, otherwise * predicates meant for the right side of the join may be * applied to the left side of the join. * o The right operand (in ALL and NOT IN) must reference the * FBT, otherwise the generated join condition may be used * to restrict the left side of the join. */ else if ( (isIN() || isANY() || isEXISTS() || flattenableNotExists) && ((leftOperand == null) ? true : leftOperand.categorize(new JBitSet(numTables), false)) && select.getWherePredicates().allPushable()) { FromBaseTable fbt = singleFromBaseTable(select.getFromList()); if (fbt != null && (!flattenableNotExists || (select.getWherePredicates().allReference(fbt) && rightOperandFlattenableToNotExists(numTables, fbt)))) { return flattenToExistsJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList, flattenableNotExists); } } // restore leftOperand to its original value leftOperand = origLeftOperand; } } resultSet.pushQueryExpressionSuffix(); resultSet.pushOffsetFetchFirst( offset, fetchFirst, hasJDBClimitClause ); /* We transform the leftOperand and the select list for quantified * predicates that have a leftOperand into a new predicate and push it * down to the subquery after we preprocess the subquery's resultSet. * We must do this after preprocessing the underlying subquery so that * we know where to attach the new predicate. * NOTE - If we pushed the predicate before preprocessing the underlying * subquery, then the point of attachment would depend on the form of * that subquery. (Where clause? Having clause?) */ if (leftOperand != null) { topNode = pushNewPredicate(numTables); pushedNewPredicate = true; } /* EXISTS and NOT EXISTS subqueries that haven't been flattened, need * an IS [NOT] NULL node on top so that they return a BOOLEAN. Other * cases are taken care of in pushNewPredicate. */ else if (isEXISTS() || isNOT_EXISTS()) { topNode = genIsNullTree(isEXISTS()); subqueryType = EXISTS_SUBQUERY; } /* ** Do inVariant and correlated checks now. We ** aren't going to use the results here, but they ** have been stashed away by isInvariant() and hasCorrelatedCRs() */ isInvariant(); hasCorrelatedCRs(); /* If parentComparisonOperator is non-null then we are an * expression subquery that was considered to be a candidate * for flattening, but we didn't get flattened. In that case * we are the rightOperand of the parent. We need to update * the parent's rightOperand with the new topNode and return * the parent because the parent is letting us decide whether * or not to replace the entire comparison, which we can do * if we flatten. Otherwise we simply return the new top node. */ if (parentComparisonOperator != null) { parentComparisonOperator.setRightOperand(topNode); return parentComparisonOperator; } return topNode; }	long method	long method	t	t	t			0	10095	https://github.com/apache/derby/blob/bd246fc89d4fce3f82f8344074ecb8a4713418df/java/org.apache.derby.engine/org/apache/derby/impl/sql/compile/SubqueryNode.java/#L606-L926	1	1142	10095
934	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected float removeInstanceTime(InstanceTime time, boolean isBegin) { // Trace.enter(this, "removeInstanceTime", new Object[] { time, new Boolean(isBegin) } ); try { hasPropagated = true; List instanceTimes = isBegin ? beginInstanceTimes : endInstanceTimes; int index = Collections.binarySearch(instanceTimes, time); for (int i = index; i >= 0; i--) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } int len = instanceTimes.size(); for (int i = index + 1; i < len; i++) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } shouldUpdateCurrentInterval = true; float ret; if (root.isSampling() && !isSampling) { ret = sampleAt(root.getCurrentTime(), root.isHyperlinking()); } else { ret = Float.POSITIVE_INFINITY; } hasPropagated = false; root.currentIntervalWillUpdate(); return ret; // } finally { Trace.exit(); } }	long method	Long method2 Duplicate code3 Feature envy	t	f	t			0	8390	https://github.com/apache/batik/blob/8b9b758641a11c43c4e9493386268fa0dc5c7efb/batik-anim/src/main/java/org/apache/batik/anim/timing/TimedElement.java/#L306-L343	2	934	8390
1419	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ShardHandler getAndPrepShardHandler(SolrQueryRequest req, ResponseBuilder rb) { ShardHandler shardHandler = null; CoreContainer cc = req.getCore().getCoreContainer(); boolean isZkAware = cc.isZooKeeperAware(); rb.isDistrib = req.getParams().getBool(DISTRIB, isZkAware); if (!rb.isDistrib) { // for back compat, a shards param with URLs like localhost:8983/solr will mean that this // search is distributed. final String shards = req.getParams().get(ShardParams.SHARDS); rb.isDistrib = ((shards != null) && (shards.indexOf('/') > 0)); } if (rb.isDistrib) { shardHandler = shardHandlerFactory.getShardHandler(); shardHandler.prepDistributed(rb); if (!rb.isDistrib) { shardHandler = null; // request is not distributed after all and so the shard handler is not needed } } if (isZkAware) { String shardsTolerant = req.getParams().get(ShardParams.SHARDS_TOLERANT); boolean requireZkConnected = shardsTolerant != null && shardsTolerant.equals(ShardParams.REQUIRE_ZK_CONNECTED); ZkController zkController = cc.getZkController(); boolean zkConnected = zkController != null && ! zkController.getZkClient().getConnectionManager().isLikelyExpired(); if (requireZkConnected && false == zkConnected) { throw new SolrException(SolrException.ErrorCode.SERVER_ERROR, "ZooKeeper is not connected"); } else { NamedList headers = rb.rsp.getResponseHeader(); if (headers != null) { headers.add("zkConnected", zkConnected); } } } return shardHandler; }	long method	Long method2 Feature envy	t	f	t			0	10925	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/handler/component/SearchHandler.java/#L211-L248	2	1419	10925
1053	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy: next(), interceptors, interceptor.getInstance(), interceptor.getMethod(), LifecycleInvocation, InterceptorInvocation, operation.equals(), method.getParameterTypes(), InvocationContext.getTimer(), BeanInvocation, target, method, methodParameters, parameters 3. Cognitive complexity: multiple conditional statements and nested if statements make the code difficult to understand and reason about 4. Mixing of business logic and method implementation: the code is performing both business logic and method implementation, making it less cohesive 5. Magic numbers: the code contains integer values (e.g. 1 and 0) without any explanation or clear purpose, making it difficult to understand 6. Lack of comments: there are no comments in the code explaining the purpose or logic behind certain decisions or methods, making it difficult for future developers to understand 7. Poor naming conventions: variable names such as "next" and "method" are not descriptive enough, making it difficult to understand their purpose and usage	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Invocation next() { if (interceptors.hasNext()) { final Interceptor interceptor = interceptors.next(); final Object nextInstance = interceptor.getInstance(); final Method nextMethod = interceptor.getMethod(); if (nextMethod.getParameterTypes().length == 1 && nextMethod.getParameterTypes()[0] == InvocationContext.class) { return new InterceptorInvocation(nextInstance, nextMethod, this); } else { return new LifecycleInvocation(nextInstance, nextMethod, this, parameters); } } else if (method != null) { //EJB 3.1, it is allowed that timeout method does not have parameter Timer.class, //However, while invoking the timeout method, the timer value is passed, as it is also required by InnvocationContext.getTimer() method final Object[] methodParameters; if (operation.equals(Operation.TIMEOUT) && method.getParameterTypes().length == 0) { methodParameters = new Object[0]; } else { methodParameters = parameters; } return new BeanInvocation(target, method, methodParameters); } else { return new NoOpInvocation(); } }	long method	Long method2 Feature envy: next(), interceptors, interceptorgetInstance(), interceptorgetMethod(), LifecycleInvocation, InterceptorInvocation, operationequals(), methodgetParameterTypes(), InvocationContextgetTimer(), BeanInvocation, target, method, methodParameters, parameters3 Cognitive complexity: multiple conditional statements and nested if statements make the code difficult to understand and reason about 4 Mixing of business logic and method implementation: the code is performing both business logic and method implementation, making it less cohesive 5 Magic numbers: the code contains integer values (eg	t	f	t	interceptors, interceptor.getInstance(), interceptor.getMethod(), LifecycleInvocation, InterceptorInvocation, operation.equals(), method.getParameterTypes(), InvocationContext.getTimer(), BeanInvocation, target, method, methodParameters, parameters3. Cognitive complexity: multiple conditional statements and nested if statements make the code difficult to understand and reason about 4. Mixing of business logic and method implementation: the code is performing both business logic and method implementation, making it less cohesive 5. Magic numbers: the code contains integer values (e.g.		0	9480	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-core/src/main/java/org/apache/openejb/core/interceptor/ReflectionInvocationContext.java/#L153-L177	2	1053	9480
1454	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Transactional(propagation = Propagation.MANDATORY) public Map> loadBookmarkItemsByBookmarkIds(Collection bookmarkIds) { if (bookmarkIds == null || bookmarkIds.isEmpty()) { return Collections.emptyMap(); } Long listId = daoHelper.createTempLongList(bookmarkIds); Map> itemsMap = new HashMap<>(); getJdbcTemplate().query(loadBookmarksItemsQuery, rs -> { BiologicalDataItem dataItem = BiologicalDataItemDao.BiologicalDataItemParameters.getRowMapper() .mapRow(rs, 0); long bookmarkId = rs.getLong(BookmarkItemParameters.BOOKMARK_ID.name()); if (!itemsMap.containsKey(bookmarkId)) { itemsMap.put(bookmarkId, new ArrayList<>()); } itemsMap.get(bookmarkId).add(dataItem); }, listId); daoHelper.clearTempList(listId); return itemsMap; }	long method	long method, data class	t	t	t	data class		0	11007	https://github.com/epam/NGB/blob/340504529fc576eeec92fbae636e437ce486cc4a/server/catgenome/src/main/java/com/epam/catgenome/dao/reference/BookmarkDao.java/#L184-L205	1	1454	11007
2683	*/ YES I found bad smells The bad smells are: 1. Long method 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public final Description matchClass(ClassTree classTree, VisitorState state) { if (!HAS_CONSTRUCTORS_WITH_INJECT.matches(classTree, state)) { return Description.NO_MATCH; } List ctors = ASTHelpers.getConstructors(classTree); List ctorsWithInject = ctors.stream() .filter(c -> hasInjectAnnotation().matches(c, state)) .collect(toImmutableList()); if (ctorsWithInject.size() != 1) { // Injection frameworks don't support multiple @Inject ctors. // There is already an ERROR check for it. // http://errorprone.info/bugpattern/MoreThanOneInjectableConstructor return Description.NO_MATCH; } // collect the assignments in ctor Set variablesAssigned = new HashSet<>(); new TreeScanner() { @Override public Void visitAssignment(AssignmentTree tree, Void unused) { Symbol symbol = ASTHelpers.getSymbol(tree.getVariable()); // check if it is instance field. if (symbol != null && symbol.getKind() == ElementKind.FIELD && !symbol.isStatic()) { variablesAssigned.add(symbol); } return super.visitAssignment(tree, null); } }.scan((JCTree) getOnlyElement(ctorsWithInject), null); SuggestedFix.Builder fix = SuggestedFix.builder(); VariableTree variableTreeFirstMatch = null; for (Tree member : classTree.getMembers()) { if (!(member instanceof VariableTree)) { continue; } VariableTree variableTree = (VariableTree) member; if (!INSTANCE_FIELD_WITH_INJECT.matches(variableTree, state)) { continue; } if (!variablesAssigned.contains(ASTHelpers.getSymbol(variableTree))) { continue; } variableTreeFirstMatch = variableTree; removeInjectAnnotationFromVariable(variableTree, state).ifPresent(fix::merge); } if (variableTreeFirstMatch == null) { return Description.NO_MATCH; } if (fix.isEmpty()) { return describeMatch(variableTreeFirstMatch); } return describeMatch(variableTreeFirstMatch, fix.build()); }	long method	Long method2 Feature envy	t	f	t			0	15269	https://github.com/google/error-prone/blob/61cb540c08ec63faa56dccce00049cff1f8b41ea/core/src/main/java/com/google/errorprone/bugpatterns/inject/InjectOnMemberAndConstructor.java/#L72-L128	2	2683	15269
1694	YES I found bad smells, 1. Long method, 2. Complex conditional logic with multiple nested if statements, 3. Feature envy (internalFuture is accessed multiple times within the get() method), 4. Mixing up of different responsibilities (both waiting for internalFuture and getting the result are handled within the get() method), 5. Mixing of different levels of abstraction (usage of both explicit TimeUnit.MILLISECONDS and direct system millisecond calculations)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public T get(Duration duration) throws InterruptedException, ExecutionException, TimeoutException { long start = System.currentTimeMillis(); Long end = duration==null ? null : start + duration.toMillisecondsRoundingUp(); while (end==null || end > System.currentTimeMillis()) { if (cancelled) throw new CancellationException(); if (internalFuture == null) { synchronized (this) { long remaining = end - System.currentTimeMillis(); if (internalFuture==null && remaining>0) wait(remaining); } } if (internalFuture != null) break; } Long remaining = end==null ? null : end - System.currentTimeMillis(); if (isDone()) { return internalFuture.get(1, TimeUnit.MILLISECONDS); } else if (remaining == null) { return internalFuture.get(); } else if (remaining > 0) { return internalFuture.get(remaining, TimeUnit.MILLISECONDS); } else { throw new TimeoutException(); } }	long method	Long method, 2 Complex conditional logic with multiple nested if statements, 3 Feature envy (internalFuture is accessed multiple times within the get() method), 4 Mixing up of different responsibilities (both waiting for internalFuture and getting the result are handled within the get() method), 5 Mixing of different levels of abstraction (usage of both explicit TimeUnitMILLISECONDS and direct system millisecond calculations)	t	f	t	2. Complex conditional logic with multiple nested if statements, 3. Feature envy (internalFuture is accessed multiple times within the get() method), 4. Mixing up of different responsibilities (both waiting for internalFuture and getting the result are handled within the get() method), 5. Mixing of different levels of abstraction (usage of both explicit TimeUnit.MILLISECONDS and direct system millisecond calculations)		0	11718	https://github.com/apache/incubator-brooklyn/blob/337a5d22d5e9c98cc96ea1085383cbed1ee0b741/brooklyn-server/core/src/main/java/org/apache/brooklyn/util/core/task/BasicTask.java/#L437-L462	2	1694	11718
1168	YES I found bad smells the bad smells are: Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static Dataset[] generateCoordinates(Dataset angles, final double[] geometricParameters) { if (geometricParameters.length != PARAMETERS) throw new IllegalArgumentException("Need " + PARAMETERS + " parameters"); Dataset[] coords = new Dataset[2]; DoubleDataset x = DatasetFactory.zeros(DoubleDataset.class, angles.getShape()); DoubleDataset y = DatasetFactory.zeros(DoubleDataset.class, angles.getShape()); coords[0] = x; coords[1] = y; final double ca = Math.cos(geometricParameters[2]); final double sa = Math.sin(geometricParameters[2]); final IndexIterator it = angles.getIterator(); int i = 0; while (it.hasNext()) { final double t = angles.getElementDoubleAbs(it.index); final double ct = Math.cos(t); final double st = Math.sin(t); x.setAbs(i, geometricParameters[3] + geometricParameters[0]*ca*ct - geometricParameters[1]*sa*st); y.setAbs(i, geometricParameters[4] + geometricParameters[0]*sa*ct + geometricParameters[1]*ca*st); i++; } return coords; }	long method	Long method	t	f	t			0	10191	https://github.com/eclipse/dawnsci/blob/1131d5c65e9e8ea98141eecee1743cf1053544f4/org.eclipse.dawnsci.analysis.dataset/src/org/eclipse/dawnsci/analysis/dataset/roi/fitting/EllipseFitter.java/#L486-L512	2	1168	10191
960	{"output": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Explanation explain(LeafReaderContext context, int doc) throws IOException { Scorer scorer = scorer(context); if (scorer != null) { int newDoc = scorer.iterator().advance(doc); if (newDoc == doc) { final float freq; if (scorer instanceof BM25FScorer) { freq = ((BM25FScorer) scorer).freq(); } else { assert scorer instanceof TermScorer; freq = ((TermScorer) scorer).freq(); } final MultiNormsLeafSimScorer docScorer = new MultiNormsLeafSimScorer(simWeight, context.reader(), fieldAndWeights.values(), true); Explanation freqExplanation = Explanation.match(freq, "termFreq=" + freq); Explanation scoreExplanation = docScorer.explain(doc, freqExplanation); return Explanation.match( scoreExplanation.getValue(), "weight(" + getQuery() + " in " + doc + ") [" + similarity.getClass().getSimpleName() + "], result of:", scoreExplanation); } } return Explanation.noMatch("no matching term"); }	long method	1. long method	t	t	t			0	8567	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/sandbox/src/java/org/apache/lucene/search/BM25FQuery.java/#L308-L333	1	960	8567
2381	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	long method	t	t	t			0	14338	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	1	2381	14338
3987	YES I found bad smells the bad smells are: 1. Long method 2. Unnecessary use of try-catch-finally block for exception handling 3. Use of generic exceptions instead of specific ones 4. Lack of modularization or abstraction in the code 5. Use of primitive data types instead of classes for handling requests and responses 6. Inconsistent use of method parameters (e.g. handler vs. requests) 7. Mixing of different responsibilities within the method (e.g. transaction handling, error handling, request processing)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public BatchResponsePart executeChangeSet(final BatchHandler handler, final List requests) throws ODataException { List responses = new ArrayList(); try { oDataJPAContext.getODataJPATransaction().begin(); for (ODataRequest request : requests) { oDataJPAContext.setODataContext(getContext()); ODataResponse response = handler.handleRequest(request); if (response.getStatus().getStatusCode() >= HttpStatusCodes.BAD_REQUEST.getStatusCode()) { // Rollback oDataJPAContext.getODataJPATransaction().rollback(); List errorResponses = new ArrayList(1); errorResponses.add(response); return BatchResponsePart.responses(errorResponses).changeSet(false).build(); } responses.add(response); } oDataJPAContext.getODataJPATransaction().commit(); return BatchResponsePart.responses(responses).changeSet(true).build(); } catch (Exception e) { throw new ODataException("Error on processing request content:" + e.getMessage(), e); } finally { close(true); } }	long method	Long method2 Unnecessary use of try-catch-finally block for exception handling3 Use of generic exceptions instead of specific ones4 Lack of modularization or abstraction in the code5 Use of primitive data types instead of classes for handling requests and responses6 Inconsistent use of method parameters (eg handler vs requests)7 Mixing of different responsibilities within the method (eg transaction handling, error handling, request processing)	t	f	t	error handling, request processing)		0	10502	https://github.com/apache/olingo-odata2/blob/c5e9fdf569b5e2e50f5670c91013db8f9ae1d950/odata2-jpa-processor/jpa-api/src/main/java/org/apache/olingo/odata2/jpa/processor/api/ODataJPADefaultProcessor.java/#L270-L297	2	3987	10502
745	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static RuleSet parse(final Reader configReader, EventLoggerProvider eventLogger) { RuleSetCreator ruleSetCreator = new RuleSetCreator(); int line = 0; try(Reader fileReader = configReader) { LOGGER.debug("About to load ACL file"); StreamTokenizer tokenizer = new StreamTokenizer(new BufferedReader(fileReader)); tokenizer.resetSyntax(); // setup the tokenizer tokenizer.commentChar(COMMENT); // single line comments tokenizer.eolIsSignificant(true); // return EOL as a token tokenizer.ordinaryChar('='); // equals is a token tokenizer.ordinaryChar(CONTINUATION); // continuation character (when followed by EOL) tokenizer.quoteChar('"'); // double quote tokenizer.quoteChar('\''); // single quote tokenizer.whitespaceChars('\u0000', '\u0020'); // whitespace (to be ignored) TODO properly tokenizer.wordChars('a', 'z'); // unquoted token characters [a-z] tokenizer.wordChars('A', 'Z'); // [A-Z] tokenizer.wordChars('0', '9'); // [0-9] tokenizer.wordChars('_', '_'); // underscore tokenizer.wordChars('-', '-'); // dash tokenizer.wordChars('.', '.'); // dot tokenizer.wordChars('*', '*'); // star tokenizer.wordChars('@', '@'); // at tokenizer.wordChars(':', ':'); // colon // parse the acl file lines Stack stack = new Stack<>(); int current; do { current = tokenizer.nextToken(); line = tokenizer.lineno()-1; switch (current) { case StreamTokenizer.TT_EOF: case StreamTokenizer.TT_EOL: if (stack.isEmpty()) { break; // blank line } // pull out the first token from the bottom of the stack and check arguments exist String first = stack.firstElement(); stack.removeElementAt(0); if (stack.isEmpty()) { throw new IllegalConfigurationException(String.format(NOT_ENOUGH_TOKENS_MSG, line)); } // check for and parse optional initial number for ACL lines Integer number = null; if (first != null && first.matches("\\d+")) { // set the acl number and get the next element number = Integer.valueOf(first); first = stack.firstElement(); stack.removeElementAt(0); } if (ACL.equalsIgnoreCase(first)) { parseAcl(number, stack, ruleSetCreator, line); } else if (number == null) { if("GROUP".equalsIgnoreCase(first)) { throw new IllegalConfigurationException(String.format("GROUP keyword not supported at " + "line %d. Groups should defined " + "via a Group Provider, not in " + "the ACL file.", line)); } else if (CONFIG.equalsIgnoreCase(first)) { parseConfig(stack, ruleSetCreator, line); } else { throw new IllegalConfigurationException(String.format(UNRECOGNISED_INITIAL_MSG, first, line)); } } else { throw new IllegalConfigurationException(String.format(NUMBER_NOT_ALLOWED_MSG, first, line)); } // reset stack, start next line stack.clear(); break; case StreamTokenizer.TT_NUMBER: stack.push(Integer.toString(Double.valueOf(tokenizer.nval).intValue())); break; case StreamTokenizer.TT_WORD: stack.push(tokenizer.sval); // token break; default: if (tokenizer.ttype == CONTINUATION) { int next = tokenizer.nextToken(); line = tokenizer.lineno()-1; if (next == StreamTokenizer.TT_EOL) { break; // continue reading next line } // invalid location for continuation character (add one to line because we ate the EOL) throw new IllegalConfigurationException(String.format(PREMATURE_CONTINUATION_MSG, line + 1)); } else if (tokenizer.ttype == '\'' || tokenizer.ttype == '"') { stack.push(tokenizer.sval); // quoted token } else { stack.push(Character.toString((char) tokenizer.ttype)); // single character } } } while (current != StreamTokenizer.TT_EOF); if (!stack.isEmpty()) { throw new IllegalConfigurationException(String.format(PREMATURE_EOF_MSG, line)); } } catch (IllegalArgumentException iae) { throw new IllegalConfigurationException(String.format(PARSE_TOKEN_FAILED_MSG, line), iae); } catch (IOException ioe) { throw new IllegalConfigurationException(CANNOT_LOAD_MSG, ioe); } return ruleSetCreator.createRuleSet(eventLogger); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	7007	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-plugins/access-control/src/main/java/org/apache/qpid/server/security/access/config/AclFileParser.java/#L113-L249	2	745	7007
1747	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void testGroupByOrderPreservingDescSort() throws Exception { Properties props = PropertiesUtil.deepCopy(TEST_PROPERTIES); Connection conn = DriverManager.getConnection(getUrl(), props); String tableName = generateUniqueName(); conn.createStatement().execute("CREATE TABLE " + tableName + " (k1 char(1) not null, k2 char(1) not null," + " constraint pk primary key (k1,k2)) split on ('ac','jc','nc')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'd')"); conn.commit(); QueryBuilder queryBuilder = new QueryBuilder() .setSelectExpression("K1,COUNT(*)") .setSelectColumns(Lists.newArrayList("K1")) .setFullTableName(tableName) .setGroupByClause("K1") .setOrderByClause("K1 DESC"); ResultSet rs = executeQuery(conn, queryBuilder); assertTrue(rs.next()); assertEquals("n", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("j", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("a", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertFalse(rs.next()); String expectedPhoenixPlan = "CLIENT PARALLEL 1-WAY REVERSE FULL SCAN OVER " + tableName + "\n" + " SERVER FILTER BY FIRST KEY ONLY\n" + " SERVER AGGREGATE INTO ORDERED DISTINCT ROWS BY [K1]"; validateQueryPlan(conn, queryBuilder, expectedPhoenixPlan, null); }	long method	Long Method	t	f	t			0	11855	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/it/java/org/apache/phoenix/end2end/BaseAggregateIT.java/#L386-L427	1	1747	11855
507	YES I found bad smells The bad smells are: 1.Long method 2.Magic strings 3.Coupled design 4.Incomplete error handling 5.Condition redundancy 6.Poorly named variable and method names 7.Inadequate commenting/documentation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void registerProjectsToFileBasedWorkspace(Iterable projectURIs, FileBasedWorkspace workspace) throws N4JSCompileException { // TODO GH-783 refactor FileBasedWorkspace, https://github.com/eclipse/n4js/issues/783 // this is reverse mapping of the one that is kept in the workspace Map registeredProjects = new HashMap<>(); workspace.getAllProjectLocationsIterator().forEachRemaining(uri -> { String projectName = workspace.getProjectDescription(uri).getProjectName(); registeredProjects.put(projectName, URIUtils.normalize(uri)); }); // register all projects with the file based workspace. for (URI uri : projectURIs) { URI projectURI = URIUtils.normalize(uri); final ProjectDescription projectDescription = projectDescriptionLoader .loadProjectDescriptionAtLocation(projectURI); if (projectDescription == null) { throw new N4JSCompileException( "Cannot load project description for project at " + projectURI.toFileString() + ". Make sure the project contains a valid package.json file."); } final String projectName = projectDescription.getProjectName(); if (skipRegistering(projectName, projectURI, registeredProjects)) { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Skipping already registered project '" + projectURI + "'"); } /* * We could call FileBasedWorkspace.registerProject which would fail silently. Still to avoid potential * side effects and to keep {@code registeredProjects} management simpler,we will skip it explicitly. */ continue; } try { if (logger != null && logger.isCreateDebugOutput()) { logger.debug("Registering project '" + projectURI + "'"); } workspace.registerProject(projectURI); registeredProjects.put(projectName, projectURI); } catch (N4JSBrokenProjectException e) { throw new N4JSCompileException("Unable to register project '" + projectURI + "'", e); } } }	long method	Long method2Magic strings3Coupled design4Incomplete error handling5Condition redundancy6Poorly named variable and method names7Inadequate commenting/documentation	t	f	t			0	5156	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.generator.headless/src/org/eclipse/n4js/generator/headless/HeadlessHelper.java/#L82-L129	2	507	5156
2274	{"response": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ApplicationDTO buildApplicationDTO( ApplicationRuntimeInformation ari) { ApplicationDTO applicationDTO = new ApplicationDTO(){}; applicationDTO.name = getServiceName( ari._cachingServiceReference::getProperty); applicationDTO.base = _whiteboard.getApplicationBase( ari._cachingServiceReference::getProperty); applicationDTO.serviceId = (Long)ari._cachingServiceReference.getProperty("service.id"); applicationDTO.resourceDTOs = getApplicationEndpointsStream( applicationDTO.name).toArray( ResourceDTO[]::new ); applicationDTO.extensionDTOs = getApplicationExtensionsStream( applicationDTO.name).toArray( ExtensionDTO[]::new ); Map> nameBoundExtensions = new HashMap<>(); Map> extensionResources = new HashMap<>(); for (ExtensionDTO extensionDTO : applicationDTO.extensionDTOs) { if (extensionDTO.nameBindings == null) { continue; } for (String nameBinding : extensionDTO.nameBindings) { Set extensionDTOS = nameBoundExtensions.computeIfAbsent( nameBinding, __ -> new HashSet<>() ); extensionDTOS.add(extensionDTO); } } for (ResourceDTO resourceDTO : applicationDTO.resourceDTOs) { for (ResourceMethodInfoDTO resourceMethodInfo : resourceDTO.resourceMethods) { if (resourceMethodInfo.nameBindings == null) { continue; } for (String nameBinding : resourceMethodInfo.nameBindings) { Set extensionDTOS = nameBoundExtensions.get( nameBinding); if (extensionDTOS != null) { for (ExtensionDTO extensionDTO : extensionDTOS) { Set resourceDTOS = extensionResources.computeIfAbsent( extensionDTO, __ -> new HashSet<>()); resourceDTOS.add(resourceDTO); } } } } } extensionResources.forEach( (extensionDTO, resourceDTOS) -> extensionDTO.filteredByName = resourceDTOS.toArray( new ResourceDTO[0]) ); CxfJaxrsServiceRegistrator cxfJaxRsServiceRegistrator = ari._cxfJaxRsServiceRegistrator; Bus bus = cxfJaxRsServiceRegistrator.getBus(); Iterable> resourceClasses = cxfJaxRsServiceRegistrator.getStaticResourceClasses(); ArrayList resourceMethodInfoDTOS = new ArrayList<>(); for (Class resourceClass : resourceClasses) { resourceMethodInfoDTOS.addAll( ClassIntrospector.getResourceMethodInfos(resourceClass, bus)); } applicationDTO.resourceMethods = resourceMethodInfoDTOS.toArray( new ResourceMethodInfoDTO[0]); return applicationDTO; }	long method	long method, data class	t	t	t	data class		0	13771	https://github.com/apache/aries-jax-rs-whiteboard/blob/73ef94bb74159e97bbe834c3e17a7eb3c34b7bf6/jax-rs.whiteboard/src/main/java/org/apache/aries/jax/rs/whiteboard/internal/AriesJaxrsServiceRuntime.java/#L943-L1037	1	2274	13771
86	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Implementation(minSdk = LOLLIPOP) @HiddenApi protected static void nativeGetPointerCoords( long nativePtr, int pointerIndex, int historyPos, PointerCoords outPointerCoordsObj) { NativeInput.MotionEvent event = getNativeMotionEvent(nativePtr); int pointerCount = event.getPointerCount(); validatePointerIndex(pointerIndex, pointerCount); validatePointerCoords(outPointerCoordsObj); NativeInput.PointerCoords rawPointerCoords; if (historyPos == HISTORY_CURRENT) { rawPointerCoords = event.getRawPointerCoords(pointerIndex); } else { int historySize = event.getHistorySize(); validateHistoryPos(historyPos, historySize); rawPointerCoords = event.getHistoricalRawPointerCoords(pointerIndex, historyPos); } pointerCoordsFromNative( rawPointerCoords, event.getXOffset(), event.getYOffset(), outPointerCoordsObj); }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	1216	https://github.com/robolectric/robolectric/blob/525bfcfc0e0ed1653ad57341b564c6857e11dc50/shadows/framework/src/main/java/org/robolectric/shadows/ShadowMotionEvent.java/#L386-L405	1	86	1216
1076	{ "output": "YES I found bad smells", "bad smells are": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void configure(Context context) { this.headerName = context.getString(CONFIG_MULTIPLEX_HEADER_NAME, DEFAULT_MULTIPLEX_HEADER); Map channelNameMap = getChannelNameMap(); defaultChannels = getChannelListFromNames( context.getString(CONFIG_DEFAULT_CHANNEL), channelNameMap); Map mapConfig = context.getSubProperties(CONFIG_PREFIX_MAPPING); channelMapping = new HashMap>(); for (String headerValue : mapConfig.keySet()) { List configuredChannels = getChannelListFromNames( mapConfig.get(headerValue), channelNameMap); //This should not go to default channel(s) //because this seems to be a bad way to configure. if (configuredChannels.size() == 0) { throw new FlumeException("No channel configured for when " + "header value is: " + headerValue); } if (channelMapping.put(headerValue, configuredChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } //If no mapping is configured, it is ok. //All events will go to the default channel(s). Map optionalChannelsMapping = context.getSubProperties(CONFIG_PREFIX_OPTIONAL + "."); optionalChannels = new HashMap>(); for (String hdr : optionalChannelsMapping.keySet()) { List confChannels = getChannelListFromNames( optionalChannelsMapping.get(hdr), channelNameMap); if (confChannels.isEmpty()) { confChannels = EMPTY_LIST; } //Remove channels from optional channels, which are already //configured to be required channels. List reqdChannels = channelMapping.get(hdr); //Check if there are required channels, else defaults to default channels if (reqdChannels == null || reqdChannels.isEmpty()) { reqdChannels = defaultChannels; } for (Channel c : reqdChannels) { if (confChannels.contains(c)) { confChannels.remove(c); } } if (optionalChannels.put(hdr, confChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } }	long method	blob, long method	t	t	t	blob		0	9643	https://github.com/apache/flume/blob/7d3396f26dc1541e9d2a540d50d15a15c38acb74/flume-ng-core/src/main/java/org/apache/flume/channel/MultiplexingChannelSelector.java/#L83-L145	1	1076	9643
1246	YES I found bad smells. the bad smells are: 1.Long method 3.Magic numbers	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void main(List trees) { // complete the javac AST with a completed ceylon model timer.startTask("prepareForTypeChecking"); prepareForTypeChecking(trees); timer.endTask(); List javaTrees = List.nil(); List ceylonTrees = List.nil(); // split them in two sets: java and ceylon for(JCCompilationUnit tree : trees){ if(tree instanceof CeylonCompilationUnit) ceylonTrees = ceylonTrees.prepend(tree); else javaTrees = javaTrees.prepend(tree); } timer.startTask("Enter on Java trees"); boolean needsModelReset = isBootstrap; // enter java trees first to set up their ClassSymbol objects for ceylon trees to use during type-checking if(!javaTrees.isEmpty()){ setupImportedPackagesForJavaTrees(javaTrees); hasJavaAndCeylonSources = true; needsModelReset = true; } // this is false if we're in an APT round where we did not generate the trees if(!compiler.isAddModuleTrees()){ setupImportedPackagesForJavaTrees(ceylonTrees); } if(isBootstrap || hasJavaAndCeylonSources){ super.main(trees); } // now we can type-check the Ceylon code List packageInfo = completeCeylonTrees(trees); trees = trees.prependList(packageInfo); ceylonTrees = ceylonTrees.prependList(packageInfo); if(compiler.isHadRunTwiceException()){ needsModelReset = true; } if(needsModelReset){ // bootstrapping the language module is a bit more complex resetAndRunEnterAgain(trees); }else{ timer.startTask("Enter on Ceylon trees"); // and complete their new trees try { sourceLanguage.push(Language.CEYLON); super.main(ceylonTrees); } finally { sourceLanguage.pop(); } timer.endTask(); } }	long method	Long method3Magic numbers	t	f	t			0	10421	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/compiler-java/src/org/eclipse/ceylon/compiler/java/loader/CeylonEnter.java/#L203-L255	2	1246	10421
1000	YES, I found bad smells the bad smells are: 1) Long method 2) Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public NestedLoopJoin(IHyracksTaskContext ctx, FrameTupleAccessor accessorOuter, FrameTupleAccessor accessorInner, ITuplePairComparator comparatorsOuter2Inner, int memSize, IPredicateEvaluator predEval, boolean isLeftOuter, IMissingWriter[] missingWriters) throws HyracksDataException { this.accessorInner = accessorInner; this.accessorOuter = accessorOuter; this.appender = new FrameTupleAppender(); this.tpComparator = comparatorsOuter2Inner; this.outBuffer = new VSizeFrame(ctx); this.innerBuffer = new VSizeFrame(ctx); this.appender.reset(outBuffer, true); if (memSize < 3) { throw new HyracksDataException("Not enough memory is available for Nested Loop Join"); } this.outerBufferMngr = new VariableFrameMemoryManager(new VariableFramePool(ctx, ctx.getInitialFrameSize() * (memSize - 2)), FrameFreeSlotPolicyFactory.createFreeSlotPolicy(EnumFreeSlotPolicy.LAST_FIT, memSize - 2)); this.predEvaluator = predEval; this.isReversed = false; this.isLeftOuter = isLeftOuter; if (isLeftOuter) { int innerFieldCount = this.accessorInner.getFieldCount(); missingTupleBuilder = new ArrayTupleBuilder(innerFieldCount); DataOutput out = missingTupleBuilder.getDataOutput(); for (int i = 0; i < innerFieldCount; i++) { missingWriters[i].writeMissing(out); missingTupleBuilder.addFieldEndOffset(); } } else { missingTupleBuilder = null; } FileReference file = ctx.getJobletContext().createManagedWorkspaceFile(this.getClass().getSimpleName() + this.toString()); runFileWriter = new RunFileWriter(file, ctx.getIoManager()); runFileWriter.open(); }	long method	) Long method2) Feature envy	t	f	t			0	9174	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-dataflow-std/src/main/java/org/apache/hyracks/dataflow/std/join/NestedLoopJoin.java/#L60-L97	2	1000	9174
5507	The bad smells are: 1.Long Method, 2.Feature Envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	Long Method, 2Feature Envy	f	f	t	2.Feature Envy		0	3711	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	1	5507	3711
2404	{"response": "YES I found bad smells the bad smells are: Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: else { fstack.add(cfkey); builder.append(offset + "--" + cfkey + "\n"); builder.append(explainFunctionCallGraph(fgraph, fstack, cfkey, level+1)); fstack.remove(cfkey); } } } return builder.toString(); } }	long method	long method	t	t	t			0	14385	https://github.com/apache/systemml/blob/7fba4b29d653747a9ed038d282954a44fea3031c/src/main/java/org/apache/sysml/utils/Explain.java/#L1103-L1141	1	2404	14385
1053	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Invocation next() { if (interceptors.hasNext()) { final Interceptor interceptor = interceptors.next(); final Object nextInstance = interceptor.getInstance(); final Method nextMethod = interceptor.getMethod(); if (nextMethod.getParameterTypes().length == 1 && nextMethod.getParameterTypes()[0] == InvocationContext.class) { return new InterceptorInvocation(nextInstance, nextMethod, this); } else { return new LifecycleInvocation(nextInstance, nextMethod, this, parameters); } } else if (method != null) { //EJB 3.1, it is allowed that timeout method does not have parameter Timer.class, //However, while invoking the timeout method, the timer value is passed, as it is also required by InnvocationContext.getTimer() method final Object[] methodParameters; if (operation.equals(Operation.TIMEOUT) && method.getParameterTypes().length == 0) { methodParameters = new Object[0]; } else { methodParameters = parameters; } return new BeanInvocation(target, method, methodParameters); } else { return new NoOpInvocation(); } }	long method	long method	t	t	t			0	9480	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-core/src/main/java/org/apache/openejb/core/interceptor/ReflectionInvocationContext.java/#L153-L177	1	1053	9480
2558	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	long method, feature envy	t	t	t	feature envy		0	14834	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	1	2558	14834
996	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Check public void checkNoForwardReferences(XExpression fieldInitializer) { JvmIdentifiableElement container = logicalContainerProvider.getLogicalContainer(fieldInitializer); if (container instanceof JvmField) { JvmField field = (JvmField) container; boolean staticField = field.isStatic(); JvmDeclaredType declaredType = field.getDeclaringType(); if (declaredType == null) { return; } Collection illegalFields = Sets.newHashSet(); for(int i = declaredType.getMembers().size() - 1; i>=0; i--) { JvmMember member = declaredType.getMembers().get(i); if (member instanceof JvmField) { if (((JvmField) member).isStatic() == staticField) { illegalFields.add((JvmField) member); } } if (member == field) break; } TreeIterator iterator = EcoreUtil2.eAll(fieldInitializer); while(iterator.hasNext()) { EObject object = iterator.next(); if (object instanceof XFeatureCall) { JvmIdentifiableElement feature = ((XFeatureCall) object).getFeature(); if (illegalFields.contains(((XFeatureCall) object).getFeature())) { error("Cannot reference the field '" + feature.getSimpleName() + "' before it is defined", object, null, INSIGNIFICANT_INDEX, ILLEGAL_FORWARD_REFERENCE); } } else if (isLocalClassSemantics(object)) { iterator.prune(); } } } }	long method	long method, data class	t	t	t	data class		0	9119	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src/org/eclipse/xtext/xbase/validation/XbaseValidator.java/#L1028-L1063	1	996	9119
2901	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy - The method is accessing variables from a different class, indicating that it may not be the best class to handle this functionality. 3. Repetitive code - The same code for checking the field type and setting the field in the struct is repeated for each case. 4. Long switch statement - The switch statement has many cases and could potentially be refactored into smaller, more specialized methods. 5. Large class - The class may have too many responsibilities and could be split into smaller, more focused classes.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, WMTrigger struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RESOURCE_PLAN_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.resourcePlanName = iprot.readString(); struct.setResourcePlanNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // TRIGGER_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerName = iprot.readString(); struct.setTriggerNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // TRIGGER_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerExpression = iprot.readString(); struct.setTriggerExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // ACTION_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.actionExpression = iprot.readString(); struct.setActionExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 5: // IS_IN_UNMANAGED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.isInUnmanaged = iprot.readBool(); struct.setIsInUnmanagedIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 6: // NS if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.ns = iprot.readString(); struct.setNsIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); struct.validate(); }	long method	Long method2 Feature envy - The method is accessing variables from a different class, indicating that it may not be the best class to handle this functionality3 Repetitive code - The same code for checking the field type and setting the field in the struct is repeated for each case4 Long switch statement - The switch statement has many cases and could potentially be refactored into smaller, more specialized methods5 Large class - The class may have too many responsibilities and could be split into smaller, more focused classes	t	f	t	indicating that it may not be the best class to handle this functionality.3. Repetitive code - The same code for checking the field type and setting the field in the struct is repeated for each case.4. Long switch statement - The switch statement has many cases and could potentially be refactored into smaller, more specialized methods.5. Large class - The class may have too many responsibilities and could be split into smaller, more focused classes.		0	2195	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/WMTrigger.java/#L733-L798	2	2901	2195
1688	{ "YES I found bad smells": "YES I found bad smells", "the bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void run( IAction action ) { if ( !preGenerate( ) ) { return; } IFile file = getSelectedFile( ); if ( file != null ) { String url = file.getLocation( ).toOSString( ); Map options = new HashMap( ); options.put( WebViewer.RESOURCE_FOLDER_KEY, ReportPlugin.getDefault( ) .getResourceFolder( file.getProject( ) ) ); options.put( WebViewer.SERVLET_NAME_KEY, WebViewer.VIEWER_DOCUMENT ); Object adapter = ElementAdapterManager.getAdapter( action, IPreviewAction.class ); if ( adapter instanceof IPreviewAction ) { IPreviewAction delegate = (IPreviewAction) adapter; delegate.setProperty( IPreviewConstants.REPORT_PREVIEW_OPTIONS, options ); delegate.setProperty( IPreviewConstants.REPORT_FILE_PATH, url ); delegate.run( ); return; } try { WebViewer.display( url, options ); } catch ( Exception e ) { ExceptionUtil.handle( e ); return; } } else { action.setEnabled( false ); } }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11692	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.preview.web/src/org/eclipse/birt/report/designer/ui/ide/navigator/GenerateDocumentAction.java/#L39-L87	1	1688	11692
940	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void doDefensiveChecks(DistribPhase phase) { boolean isReplayOrPeersync = (updateCommand.getFlags() & (UpdateCommand.REPLAY | UpdateCommand.PEER_SYNC)) != 0; if (isReplayOrPeersync) return; String from = req.getParams().get(DISTRIB_FROM); ClusterState clusterState = zkController.getClusterState(); DocCollection docCollection = clusterState.getCollection(collection); Slice mySlice = docCollection.getSlice(cloudDesc.getShardId()); boolean localIsLeader = cloudDesc.isLeader(); if (DistribPhase.FROMLEADER == phase && localIsLeader && from != null) { // from will be null on log replay String fromShard = req.getParams().get(DISTRIB_FROM_PARENT); if (fromShard != null) { if (mySlice.getState() == Slice.State.ACTIVE) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but we are in active state"); } // shard splitting case -- check ranges to see if we are a sub-shard Slice fromSlice = docCollection.getSlice(fromShard); DocRouter.Range parentRange = fromSlice.getRange(); if (parentRange == null) parentRange = new DocRouter.Range(Integer.MIN_VALUE, Integer.MAX_VALUE); if (mySlice.getRange() != null && !mySlice.getRange().isSubsetOf(parentRange)) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but parent hash range is not superset of my range"); } } else { String fromCollection = req.getParams().get(DISTRIB_FROM_COLLECTION); // is it because of a routing rule? if (fromCollection == null) { log.error("Request says it is coming from leader, but we are the leader: " + req.getParamString()); SolrException solrExc = new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from leader, but we are the leader"); solrExc.setMetadata("cause", "LeaderChanged"); throw solrExc; } } } int count = 0; while (((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) && count < 5) { count++; // re-getting localIsLeader since we published to ZK first before setting localIsLeader value localIsLeader = cloudDesc.isLeader(); try { Thread.sleep(500); } catch (InterruptedException e) { Thread.currentThread().interrupt(); } } if ((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) { log.error("ClusterState says we are the leader, but locally we don't think so"); throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "ClusterState says we are the leader (" + zkController.getBaseUrl() + "/" + req.getCore().getName() + "), but locally we don't think so. Request came from " + from); } }	long method	long method	t	t	t			0	8460	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/update/processor/DistributedZkUpdateProcessor.java/#L953-L1007	1	940	8460
3396	{ "output": "YES I found bad smells the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean executeSyncCmsId(NuageVspDeviceVO nuageVspDevice, SyncType syncType) { NuageVspDeviceVO matchingNuageVspDevice = findMatchingNuageVspDevice(nuageVspDevice); if (syncType == SyncType.REGISTER && matchingNuageVspDevice != null) { String cmsId = findNuageVspCmsIdForDeviceOrHost(matchingNuageVspDevice.getId(), matchingNuageVspDevice.getHostId()); registerNewNuageVspDevice(nuageVspDevice.getHostId(), cmsId); return true; } String cmsId = findNuageVspCmsIdForDeviceOrHost(nuageVspDevice.getId(), nuageVspDevice.getHostId()); SyncNuageVspCmsIdCommand syncCmd = new SyncNuageVspCmsIdCommand(syncType, cmsId); SyncNuageVspCmsIdAnswer answer = (SyncNuageVspCmsIdAnswer) _agentMgr.easySend(nuageVspDevice.getHostId(), syncCmd); if (answer != null) { if (answer.getSuccess()) { if (syncType == SyncType.REGISTER || answer.getSyncType() == SyncType.REGISTER) { registerNewNuageVspDevice(nuageVspDevice.getHostId(), answer.getNuageVspCmsId()); } else if (syncType == SyncType.UNREGISTER) { removeLegacyNuageVspDeviceCmsId(nuageVspDevice.getId()); } } else if (syncType == SyncType.AUDIT || syncType == SyncType.AUDIT_ONLY) { s_logger.fatal("Nuage VSP Device with ID " + nuageVspDevice.getId() + " is configured with an unknown CMS ID!"); } } return answer != null && answer.getSuccess(); }	long method	1. long method	t	t	t			0	6591	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/nuage-vsp/src/main/java/com/cloud/network/manager/NuageVspManagerImpl.java/#L686-L711	1	3396	6591
2197	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void decide(Authentication authentication, Object object, Collection configAttributes) throws AccessDeniedException { int deny = 0; for (AccessDecisionVoter voter : getDecisionVoters()) { int result = voter.vote(authentication, object, configAttributes); if (logger.isDebugEnabled()) { logger.debug("Voter: " + voter + ", returned: " + result); } switch (result) { case AccessDecisionVoter.ACCESS_GRANTED: return; case AccessDecisionVoter.ACCESS_DENIED: deny++; break; default: break; } } if (deny > 0) { throw new AccessDeniedException(messages.getMessage( "AbstractAccessDecisionManager.accessDenied", "Access is denied")); } // To get this far, every AccessDecisionVoter abstained checkAllowIfAllAbstainDecisions(); }	long method	long method	t	t	t			0	13483	https://github.com/spring-projects/spring-security/blob/8dd2864dea3de5ea98637a1629debc89c29e76c0/core/src/main/java/org/springframework/security/access/vote/AffirmativeBased.java/#L58-L90	1	2197	13483
1926	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public short syncAll(short syncMode) { short syncState = SYNC_STATE_IN_SYNC; /* vnc classes need to be synchronized with cloudstack */ s_logger.debug("syncing cloudstack db with vnc"); try { for (Class cls : _vncClasses) { /* lock the sync mode*/ _lockSyncMode.lock(); _rwMode = syncMode == DBSyncGeneric.SYNC_MODE_UPDATE; _dbSync.setSyncMode(syncMode); if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check start: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync start: " + DBSyncGeneric.getClassName(cls)); } if (_dbSync.sync(cls) == false) { if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.info("out of sync detected: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.info("out of sync detected and re-synced: " + DBSyncGeneric.getClassName(cls)); } syncState = SYNC_STATE_OUT_OF_SYNC; } if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check finish: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync finish: " + DBSyncGeneric.getClassName(cls)); } /* unlock the sync mode */ _lockSyncMode.unlock(); } } catch (Exception ex) { s_logger.warn("DB Synchronization", ex); syncState = SYNC_STATE_UNKNOWN; if (_lockSyncMode.isLocked()) { _lockSyncMode.unlock(); } } return syncState; }	long method	Long method2 Feature envy	t	f	t			0	12438	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/juniper-contrail/src/main/java/org/apache/cloudstack/network/contrail/management/ServerDBSyncImpl.java/#L129-L174	2	1926	12438
1441	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: BundleArchiveRevision(String location, File revisionDir, File file) throws IOException{ this.revisionDir = revisionDir; this.location = location; if (!this.revisionDir.exists()) { this.revisionDir.mkdirs(); } if(revisionDir.getAbsolutePath().startsWith(RuntimeVariables.androidApplication.getFilesDir().getAbsolutePath())){ externalStorage = false; }else{ externalStorage = true; } if(shouldCopyInstallFile(file)){ if (isSameDriver(revisionDir, file)) { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); boolean result = file.renameTo(bundleFile); if(!result){ ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } } else { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } installSoLib(bundleFile); }else{ this.revisionLocation = REFERENCE_PROTOCOL + file.getAbsolutePath(); this.bundleFile = file; installSoLib(file); } updateMetadata(); }	long method	1. long method	t	t	t			0	10974	https://github.com/alibaba/atlas/blob/e8c7b3f1ff14b2a1df64321c6992b796cae7d732/atlas-core/src/main/java/android/taobao/atlas/framework/bundlestorage/BundleArchiveRevision.java/#L301-L332	1	1441	10974
318	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: // count the number of '/'s, to determine number of segments int index = -1; int pathlen = path.length(); int size = 0; if (pathlen > 0 && path.charAt(0) != '/') { size++; } while ((index = path.indexOf('/', index + 1)) != -1) { if (index + 1 < pathlen && path.charAt(index + 1) != '/') { size++; } } String[] seglist = new String[size]; boolean[] include = new boolean[size]; // break the path into segments and store in the list int current = 0; int index2 = 0; index = (pathlen > 0 && path.charAt(0) == '/') ? 1 : 0; while ((index2 = path.indexOf('/', index + 1)) != -1) { seglist[current++] = path.substring(index, index2); index = index2 + 1; } // if current==size, then the last character was a slash // and there are no more segments if (current < size) { seglist[current] = path.substring(index); } // determine which segments get included in the normalized path for (int i = 0; i < size; i++) { include[i] = true; if (seglist[i].equals("..")) { //$NON-NLS-1$ int remove = i - 1; // search back to find a segment to remove, if possible while (remove > -1 && !include[remove]) { remove--; } // if we find a segment to remove, remove it and the ".." // segment if (remove > -1 && !seglist[remove].equals("..")) { //$NON-NLS-1$ include[remove] = false; include[i] = false; } } else if (seglist[i].equals(".")) { //$NON-NLS-1$ include[i] = false; } } // put the path back together StringBuilder newpath = new StringBuilder(); if (path.startsWith("/")) { //$NON-NLS-1$ newpath.append('/'); } for (int i = 0; i < seglist.length; i++) { if (include[i]) { newpath.append(seglist[i]); newpath.append('/'); } } // if we used at least one segment and the path previously ended with // a slash and the last segment is still used, then delete the extra // trailing '/' if (!path.endsWith("/") && seglist.length > 0 //$NON-NLS-1$ && include[seglist.length - 1]) { newpath.deleteCharAt(newpath.length() - 1); } String result = newpath.toString(); // check for a ':' in the first segment if one exists, // prepend "./" to normalize index = result.indexOf(':'); index2 = result.indexOf('/'); if (index != -1 && (index < index2 || index2 == -1)) { newpath.insert(0, "./"); //$NON-NLS-1$ result = newpath.toString(); } return result; }	long method	Long method2 Feature envy	t	f	t			0	3262	https://github.com/apache/shindig/blob/8f3c3d5c77f5324bad56a5a62da28657fe9112a0/java/common/src/main/java/org/apache/shindig/common/uri/Uri.java/#L205-L289	2	318	3262
935	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean matchesAllInstances(SequenceType testST) { Quantifier stq = sequenceType.getQuantifier(); ItemType it = sequenceType.getItemType(); if (stq.isSubQuantifier(testST.getQuantifier())) { if (it instanceof AnyItemType) { return true; } else if (it.isAtomicType() && testST.getItemType().isAtomicType()) { AtomicType ait = (AtomicType) it; AtomicType testIT = (AtomicType) testST.getItemType(); if (BuiltinTypeRegistry.INSTANCE.isBuiltinTypeId(testIT.getTypeId())) { SchemaType vType = BuiltinTypeRegistry.INSTANCE.getSchemaTypeById(testIT.getTypeId()); while (vType != null && vType.getTypeId() != ait.getTypeId()) { vType = vType.getBaseType(); } return vType != null; } } else if (it instanceof NodeType && testST.getItemType() instanceof NodeType) { NodeType nt = (NodeType) it; NodeKind kind = nt.getNodeKind(); NodeType testNT = (NodeType) testST.getItemType(); NodeKind testKind = testNT.getNodeKind(); if (kind == NodeKind.ANY || kind == testKind) { return true; } } return false; } return false; }	long method	Long method2 Feature envy	t	f	t			0	8393	https://github.com/apache/vxquery/blob/5d1175d2cb04a54ba751295f2ac67daec38bf723/vxquery-core/src/main/java/org/apache/vxquery/runtime/functions/type/SequenceTypeMatcher.java/#L156-L184	2	935	8393
484	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static ClassLoader findClassLoader() throws ConfigurationError { // Figure out which ClassLoader to use for loading the provider // class. If there is a Context ClassLoader then use it. ClassLoader context = SecuritySupport.getContextClassLoader(); ClassLoader system = SecuritySupport.getSystemClassLoader(); ClassLoader chain = system; while (true) { if (context == chain) { // Assert: we are on JDK 1.1 or we have no Context ClassLoader // or any Context ClassLoader in chain of system classloader // (including extension ClassLoader) so extend to widest // ClassLoader (always look in system ClassLoader if Xalan // is in boot/extension/system classpath and in current // ClassLoader otherwise); normal classloaders delegate // back to system ClassLoader first so this widening doesn't // change the fact that context ClassLoader will be consulted ClassLoader current = ObjectFactory.class.getClassLoader(); chain = system; while (true) { if (current == chain) { // Assert: Current ClassLoader in chain of // boot/extension/system ClassLoaders return system; } if (chain == null) { break; } chain = SecuritySupport.getParentClassLoader(chain); } // Assert: Current ClassLoader not in chain of // boot/extension/system ClassLoaders return current; } if (chain == null) { // boot ClassLoader reached break; } // Check for any extension ClassLoaders in chain up to // boot ClassLoader chain = SecuritySupport.getParentClassLoader(chain); }; // Assert: Context ClassLoader not in chain of // boot/extension/system ClassLoaders return context; } // findClassLoader():ClassLoader	long method	long method	t	t	t			0	4743	https://github.com/apache/xalan-j/blob/cba6d7fe7e93defecb98d155e2a780f8a3f1fbaa/src/org/apache/xalan/xsltc/dom/ObjectFactory.java/#L391-L443	1	484	4743
5166	:Parse the thrift exception and identify if exception belongs to workspace project or else Args: isAiravataException (bool) An object handle Returns: string YES I found bad smells the bad smells are: 1. Duplicated code 2. Long method 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	Duplicated code2 Long method3 Feature envy	t	f	t			0	14457	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	2	5166	14457
3806	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Data class 4. Shotgun surgery 5. Duplicate code 6. Inconsistent formatting 7. Poor naming conventions 8. Magic numbers 9. Hard-coded values 10. Excessive commenting	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private JPEGImageMetadataFormat() { super(JPEG.nativeImageMetadataFormatName, CHILD_POLICY_ALL); addElement("JPEGvariety", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_CHOICE); addElement("markerSequence", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_SEQUENCE); addElement("app0JFIF", "JPEGvariety", CHILD_POLICY_SOME); addStreamElements("markerSequence"); addElement("app14Adobe", "markerSequence", CHILD_POLICY_EMPTY); addElement("sof", "markerSequence", 1, 4); addElement("sos", "markerSequence", 1, 4); addElement("JFXX", "app0JFIF", 1, Integer.MAX_VALUE); addElement("app0JFXX", "JFXX", CHILD_POLICY_CHOICE); addElement("app2ICC", "app0JFIF", CHILD_POLICY_EMPTY); addAttribute("app0JFIF", "majorVersion", DATATYPE_INTEGER, false, "1", "0", "255", true, true); addAttribute("app0JFIF", "minorVersion", DATATYPE_INTEGER, false, "2", "0", "255", true, true); List resUnits = new ArrayList<>(); resUnits.add("0"); resUnits.add("1"); resUnits.add("2"); addAttribute("app0JFIF", "resUnits", DATATYPE_INTEGER, false, "0", resUnits); addAttribute("app0JFIF", "Xdensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "Ydensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "thumbWidth", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addAttribute("app0JFIF", "thumbHeight", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addElement("JFIFthumbJPEG", "app0JFXX", CHILD_POLICY_SOME); addElement("JFIFthumbPalette", "app0JFXX", CHILD_POLICY_EMPTY); addElement("JFIFthumbRGB", "app0JFXX", CHILD_POLICY_EMPTY); List codes = new ArrayList<>(); codes.add("16"); // Hex 10 codes.add("17"); // Hex 11 codes.add("19"); // Hex 13 addAttribute("app0JFXX", "extensionCode", DATATYPE_INTEGER, false, null, codes); addChildElement("markerSequence", "JFIFthumbJPEG"); addAttribute("JFIFthumbPalette", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbPalette", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addObjectValue("app2ICC", ICC_Profile.class, false, null); addAttribute("app14Adobe", "version", DATATYPE_INTEGER, false, "100", "100", "255", true, true); addAttribute("app14Adobe", "flags0", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); addAttribute("app14Adobe", "flags1", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); List transforms = new ArrayList<>(); transforms.add("0"); transforms.add("1"); transforms.add("2"); addAttribute("app14Adobe", "transform", DATATYPE_INTEGER, true, null, transforms); addElement("componentSpec", "sof", CHILD_POLICY_EMPTY); List procs = new ArrayList<>(); procs.add("0"); procs.add("1"); procs.add("2"); addAttribute("sof", "process", DATATYPE_INTEGER, false, null, procs); addAttribute("sof", "samplePrecision", DATATYPE_INTEGER, false, "8"); addAttribute("sof", "numLines", DATATYPE_INTEGER, false, null, "0", "65535", true, true); addAttribute("sof", "samplesPerLine", DATATYPE_INTEGER, false, null, "0", "65535", true, true); List comps = new ArrayList<>(); comps.add("1"); comps.add("2"); comps.add("3"); comps.add("4"); addAttribute("sof", "numFrameComponents", DATATYPE_INTEGER, false, null, comps); addAttribute("componentSpec", "componentId", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("componentSpec", "HsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); addAttribute("componentSpec", "VsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); List tabids = new ArrayList<>(); tabids.add("0"); tabids.add("1"); tabids.add("2"); tabids.add("3"); addAttribute("componentSpec", "QtableSelector", DATATYPE_INTEGER, true, null, tabids); addElement("scanComponentSpec", "sos", CHILD_POLICY_EMPTY); addAttribute("sos", "numScanComponents", DATATYPE_INTEGER, true, null, comps); addAttribute("sos", "startSpectralSelection", DATATYPE_INTEGER, false, "0", "0", "63", true, true); addAttribute("sos", "endSpectralSelection", DATATYPE_INTEGER, false, "63", "0", "63", true, true); addAttribute("sos", "approxHigh", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("sos", "approxLow", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("scanComponentSpec", "componentSelector", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("scanComponentSpec", "dcHuffTable", DATATYPE_INTEGER, true, null, tabids); addAttribute("scanComponentSpec", "acHuffTable", DATATYPE_INTEGER, true, null, tabids); }	long method	Long method2 Feature envy3 Data class4 Shotgun surgery5 Duplicate code6 Inconsistent formatting7 Poor naming conventions8 Magic numbers9 Hard-coded values	t	f	t			0	9657	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/com/sun/imageio/plugins/jpeg/JPEGImageMetadataFormat.java/#L43-L338	2	3806	9657
1430	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Lack of cohesion 5. Poor exception handling 6. Nested try-catch blocks 7. Inappropriate use of if-else statements 8. Poor naming conventions (e.g. methodName, meth) 9. Too many parameters in method's signature 10. Coupled code (e.g. accessing methods and fields from other classes without proper encapsulation)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Object invoke(String methodName, Object returnValueIfNonExistent, Class[] paramTypes, Object[] params) throws DocletInvokeException { Method meth; try { meth = docletClass.getMethod(methodName, paramTypes); } catch (NoSuchMethodException exc) { if (returnValueIfNonExistent == null) { messager.error(Messager.NOPOS, "main.doclet_method_not_found", docletClassName, methodName); throw new DocletInvokeException(); } else { return returnValueIfNonExistent; } } catch (SecurityException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } if (!Modifier.isStatic(meth.getModifiers())) { messager.error(Messager.NOPOS, "main.doclet_method_must_be_static", docletClassName, methodName); throw new DocletInvokeException(); } ClassLoader savedCCL = Thread.currentThread().getContextClassLoader(); try { if (appClassLoader != null) // will be null if doclet class provided via API Thread.currentThread().setContextClassLoader(appClassLoader); return meth.invoke(null , params); } catch (IllegalArgumentException | NullPointerException exc) { messager.error(Messager.NOPOS, "main.internal_error_exception_thrown", docletClassName, methodName, exc.toString()); throw new DocletInvokeException(); } catch (IllegalAccessException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } catch (InvocationTargetException exc) { Throwable err = exc.getTargetException(); if (apiMode) throw new ClientCodeException(err); if (err instanceof java.lang.OutOfMemoryError) { messager.error(Messager.NOPOS, "main.out.of.memory"); } else { messager.error(Messager.NOPOS, "main.exception_thrown", docletClassName, methodName, exc.toString()); exc.getTargetException().printStackTrace(System.err); } throw new DocletInvokeException(); } finally { Thread.currentThread().setContextClassLoader(savedCCL); } }	long method	Long method2 Feature envy3 Duplicate code4 Lack of cohesion5 Poor exception handling6 Nested try-catch blocks7 Inappropriate use of if-else statements8 Poor naming conventions (eg methodName, meth)9 Too many parameters in method's signature	t	f	t	meth)9. Too many parameters in method's signature		0	10952	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.javadoc/share/classes/com/sun/tools/javadoc/main/DocletInvoker.java/#L303-L357	2	1430	10952
1830	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public double correlation(final double[] xArray, final double[] yArray) throws DimensionMismatchException { if (xArray.length != yArray.length) { throw new DimensionMismatchException(xArray.length, yArray.length); } final int n = xArray.length; final long numPairs = sum(n - 1); @SuppressWarnings("unchecked") Pair[] pairs = new Pair[n]; for (int i = 0; i < n; i++) { pairs[i] = new Pair<>(xArray[i], yArray[i]); } Arrays.sort(pairs, new Comparator>() { /** {@inheritDoc} */ @Override public int compare(Pair pair1, Pair pair2) { int compareFirst = pair1.getFirst().compareTo(pair2.getFirst()); return compareFirst != 0 ? compareFirst : pair1.getSecond().compareTo(pair2.getSecond()); } }); long tiedXPairs = 0; long tiedXYPairs = 0; long consecutiveXTies = 1; long consecutiveXYTies = 1; Pair prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getFirst().equals(prev.getFirst())) { consecutiveXTies++; if (curr.getSecond().equals(prev.getSecond())) { consecutiveXYTies++; } else { tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } } else { tiedXPairs += sum(consecutiveXTies - 1); consecutiveXTies = 1; tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } prev = curr; } tiedXPairs += sum(consecutiveXTies - 1); tiedXYPairs += sum(consecutiveXYTies - 1); long swaps = 0; @SuppressWarnings("unchecked") Pair[] pairsDestination = new Pair[n]; for (int segmentSize = 1; segmentSize < n; segmentSize <<= 1) { for (int offset = 0; offset < n; offset += 2 * segmentSize) { int i = offset; final int iEnd = FastMath.min(i + segmentSize, n); int j = iEnd; final int jEnd = FastMath.min(j + segmentSize, n); int copyLocation = offset; while (i < iEnd || j < jEnd) { if (i < iEnd) { if (j < jEnd) { if (pairs[i].getSecond().compareTo(pairs[j].getSecond()) <= 0) { pairsDestination[copyLocation] = pairs[i]; i++; } else { pairsDestination[copyLocation] = pairs[j]; j++; swaps += iEnd - i; } } else { pairsDestination[copyLocation] = pairs[i]; i++; } } else { pairsDestination[copyLocation] = pairs[j]; j++; } copyLocation++; } } final Pair[] pairsTemp = pairs; pairs = pairsDestination; pairsDestination = pairsTemp; } long tiedYPairs = 0; long consecutiveYTies = 1; prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getSecond().equals(prev.getSecond())) { consecutiveYTies++; } else { tiedYPairs += sum(consecutiveYTies - 1); consecutiveYTies = 1; } prev = curr; } tiedYPairs += sum(consecutiveYTies - 1); final long concordantMinusDiscordant = numPairs - tiedXPairs - tiedYPairs + tiedXYPairs - 2 * swaps; final double nonTiedPairsMultiplied = (numPairs - tiedXPairs) * (double) (numPairs - tiedYPairs); return concordantMinusDiscordant / FastMath.sqrt(nonTiedPairsMultiplied); }	long method	Long method2 Feature envy	t	f	t			0	12121	https://github.com/apache/commons-math/blob/f3719d89ab6a928e8618bbe6a7da8214d9d6eb07/src/main/java/org/apache/commons/math4/stat/correlation/KendallsCorrelation.java/#L154-L261	2	1830	12121
1654	YES I found bad smells the bad smells are: 1. Feature envy, 2. Long method, 3. Duplicate code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public String getLoggerLevel(String loggerName) { String result = null; /*[IF Sidecar19-SE]*/ try { Object logger = getLoggerFromName(loggerName); /*[ELSE] Logger logger = LogManager.getLogManager().getLogger(loggerName); /*[ENDIF]*/ if (logger != null) { // The named Logger exists. Now attempt to obtain its log level. /*[IF Sidecar19-SE]*/ Object level = logger_getLevel.invoke(logger); /*[ELSE] Level level = logger.getLevel(); /*[ENDIF]*/ if (level != null) { /*[IF Sidecar19-SE]*/ result = (String)level_getName.invoke(level); /*[ELSE] result = level.getName(); /*[ENDIF]*/ } else { // A null return from getLevel() means that the Logger // is inheriting its log level from an ancestor. Return an // empty string to the caller. result = ""; //$NON-NLS-1$ } } /*[IF Sidecar19-SE]*/ } catch (Exception e) { throw handleError(e); } /*[ENDIF]*/ return result; }	long method	Feature envy, 2 Long method, 3 Duplicate code	t	f	t	. Feature envy, 3. Duplicate code		0	11585	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/jcl/src/java.management/share/classes/com/ibm/java/lang/management/internal/LoggingMXBeanImpl.java/#L148-L186	2	1654	11585
2673	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	Long method2 Feature envy	t	f	t			0	15225	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	2	2673	15225
2304	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicated code 4. Inconsistent formatting/layout 5. Magic numbers/constants 6. Non-descriptive variable names 7. Use of multiple nested if-else statements 8. Lack of comments/documentation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void configure(TestElement el) { setName(el.getName()); Arguments arguments = (Arguments) el.getProperty(HTTPSamplerBase.ARGUMENTS).getObjectValue(); boolean useRaw = el.getPropertyAsBoolean(HTTPSamplerBase.POST_BODY_RAW, HTTPSamplerBase.POST_BODY_RAW_DEFAULT); if(useRaw) { String postBody = computePostBody(arguments, true); // Convert CRLF to CR, see modifyTestElement postBodyContent.setInitialText(postBody); postBodyContent.setCaretPosition(0); argsPanel.clear(); postContentTabbedPane.setSelectedIndex(tabRawBodyIndex, false); } else { postBodyContent.setInitialText(""); argsPanel.configure(arguments); postContentTabbedPane.setSelectedIndex(TAB_PARAMETERS, false); } if(showFileUploadPane) { filesPanel.configure(el); } domain.setText(el.getPropertyAsString(HTTPSamplerBase.DOMAIN)); String portString = el.getPropertyAsString(HTTPSamplerBase.PORT); // Only display the port number if it is meaningfully specified if (portString.equals(HTTPSamplerBase.UNSPECIFIED_PORT_AS_STRING)) { port.setText(""); // $NON-NLS-1$ } else { port.setText(portString); } protocol.setText(el.getPropertyAsString(HTTPSamplerBase.PROTOCOL)); contentEncoding.setText(el.getPropertyAsString(HTTPSamplerBase.CONTENT_ENCODING)); path.setText(el.getPropertyAsString(HTTPSamplerBase.PATH)); if (notConfigOnly){ method.setText(el.getPropertyAsString(HTTPSamplerBase.METHOD)); followRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.FOLLOW_REDIRECTS)); autoRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.AUTO_REDIRECTS)); useKeepAlive.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.USE_KEEPALIVE)); useMultipart.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.DO_MULTIPART_POST)); useBrowserCompatibleMultipartMode.setSelected(el.getPropertyAsBoolean( HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART, HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART_MODE_DEFAULT)); } }	long method	Long method2 Feature envy3 Duplicated code4 Inconsistent formatting/layout5 Magic numbers/constants6 Non-descriptive variable names7 Use of multiple nested if-else statements8 Lack of comments/documentation	t	f	t			0	14061	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/protocol/http/org/apache/jmeter/protocol/http/config/gui/UrlConfigGui.java/#L272-L314	2	2304	14061
1311	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	Long method2 Feature envy	t	f	t			0	10681	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	2	1311	10681
5561	{ "output": "YES I found bad smells", "bad smells are": "1.Long method, 2.Feature envy" }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: } private boolean mergeMap(Map fragmentMap, Map mainMap, Map tempMap, WebXml fragment, String mapName) { for (Entry entry : fragmentMap.entrySet()) { final String key = entry.getKey(); if (!mainMap.containsKey(key)) { // Not defined in main web.xml T value = entry.getValue(); if (tempMap.containsKey(key)) { if (value != null && !value.equals( tempMap.get(key))) { log.error(sm.getString( "webXml.mergeConflictString", mapName, key, fragment.getName(), fragment.getURL())); return false; } } else { tempMap.put(key, value); } } } return true;	long method	1.long method, 2.feature envy	t	t	f	2.feature envy	long method	0	7769	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/tomcat/util/descriptor/web/WebXml.java/#L1961-L1987	2	5561	7769
281	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public DirectWriteRolloverStrategy build() { int maxIndex = Integer.MAX_VALUE; if (maxFiles != null) { maxIndex = Integer.parseInt(maxFiles); if (maxIndex < 0) { maxIndex = Integer.MAX_VALUE; } else if (maxIndex < 2) { LOGGER.error("Maximum files too small. Limited to " + DEFAULT_MAX_FILES); maxIndex = DEFAULT_MAX_FILES; } } final int compressionLevel = Integers.parseInt(compressionLevelStr, Deflater.DEFAULT_COMPRESSION); return new DirectWriteRolloverStrategy(maxIndex, compressionLevel, config.getStrSubstitutor(), customActions, stopCustomActionsOnError, tempCompressedFilePattern); }	long method	long method	t	t	t			0	3011	https://github.com/apache/logging-log4j2/blob/9b6bb237ae8771ffbf6d61ed07b0acb4f4dc2da6/log4j-core/src/main/java/org/apache/logging/log4j/core/appender/rolling/DirectWriteRolloverStrategy.java/#L84-L99	1	281	3011
2683	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public final Description matchClass(ClassTree classTree, VisitorState state) { if (!HAS_CONSTRUCTORS_WITH_INJECT.matches(classTree, state)) { return Description.NO_MATCH; } List ctors = ASTHelpers.getConstructors(classTree); List ctorsWithInject = ctors.stream() .filter(c -> hasInjectAnnotation().matches(c, state)) .collect(toImmutableList()); if (ctorsWithInject.size() != 1) { // Injection frameworks don't support multiple @Inject ctors. // There is already an ERROR check for it. // http://errorprone.info/bugpattern/MoreThanOneInjectableConstructor return Description.NO_MATCH; } // collect the assignments in ctor Set variablesAssigned = new HashSet<>(); new TreeScanner() { @Override public Void visitAssignment(AssignmentTree tree, Void unused) { Symbol symbol = ASTHelpers.getSymbol(tree.getVariable()); // check if it is instance field. if (symbol != null && symbol.getKind() == ElementKind.FIELD && !symbol.isStatic()) { variablesAssigned.add(symbol); } return super.visitAssignment(tree, null); } }.scan((JCTree) getOnlyElement(ctorsWithInject), null); SuggestedFix.Builder fix = SuggestedFix.builder(); VariableTree variableTreeFirstMatch = null; for (Tree member : classTree.getMembers()) { if (!(member instanceof VariableTree)) { continue; } VariableTree variableTree = (VariableTree) member; if (!INSTANCE_FIELD_WITH_INJECT.matches(variableTree, state)) { continue; } if (!variablesAssigned.contains(ASTHelpers.getSymbol(variableTree))) { continue; } variableTreeFirstMatch = variableTree; removeInjectAnnotationFromVariable(variableTree, state).ifPresent(fix::merge); } if (variableTreeFirstMatch == null) { return Description.NO_MATCH; } if (fix.isEmpty()) { return describeMatch(variableTreeFirstMatch); } return describeMatch(variableTreeFirstMatch, fix.build()); }	long method	long method, blob	t	t	t	blob		0	15269	https://github.com/google/error-prone/blob/61cb540c08ec63faa56dccce00049cff1f8b41ea/core/src/main/java/com/google/errorprone/bugpatterns/inject/InjectOnMemberAndConstructor.java/#L72-L128	1	2683	15269
1428	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void doRawReceiveFile(File path, int size, InputStream clientInput) throws IOException { // Create a temp file to receive the payload, so we don't need to worry about // partially-received files. The host takes care of deleting temp files. File tempfile = File.createTempFile( AgentUtil.TEMP_PREFIX + path.getName() + "-", ".tmp", path.getParentFile()); FileOutputStream output = new FileOutputStream(tempfile); // Keep track of our starting time so we can enforce a timeout on slow but steady uploads. long receiveStartMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); // Keep track of the total received size to verify the payload. long totalSize = 0; long totalReceiveTimeoutMs = RECEIVE_TIMEOUT_MS + TOTAL_RECEIVE_TIMEOUT_MS_PER_MB * (size / 1024 / 1024); try { int bufferSize = 128 * 1024; byte[] buf = new byte[bufferSize]; while (true) { long currentTimeMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); if (currentTimeMs - receiveStartMs > totalReceiveTimeoutMs) { throw new RuntimeException("Receive failed to complete before timeout."); } int remaining = size - (int) totalSize; if (remaining == 0) { break; } int want = bufferSize; if (want > remaining) { want = remaining; } int got = clientInput.read(buf, 0, want); if (got == -1) { break; } output.write(buf, 0, got); totalSize += got; } } finally { output.close(); } if (totalSize != size) { throw new RuntimeException("Received only " + totalSize + " of " + size + " bytes."); } boolean success = tempfile.renameTo(path); if (!success) { throw new RuntimeException("Failed to rename temp file."); } }	long method	Long method2 Feature envy	t	f	t			0	10949	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/android/agent/AgentMain.java/#L189-L237	2	1428	10949
609	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String getColumnText(Object element, int columnIndex) { if (element instanceof HadoopServer) { HadoopServer server = (HadoopServer) element; switch (columnIndex) { case 0: return server.getLocationName(); case 1: return server.getMasterHostName().toString(); case 2: return server.getState(); case 3: return ""; } } else if (element instanceof HadoopJob) { HadoopJob job = (HadoopJob) element; switch (columnIndex) { case 0: return job.getJobID().toString(); case 1: return ""; case 2: return job.getState().toString(); case 3: return job.getStatus(); } } else if (element instanceof JarModule) { JarModule jar = (JarModule) element; switch (columnIndex) { case 0: return jar.toString(); case 1: return "Publishing jar to server.."; case 2: return ""; } } return null; }	long method	long method	t	t	t			0	6124	https://github.com/apache/hadoop-mapreduce/blob/307cb5b316e10defdbbc228d8cdcdb627191ea15/src/contrib/eclipse-plugin/src/java/org/apache/hadoop/eclipse/view/servers/ServerView.java/#L369-L410	1	609	6124
1644	YES I found bad smells The bad smells are: 1. Long method 2. Magic numbers 3. Complex conditionals 4. Feature envy 5. Large switch statement 6. Hard-coded values 7. Bad exception handling 8. Code duplication	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	Long method2 Magic numbers3 Complex conditionals4 Feature envy5 Large switch statement6 Hard-coded values7 Bad exception handling8 Code duplication	t	f	t			0	11558	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	2	1644	11558
1004	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void bind(PropertyList pList) throws FOPException { super.bind(pList); alignmentAdjust = pList.get(PR_ALIGNMENT_ADJUST).getLength(); alignmentBaseline = pList.get(PR_ALIGNMENT_BASELINE).getEnum(); baselineShift = pList.get(PR_BASELINE_SHIFT).getLength(); dominantBaseline = pList.get(PR_DOMINANT_BASELINE).getEnum(); leaderAlignment = pList.get(PR_LEADER_ALIGNMENT).getEnum(); leaderLength = pList.get(PR_LEADER_LENGTH).getLengthRange(); leaderPattern = pList.get(PR_LEADER_PATTERN).getEnum(); leaderPatternWidth = pList.get(PR_LEADER_PATTERN_WIDTH).getLength(); // use default rule thickness as a default ruleThickness = getPropertyMakerFor(PR_RULE_THICKNESS).make(pList).getLength(); switch(leaderPattern) { case EN_SPACE: // use Space break; case EN_RULE: // the following properties only apply // for leader-pattern = "rule" ruleStyle = pList.get(PR_RULE_STYLE).getEnum(); // use specified rule thickness to override default (established above) ruleThickness = pList.get(PR_RULE_THICKNESS).getLength(); break; case EN_DOTS: break; case EN_USECONTENT: // use inline layout manager to create inline areas // add the inline parent multiple times until leader full break; default: throw new RuntimeException("Invalid leader pattern: " + leaderPattern); } // letterSpacing = pList.get(PR_LETTER_SPACING); // textShadow = pList.get(PR_TEXT_SHADOW); }	long method	Long method2 Feature envy	t	f	t			0	9254	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fo/flow/Leader.java/#L72-L106	2	1004	9254
2504	{ "answer": "YES I found bad smells", "bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void validateDepositDetailForUpdate(final JsonElement element, final FromJsonHelper fromApiJsonHelper, final DataValidatorBuilder baseDataValidator) { if (fromApiJsonHelper.parameterExists(nameParamName, element)) { final String name = fromApiJsonHelper.extractStringNamed(nameParamName, element); baseDataValidator.reset().parameter(nameParamName).value(name).notBlank().notExceedingLengthOf(100); } if (fromApiJsonHelper.parameterExists(shortNameParamName, element)) { final String shortName = fromApiJsonHelper.extractStringNamed(shortNameParamName, element); baseDataValidator.reset().parameter(shortNameParamName).value(shortName).notBlank().notExceedingLengthOf(4); } if (fromApiJsonHelper.parameterExists(descriptionParamName, element)) { final String description = fromApiJsonHelper.extractStringNamed(descriptionParamName, element); baseDataValidator.reset().parameter(descriptionParamName).value(description).notBlank().notExceedingLengthOf(500); } if (fromApiJsonHelper.parameterExists(currencyCodeParamName, element)) { final String currencyCode = fromApiJsonHelper.extractStringNamed(currencyCodeParamName, element); baseDataValidator.reset().parameter(currencyCodeParamName).value(currencyCode).notBlank(); } if (fromApiJsonHelper.parameterExists(digitsAfterDecimalParamName, element)) { final Integer digitsAfterDecimal = fromApiJsonHelper.extractIntegerSansLocaleNamed(digitsAfterDecimalParamName, element); baseDataValidator.reset().parameter(digitsAfterDecimalParamName).value(digitsAfterDecimal).notNull().inMinMaxRange(0, 6); } if (fromApiJsonHelper.parameterExists(inMultiplesOfParamName, element)) { final Integer inMultiplesOf = fromApiJsonHelper.extractIntegerNamed(inMultiplesOfParamName, element, Locale.getDefault()); baseDataValidator.reset().parameter(inMultiplesOfParamName).value(inMultiplesOf).ignoreIfNull().integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(nominalAnnualInterestRateParamName, element)) { final BigDecimal interestRate = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(nominalAnnualInterestRateParamName, element); baseDataValidator.reset().parameter(nominalAnnualInterestRateParamName).value(interestRate).notNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(interestCompoundingPeriodTypeParamName, element)) { final Integer interestCompoundingPeriodType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCompoundingPeriodTypeParamName, element); baseDataValidator.reset().parameter(interestCompoundingPeriodTypeParamName).value(interestCompoundingPeriodType).notNull() .isOneOfTheseValues(SavingsCompoundingInterestPeriodType.integerValues()); } if (fromApiJsonHelper.parameterExists(interestCalculationTypeParamName, element)) { final Integer interestCalculationType = fromApiJsonHelper.extractIntegerSansLocaleNamed(interestCalculationTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationTypeParamName).value(interestCalculationType).notNull() .inMinMaxRange(1, 2); } if (fromApiJsonHelper.parameterExists(interestCalculationDaysInYearTypeParamName, element)) { final Integer interestCalculationDaysInYearType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCalculationDaysInYearTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationDaysInYearTypeParamName).value(interestCalculationDaysInYearType) .notNull().isOneOfTheseValues(360, 365); } if (fromApiJsonHelper.parameterExists(minRequiredOpeningBalanceParamName, element)) { final BigDecimal minOpeningBalance = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(minRequiredOpeningBalanceParamName, element); baseDataValidator.reset().parameter(minRequiredOpeningBalanceParamName).value(minOpeningBalance).ignoreIfNull() .zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyParamName, element)) { final Integer lockinPeriodFrequency = fromApiJsonHelper.extractIntegerWithLocaleNamed(lockinPeriodFrequencyParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyParamName).value(lockinPeriodFrequency).ignoreIfNull() .integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyTypeParamName, element)) { final Integer lockinPeriodFrequencyType = fromApiJsonHelper.extractIntegerSansLocaleNamed(lockinPeriodFrequencyTypeParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyTypeParamName).value(lockinPeriodFrequencyType).inMinMaxRange(0, 3); } if (fromApiJsonHelper.parameterExists(withdrawalFeeForTransfersParamName, element)) { final Boolean isWithdrawalFeeApplicableForTransfers = fromApiJsonHelper.extractBooleanNamed(withdrawalFeeForTransfersParamName, element); baseDataValidator.reset().parameter(withdrawalFeeForTransfersParamName).value(isWithdrawalFeeApplicableForTransfers) .ignoreIfNull().validateForBooleanValue(); } if (fromApiJsonHelper.parameterExists(feeAmountParamName, element)) { final BigDecimal annualFeeAmount = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(feeAmountParamName, element); baseDataValidator.reset().parameter(feeAmountParamName).value(annualFeeAmount).ignoreIfNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(feeOnMonthDayParamName, element)) { final MonthDay monthDayOfAnnualFee = fromApiJsonHelper.extractMonthDayNamed(feeOnMonthDayParamName, element); baseDataValidator.reset().parameter(feeOnMonthDayParamName).value(monthDayOfAnnualFee).ignoreIfNull(); } if (this.fromApiJsonHelper.parameterExists(minBalanceForInterestCalculationParamName, element)) { final BigDecimal minBalanceForInterestCalculation = this.fromApiJsonHelper.extractBigDecimalWithLocaleNamed( minBalanceForInterestCalculationParamName, element); baseDataValidator.reset().parameter(minBalanceForInterestCalculationParamName).value(minBalanceForInterestCalculation) .ignoreIfNull().zeroOrPositiveAmount(); } final Long savingsControlAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue()).value(savingsControlAccountId) .ignoreIfNull().integerGreaterThanZero(); final Long savingsReferenceAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue()) .value(savingsReferenceAccountId).ignoreIfNull().integerGreaterThanZero(); final Long transfersInSuspenseAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue()) .value(transfersInSuspenseAccountId).ignoreIfNull().integerGreaterThanZero(); final Long interestOnSavingsAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue()) .value(interestOnSavingsAccountId).ignoreIfNull().integerGreaterThanZero(); final Long incomeFromFeeId = fromApiJsonHelper.extractLongNamed(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue()).value(incomeFromFeeId) .ignoreIfNull().integerGreaterThanZero(); final Long incomeFromPenaltyId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue()).value(incomeFromPenaltyId) .ignoreIfNull().integerGreaterThanZero(); validatePaymentChannelFundSourceMappings(fromApiJsonHelper, baseDataValidator, element); validateChargeToIncomeAccountMappings(fromApiJsonHelper, baseDataValidator, element); validateTaxWithHoldingParams(baseDataValidator, element, false); }	long method	long method	t	t	t			0	14666	https://github.com/apache/fineract/blob/210e380df3ca5c74c8c2fa09e7fe1cffdb87e20a/fineract-provider/src/main/java/org/apache/fineract/portfolio/savings/data/DepositProductDataValidator.java/#L413-L547	1	2504	14666
1837	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy: the NormalizeResutlSetNode class is accessing methods and data from other classes, including chldRes, targetResultColumnList, and ResultColumnList, which suggests that feature envy is present in this code. 3. Magic numbers: the use of constants, such as "true" and "false" in boolean expressions, suggests the presence of magic numbers. 4. Poor naming conventions: variable and method names are not descriptive enough, making it difficult to understand the purpose of each piece of code. 5. Lack of comments/documentation: there are few comments in the code, making it difficult to understand the purpose and functionality of each method. 6. Complex/unnecessary logic: the code could be simplified and made more efficient through refactoring. 7. Code duplication: some lines of code, such as "chldRes.getResultColumns()", are duplicated in different parts of the code, indicating code duplication. 8. Inconsistent formatting: the indentations and spacing are inconsistent throughout the code, making it difficult to read and understand. 9. Violation of encapsulation: some methods, such as "setResultColumns()", are accessing private data from other classes, breaking the principle of encapsulation.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: NormalizeResultSetNode(ResultSetNode chldRes, ResultColumnList targetResultColumnList, Properties tableProperties, boolean forUpdate, ContextManager cm) throws StandardException { super(chldRes, tableProperties, cm); this.forUpdate = forUpdate; ResultColumnList rcl = chldRes.getResultColumns(); ResultColumnList targetRCL = targetResultColumnList; /* We get a shallow copy of the ResultColumnList and its * ResultColumns. (Copy maintains ResultColumn.expression for now.) * * Setting this.resultColumns to the modified child result column list, * and making a new copy for the child result set node * ensures that the ProjectRestrictNode restrictions still points to * the same list. See d3494_npe_writeup-4.html in DERBY-3494 for a * detailed explanation of how this works. */ ResultColumnList prRCList = rcl; chldRes.setResultColumns(rcl.copyListAndObjects()); // Remove any columns that were generated. prRCList.removeGeneratedGroupingColumns(); // And also columns that were added for ORDER BY (DERBY-6006). prRCList.removeOrderByColumns(); /* Replace ResultColumn.expression with new VirtualColumnNodes * in the NormalizeResultSetNode's ResultColumnList. (VirtualColumnNodes include * pointers to source ResultSetNode, rsn, and source ResultColumn.) */ prRCList.genVirtualColumnNodes(chldRes, chldRes.getResultColumns()); setResultColumns( prRCList ); // Propagate the referenced table map if it's already been created if (chldRes.getReferencedTableMap() != null) { setReferencedTableMap((JBitSet) getReferencedTableMap().clone()); } if (targetResultColumnList != null) { int size = Math.min(targetRCL.size(), getResultColumns().size()); for (int index = 0; index < size; index++) { ResultColumn sourceRC = getResultColumns().elementAt(index); ResultColumn resultColumn = targetRCL.elementAt(index); sourceRC.setType(resultColumn.getTypeServices()); } } }	long method	Long method2 Feature envy: the NormalizeResutlSetNode class is accessing methods and data from other classes, including chldRes, targetResultColumnList, and ResultColumnList, which suggests that feature envy is present in this code3 Magic numbers: the use of constants, such as "true" and "false" in boolean expressions, suggests the presence of magic numbers4 Poor naming conventions: variable and method names are not descriptive enough, making it difficult to understand the purpose of each piece of code5 Lack of comments/documentation: there are few comments in the code, making it difficult to understand the purpose and functionality of each method6 Complex/unnecessary logic: the code could be simplified and made more efficient through refactoring7 Code duplication: some lines of code, such as "chldResgetResultColumns()", are duplicated in different parts of the code, indicating code duplication8 Inconsistent formatting: the indentations and spacing are inconsistent throughout the code, making it difficult to read and understand9 Violation of encapsulation: some methods, such as "setResultColumns()", are accessing private data from other classes, breaking the principle of encapsulation	t	f	t	including chldRes, targetResultColumnList, and ResultColumnList, which suggests that feature envy is present in this code.3. Magic numbers: the use of constants, such as "true" and "false" in boolean expressions, suggests the presence of magic numbers.4. Poor naming conventions: variable and method names are not descriptive enough, making it difficult to understand the purpose of each piece of code.5. Lack of comments/documentation: there are few comments in the code, making it difficult to understand the purpose and functionality of each method.6. Complex/unnecessary logic: the code could be simplified and made more efficient through refactoring.7. Code duplication: some lines of code, such as "chldRes.getResultColumns()", are duplicated in different parts of the code, indicating code duplication.8. Inconsistent formatting: the indentations and spacing are inconsistent throughout the code, making it difficult to read and understand.9. Violation of encapsulation: some methods, such as "setResultColumns()", are accessing private data from other classes, breaking the principle of encapsulation.		0	12142	https://github.com/apache/derby/blob/bd246fc89d4fce3f82f8344074ecb8a4713418df/java/org.apache.derby.engine/org/apache/derby/impl/sql/compile/NormalizeResultSetNode.java/#L561-L612	2	1837	12142
1207	{"response":"YES I found bad smells","bad smells are":["Data Class","Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @SuppressWarnings("unchecked") public int executeUpdate(final String inSql) throws SQLException { this.sql = inSql; if (this.sql == null) { throw new SQLException("sql is null"); } trimSQL(); if (this.sql.length() == 0) { throw new SQLException("empty sql"); } String lowcaseSql = this.sql.toLowerCase(); Object req = null; // TODO use patterns if (lowcaseSql.startsWith("create domain") || lowcaseSql.startsWith("create table")) { //$NON-NLS-1$ int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); req = new CreateDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete domain") || lowcaseSql.startsWith("delete table") //$NON-NLS-1$ || lowcaseSql.startsWith("drop table")) { int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); List pending = this.conn.getPendingColumns(domain); if (pending != null) { pending = new ArrayList<>(pending); for (String attr : pending) { this.conn.removePendingColumn(domain, attr); } } req = new DeleteDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete from")) { req = prepareDeleteRowRequest(); } else if (lowcaseSql.startsWith("alter table ")) { req = prepareDropAttributeRequest(); } else if (lowcaseSql.startsWith("insert ")) { req = prepareInsertRequest(); } else if (lowcaseSql.startsWith("update ")) { req = prepareUpdateRequest(); } else if (lowcaseSql.startsWith("create testdomain ")) { req = new ArrayList<>(); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(this.sql.lastIndexOf(" ") + 1).trim(), //$NON-NLS-1$ DELIMITED_IDENTIFIER_QUOTE); ((List) req).add(new CreateDomainRequest().withDomainName(domain)); ReplaceableAttribute attr = new ReplaceableAttribute().withName("attr1").withValue("val1").withReplace(Boolean.TRUE); for (int i = 0; i < 570; i++) { ((List) req).add(new PutAttributesRequest().withDomainName(domain).withItemName("item" + i).withAttributes(attr)); } } if (req != null) { int result = executeSDBRequest(req); if (this.params != null) { for (Object obj : this.params) { if (obj instanceof SimpleDBItemName) { ((SimpleDBItemName) obj).setPersisted(true); } } } return result; } throw new SQLException("unsupported update: " + this.sql); }	long method	data class, long method	t	t	t	data class		0	10290	https://github.com/aws/aws-toolkit-eclipse/blob/49026f53fdd4f80a7fb997c9e40fe6e638a26edc/bundles/com.amazonaws.eclipse.simpledb/src/com/amazonaws/eclipse/datatools/enablement/simpledb/internal/driver/JdbcStatement.java/#L432-L502	1	1207	10290
971	{ "output": "YES I found bad smells\nthe bad smells are: Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final EObject ruleXOtherOperatorExpression() throws RecognitionException { EObject current = null; EObject this_XAdditiveExpression_0 = null; EObject lv_rightOperand_3_0 = null; enterRule(); try { // InternalXbase.g:873:2: ( (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) ) // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) { // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) // InternalXbase.g:875:3: this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getXAdditiveExpressionParserRuleCall_0()); } pushFollow(FOLLOW_14); this_XAdditiveExpression_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current = this_XAdditiveExpression_0; afterParserOrEnumRuleCall(); } // InternalXbase.g:883:3: ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* loop11: do { int alt11=2; alt11 = dfa11.predict(input); switch (alt11) { case 1 : // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) { // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) // InternalXbase.g:885:5: ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) { // InternalXbase.g:895:5: ( () ( ( ruleOpOther ) ) ) // InternalXbase.g:896:6: () ( ( ruleOpOther ) ) { // InternalXbase.g:896:6: () // InternalXbase.g:897:7: { if ( state.backtracking==0 ) { current = forceCreateModelElementAndSet( grammarAccess.getXOtherOperatorExpressionAccess().getXBinaryOperationLeftOperandAction_1_0_0_0(), current); } } // InternalXbase.g:903:6: ( ( ruleOpOther ) ) // InternalXbase.g:904:7: ( ruleOpOther ) { // InternalXbase.g:904:7: ( ruleOpOther ) // InternalXbase.g:905:8: ruleOpOther { if ( state.backtracking==0 ) { if (current==null) { current = createModelElement(grammarAccess.getXOtherOperatorExpressionRule()); } } if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getFeatureJvmIdentifiableElementCrossReference_1_0_0_1_0()); } pushFollow(FOLLOW_4); ruleOpOther(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { afterParserOrEnumRuleCall(); } } } } } // InternalXbase.g:921:4: ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) { // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) // InternalXbase.g:923:6: lv_rightOperand_3_0= ruleXAdditiveExpression { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getRightOperandXAdditiveExpressionParserRuleCall_1_1_0()); } pushFollow(FOLLOW_14); lv_rightOperand_3_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { if (current==null) { current = createModelElementForParent(grammarAccess.getXOtherOperatorExpressionRule()); } set( current, "rightOperand", lv_rightOperand_3_0, "org.eclipse.xtext.xbase.Xbase.XAdditiveExpression"); afterParserOrEnumRuleCall(); } } } } break; default : break loop11; } } while (true); } } if ( state.backtracking==0 ) { leaveRule(); } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	long method	t	t	t			0	8713	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/parser/antlr/internal/InternalXbaseParser.java/#L2675-L2841	1	971	8713
471	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	long method	t	t	t			0	4568	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	1	471	4568
1188	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String toString() { return "ExecInfo{" + "id='" + id + '\'' + ", container=" + container + ", processConfig=" + processConfig + ", openStdout='" + openStdout + '\'' + ", openStderr='" + openStderr + '\'' + ", openStdin='" + openStdin + '\'' + ", running='" + running + '\'' + ", exitCode='" + exitCode + '\'' + '}'; }	long method	long method, data class	t	t	t	data class		0	10247	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/infrastructures/docker/docker-client/src/main/java/org/eclipse/che/infrastructure/docker/client/json/ExecInfo.java/#L90-L116	1	1188	10247
3840	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public final Description matchClass(ClassTree classTree, VisitorState state) { if (!HAS_CONSTRUCTORS_WITH_INJECT.matches(classTree, state)) { return Description.NO_MATCH; } List ctors = ASTHelpers.getConstructors(classTree); List ctorsWithInject = ctors.stream() .filter(c -> hasInjectAnnotation().matches(c, state)) .collect(toImmutableList()); if (ctorsWithInject.size() != 1) { // Injection frameworks don't support multiple @Inject ctors. // There is already an ERROR check for it. // http://errorprone.info/bugpattern/MoreThanOneInjectableConstructor return Description.NO_MATCH; } // collect the assignments in ctor Set variablesAssigned = new HashSet<>(); new TreeScanner() { @Override public Void visitAssignment(AssignmentTree tree, Void unused) { Symbol symbol = ASTHelpers.getSymbol(tree.getVariable()); // check if it is instance field. if (symbol != null && symbol.getKind() == ElementKind.FIELD && !symbol.isStatic()) { variablesAssigned.add(symbol); } return super.visitAssignment(tree, null); } }.scan((JCTree) getOnlyElement(ctorsWithInject), null); SuggestedFix.Builder fix = SuggestedFix.builder(); VariableTree variableTreeFirstMatch = null; for (Tree member : classTree.getMembers()) { if (!(member instanceof VariableTree)) { continue; } VariableTree variableTree = (VariableTree) member; if (!INSTANCE_FIELD_WITH_INJECT.matches(variableTree, state)) { continue; } if (!variablesAssigned.contains(ASTHelpers.getSymbol(variableTree))) { continue; } variableTreeFirstMatch = variableTree; removeInjectAnnotationFromVariable(variableTree, state).ifPresent(fix::merge); } if (variableTreeFirstMatch == null) { return Description.NO_MATCH; } if (fix.isEmpty()) { return describeMatch(variableTreeFirstMatch); } return describeMatch(variableTreeFirstMatch, fix.build()); }	long method	long method	t	t	t			0	9895	https://github.com/google/error-prone/blob/61cb540c08ec63faa56dccce00049cff1f8b41ea/core/src/main/java/com/google/errorprone/bugpatterns/inject/InjectOnMemberAndConstructor.java/#L72-L128	1	3840	9895
2104	{ "message": "YES I found bad smells", "detected_bad_smells": [ { "bad_smell": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: // System.out.println(" skip rewind!"); // } } assert length == f.prefix; assert termOrd == f.termOrdOrig; } else { f.nextEnt = -1; f.prefix = length; f.state.termBlockOrd = 0; f.termOrdOrig = termOrd; // System.out.println("set termOrdOrig=" + termOrd); f.termOrd = termOrd; f.fpOrig = f.fp = fp; f.lastSubFP = -1; // if (DEBUG) { // final int sav = term.length; // term.length = length; // System.out.println(" push new frame ord=" + f.ord + " fp=" + f.fp + " hasTerms=" + f.hasTerms + " isFloor=" + f.isFloor + " pref=" + brToString(term)); // term.length = sav; // } } return f; } // asserts only private boolean clearEOF() { eof = false; return true; } // asserts only private boolean setEOF() { eof = true; return true;	long method	bad_smell: long method	t	t	f		long method	0	13168	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/codecs/src/java/org/apache/lucene/codecs/blocktreeords/OrdsSegmentTermsEnum.java/#L174-L208	1	2104	13168
1942	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ApplicationDTO buildApplicationDTO( ApplicationRuntimeInformation ari) { ApplicationDTO applicationDTO = new ApplicationDTO(){}; applicationDTO.name = getServiceName( ari._cachingServiceReference::getProperty); applicationDTO.base = _whiteboard.getApplicationBase( ari._cachingServiceReference::getProperty); applicationDTO.serviceId = (Long)ari._cachingServiceReference.getProperty("service.id"); applicationDTO.resourceDTOs = getApplicationEndpointsStream( applicationDTO.name).toArray( ResourceDTO[]::new ); applicationDTO.extensionDTOs = getApplicationExtensionsStream( applicationDTO.name).toArray( ExtensionDTO[]::new ); Map> nameBoundExtensions = new HashMap<>(); Map> extensionResources = new HashMap<>(); for (ExtensionDTO extensionDTO : applicationDTO.extensionDTOs) { if (extensionDTO.nameBindings == null) { continue; } for (String nameBinding : extensionDTO.nameBindings) { Set extensionDTOS = nameBoundExtensions.computeIfAbsent( nameBinding, __ -> new HashSet<>() ); extensionDTOS.add(extensionDTO); } } for (ResourceDTO resourceDTO : applicationDTO.resourceDTOs) { for (ResourceMethodInfoDTO resourceMethodInfo : resourceDTO.resourceMethods) { if (resourceMethodInfo.nameBindings == null) { continue; } for (String nameBinding : resourceMethodInfo.nameBindings) { Set extensionDTOS = nameBoundExtensions.get( nameBinding); if (extensionDTOS != null) { for (ExtensionDTO extensionDTO : extensionDTOS) { Set resourceDTOS = extensionResources.computeIfAbsent( extensionDTO, __ -> new HashSet<>()); resourceDTOS.add(resourceDTO); } } } } } extensionResources.forEach( (extensionDTO, resourceDTOS) -> extensionDTO.filteredByName = resourceDTOS.toArray( new ResourceDTO[0]) ); CxfJaxrsServiceRegistrator cxfJaxRsServiceRegistrator = ari._cxfJaxRsServiceRegistrator; Bus bus = cxfJaxRsServiceRegistrator.getBus(); Iterable> resourceClasses = cxfJaxRsServiceRegistrator.getStaticResourceClasses(); ArrayList resourceMethodInfoDTOS = new ArrayList<>(); for (Class resourceClass : resourceClasses) { resourceMethodInfoDTOS.addAll( ClassIntrospector.getResourceMethodInfos(resourceClass, bus)); } applicationDTO.resourceMethods = resourceMethodInfoDTOS.toArray( new ResourceMethodInfoDTO[0]); return applicationDTO; }	long method	Long method2 Feature envy	t	f	t			0	12499	https://github.com/apache/aries-jax-rs-whiteboard/blob/73ef94bb74159e97bbe834c3e17a7eb3c34b7bf6/jax-rs.whiteboard/src/main/java/org/apache/aries/jax/rs/whiteboard/internal/AriesJaxrsServiceRuntime.java/#L943-L1037	2	1942	12499
2006	{"response":"YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Action createAction(final ProjectInfo project, final TeamConfiguration team) { Check.notNull(project, "project"); //$NON-NLS-1$ Check.notNull(team, "team"); //$NON-NLS-1$ final String projectGUID = project.getGUID(); // Omit the team name for the default team final String actionName = team.isDefaultTeam() ? project.getName() : MessageFormat.format( Messages.getString("TeamExplorerControl.ProjectSlashTeamFormat"), //$NON-NLS-1$ project.getName(), team.getTeamName()); final Action action = new Action(actionName) { @Override public void run() { final String beforeChangeProjectGUID = context.getCurrentProjectInfo().getGUID(); if (!projectGUID.equals(beforeChangeProjectGUID) || !team.equals(context.getCurrentTeam())) { context.setCurrentProject(projectGUID); context.setCurrentTeam(team); TFSCommonUIClientPlugin.getDefault().projectOrTeamChanged(); // Only invoke this listener if team project changed if (!projectGUID.equals(beforeChangeProjectGUID)) { final boolean tfvc = context.getCurrentProjectInfo().getSourceControlCapabilityFlags().contains( SourceControlCapabilityFlags.TFS); TFSCommonUIClientPlugin.getDefault().sourceControlChanged(tfvc); } } } }; if (projectGUID.equals(context.getCurrentProjectInfo().getGUID()) && team.equals(context.getCurrentTeam())) { action.setChecked(true); } return action; }	long method	1. long method	t	t	f		long method	0	12721	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.client.common.ui/src/com/microsoft/tfs/client/common/ui/controls/teamexplorer/TeamExplorerControl.java/#L607-L647	1	2006	12721
2037	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void crawl(File dirRoot) { LOG.info(String.format("Start crawling dir: %s", dirRoot)); // Reset ingest status.a ingestStatus.clear(); // Load actions. loadAndValidateActions(); // Create Ingester. setupIngester(); // Verify valid crawl directory. if (dirRoot == null || !dirRoot.exists()) { throw new IllegalArgumentException("dir root is null or non existant!"); } // Start crawling. Stack stack = new Stack(); stack.push(dirRoot.isDirectory() ? dirRoot : dirRoot.getParentFile()); while (!stack.isEmpty()) { File dir = (File) stack.pop(); LOG.log(Level.INFO, "Crawling " + dir); File[] productFiles; productFiles = isCrawlForDirs() ? dir.listFiles(DIR_FILTER) : dir.listFiles(FILE_FILTER); if(productFiles!=null) { for (File productFile : productFiles) { ingestStatus.add(handleFile(productFile)); } } if (!isNoRecur()) { File[] subdirs = dir.listFiles(DIR_FILTER); if (subdirs != null) { for (File subdir : subdirs) { stack.push(subdir); } } } } LOG.info(String.format("Finished crawling dir: %s", dirRoot)); }	long method	long method	t	t	t			0	12838	https://github.com/apache/oodt/blob/9f2a500b9d061c31ccd71fc66c4d6e40f0c25acb/crawler/src/main/java/org/apache/oodt/cas/crawl/ProductCrawler.java/#L79-L124	1	2037	12838
491	{ "output": "YES I found bad smells. The bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void initializeOp(Configuration hconf) throws HiveException { // If there is a sort-merge join followed by a regular join, the SMBJoinOperator may not // get initialized at all. Consider the following query: // A SMB B JOIN C // For the mapper processing C, The SMJ is not initialized, no need to close it either. initDone = true; super.initializeOp(hconf); closeCalled = false; this.firstFetchHappened = false; this.inputFileChanged = false; // get the largest table alias from order int maxAlias = 0; for (byte pos = 0; pos < order.length; pos++) { if (pos > maxAlias) { maxAlias = pos; } } maxAlias += 1; nextGroupStorage = new RowContainer[maxAlias]; candidateStorage = new RowContainer[maxAlias]; keyWritables = new ArrayList[maxAlias]; nextKeyWritables = new ArrayList[maxAlias]; fetchDone = new boolean[maxAlias]; foundNextKeyGroup = new boolean[maxAlias]; int bucketSize; // For backwards compatibility reasons we honor the older // HIVEMAPJOINBUCKETCACHESIZE if set different from default. // By hive 0.13 we should remove this code. int oldVar = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEMAPJOINBUCKETCACHESIZE); if (oldVar != 100) { bucketSize = oldVar; } else { bucketSize = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVESMBJOINCACHEROWS); } for (byte pos = 0; pos < order.length; pos++) { RowContainer> rc = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); nextGroupStorage[pos] = rc; RowContainer> candidateRC = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); candidateStorage[pos] = candidateRC; } tagToAlias = conf.convertToArray(conf.getTagToAlias(), String.class); for (byte pos = 0; pos < order.length; pos++) { if (pos != posBigTable) { fetchDone[pos] = false; } foundNextKeyGroup[pos] = false; } }	long method	1. long method	t	t	f		long method	0	4899	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/SMBMapJoinOperator.java/#L102-L166	1	491	4899
336	YES I found bad smells The bad smells are: 1. Long Method 2. Feature Envy 3. Duplicate Code 4. Inconsistent Indentation 5. Primitive Obsession 6. Magic Numbers 7. Bloated code with unnecessary if-else statements	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private synchronized void checkHealth() { CalculatedStatus status = calculateStatus(); boolean healthy = status.isHealthy(); long now = System.currentTimeMillis(); if (healthy) { stateLastGood.set(now); if (lastPublished == LastPublished.FAILED) { if (currentRecoveryStartTime == null) { LOG.info("{} check for {}, now recovering: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing recovering: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentFailureStartTime != null) { LOG.info("{} check for {}, now healthy: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still healthy: {}", new Object[] {this, entity, getDescription(status)}); } } } else { stateLastFail.set(now); if (lastPublished != LastPublished.FAILED) { if (currentFailureStartTime == null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing failing: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentRecoveryStartTime != null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still failed: {}", new Object[] {this, entity, getDescription(status)}); } } } }	long method	Long Method 2 Feature Envy 3 Duplicate Code 4 Inconsistent Indentation 5 Primitive Obsession 6 Magic Numbers 7 Bloated code with unnecessary if-else statements	t	f	t			0	3447	https://github.com/apache/brooklyn-server/blob/880eb1da00f6358d7fd76d065322e3685bfb1a04/policy/src/main/java/org/apache/brooklyn/policy/ha/AbstractFailureDetector.java/#L223-L265	2	336	3447
197	{"message": "YES I found bad smells. The bad smells are: 1. Long method"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: // System.out.println(" skip rewind!"); // } } assert length == f.prefix; assert termOrd == f.termOrdOrig; } else { f.nextEnt = -1; f.prefix = length; f.state.termBlockOrd = 0; f.termOrdOrig = termOrd; // System.out.println("set termOrdOrig=" + termOrd); f.termOrd = termOrd; f.fpOrig = f.fp = fp; f.lastSubFP = -1; // if (DEBUG) { // final int sav = term.length; // term.length = length; // System.out.println(" push new frame ord=" + f.ord + " fp=" + f.fp + " hasTerms=" + f.hasTerms + " isFloor=" + f.isFloor + " pref=" + brToString(term)); // term.length = sav; // } } return f; } // asserts only private boolean clearEOF() { eof = false; return true; } // asserts only private boolean setEOF() { eof = true; return true;	long method	1. long method	t	t	t			0	2237	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/codecs/src/java/org/apache/lucene/codecs/blocktreeords/OrdsSegmentTermsEnum.java/#L174-L208	2	197	2237
5722	YES I found bad smells the bad smells are: 1. Long method 2. Data class 3. Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void writeEdge(I srcId, V srcValue, Edge edge) throws IOException, InterruptedException { if (txcounter == txsize) { txcounter = 0; isFirstElement = true; stopConnection(); startConnection(); } try { JSONObject jsonEdge; String suffix; /* extract the JSON object of the vertex */ jsonEdge = getEdge(srcId, srcValue, edge); /* determine the suffix to add the object into the JSON array */ if (isFirstElement) { isFirstElement = false; suffix = ""; } else { suffix = ","; } rexsterBufferedStream.write(suffix + jsonEdge); txcounter += 1; } catch (JSONException e) { throw new InterruptedException("Error writing the edge: " + e.getMessage()); } }	long method	Long method2 Data class3 Feature envy	t	f	t			0	12971	https://github.com/apache/giraph/blob/d3bf4a2cf5347f7cfd9d217b216c906cb7801217/giraph-rexster/giraph-rexster-io/src/main/java/org/apache/giraph/rexster/io/RexsterEdgeOutputFormat.java/#L167-L198	1	5722	12971
347	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static byte[] encodeBase64(byte[] binaryData, boolean isChunked) { int lengthDataBits = binaryData.length * EIGHTBIT; int fewerThan24bits = lengthDataBits % TWENTYFOURBITGROUP; int numberTriplets = lengthDataBits / TWENTYFOURBITGROUP; byte encodedData[] = null; int encodedDataLength = 0; int nbrChunks = 0; if (fewerThan24bits != 0) { //data not divisible by 24 bit encodedDataLength = (numberTriplets + 1) * 4; } else { // 16 or 8 bit encodedDataLength = numberTriplets * 4; } // If the output is to be "chunked" into 76 character sections, // for compliance with RFC 2045 MIME, then it is important to // allow for extra length to account for the separator(s) if (isChunked) { nbrChunks = (CHUNK_SEPARATOR.length == 0 ? 0 : (int)Math.ceil((float)encodedDataLength / CHUNK_SIZE)); encodedDataLength += nbrChunks * CHUNK_SEPARATOR.length; } encodedData = new byte[encodedDataLength]; byte k = 0, l = 0, b1 = 0, b2 = 0, b3 = 0; int encodedIndex = 0; int dataIndex = 0; int i = 0; int nextSeparatorIndex = CHUNK_SIZE; int chunksSoFar = 0; //log.debug("number of triplets = " + numberTriplets); for (i = 0; i < numberTriplets; i++) { dataIndex = i * 3; b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; b3 = binaryData[dataIndex + 2]; //log.debug("b1= " + b1 +", b2= " + b2 + ", b3= " + b3); l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); byte val3 = ((b3 & SIGN) == 0) ? (byte)(b3 >> 6) : (byte)((b3) >> 6 ^ 0xfc); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; //log.debug( "val2 = " + val2 ); //log.debug( "k4 = " + (k<<4) ); //log.debug( "vak = " + (val2 | (k<<4)) ); encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[(l << 2) | val3]; encodedData[encodedIndex + 3] = lookUpBase64Alphabet[b3 & 0x3f]; encodedIndex += 4; // If we are chunking, let's put a chunk separator down. if (isChunked) { // this assumes that CHUNK_SIZE % 4 == 0 if (encodedIndex == nextSeparatorIndex) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedIndex, CHUNK_SEPARATOR.length); chunksSoFar++; nextSeparatorIndex = (CHUNK_SIZE * (chunksSoFar + 1)) + (chunksSoFar * CHUNK_SEPARATOR.length); encodedIndex += CHUNK_SEPARATOR.length; } } } // form integral number of 6-bit groups dataIndex = i * 3; if (fewerThan24bits == EIGHTBIT) { b1 = binaryData[dataIndex]; k = (byte)(b1 & 0x03); //log.debug("b1=" + b1); //log.debug("b1<<2 = " + (b1>>2) ); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[k << 4]; encodedData[encodedIndex + 2] = PAD; encodedData[encodedIndex + 3] = PAD; } else if (fewerThan24bits == SIXTEENBIT) { b1 = binaryData[dataIndex]; b2 = binaryData[dataIndex + 1]; l = (byte)(b2 & 0x0f); k = (byte)(b1 & 0x03); byte val1 = ((b1 & SIGN) == 0) ? (byte)(b1 >> 2) : (byte)((b1) >> 2 ^ 0xc0); byte val2 = ((b2 & SIGN) == 0) ? (byte)(b2 >> 4) : (byte)((b2) >> 4 ^ 0xf0); encodedData[encodedIndex] = lookUpBase64Alphabet[val1]; encodedData[encodedIndex + 1] = lookUpBase64Alphabet[val2 | (k << 4)]; encodedData[encodedIndex + 2] = lookUpBase64Alphabet[l << 2]; encodedData[encodedIndex + 3] = PAD; } if (isChunked) { // we also add a separator to the end of the final chunk. if (chunksSoFar < nbrChunks) { System.arraycopy( CHUNK_SEPARATOR, 0, encodedData, encodedDataLength - CHUNK_SEPARATOR.length, CHUNK_SEPARATOR.length); } } return encodedData; }	long method	Long method	t	f	t			0	3549	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/mosgi/jmx.agent/src/main/java/org/apache/felix/mosgi/jmx/agent/mx4j/util/Base64Codec.java/#L218-L377	2	347	3549
119	{"response": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public BindStatus(RequestContext requestContext, String path, boolean htmlEscape) throws IllegalStateException { this.requestContext = requestContext; this.path = path; this.htmlEscape = htmlEscape; // determine name of the object and property String beanName; int dotPos = path.indexOf('.'); if (dotPos == -1) { // property not set, only the object itself beanName = path; this.expression = null; } else { beanName = path.substring(0, dotPos); this.expression = path.substring(dotPos + 1); } this.errors = requestContext.getErrors(beanName, false); if (this.errors != null) { // Usual case: A BindingResult is available as request attribute. // Can determine error codes and messages for the given expression. // Can use a custom PropertyEditor, as registered by a form controller. if (this.expression != null) { if ("*".equals(this.expression)) { this.objectErrors = this.errors.getAllErrors(); } else if (this.expression.endsWith("*")) { this.objectErrors = this.errors.getFieldErrors(this.expression); } else { this.objectErrors = this.errors.getFieldErrors(this.expression); this.value = this.errors.getFieldValue(this.expression); this.valueType = this.errors.getFieldType(this.expression); if (this.errors instanceof BindingResult) { this.bindingResult = (BindingResult) this.errors; this.actualValue = this.bindingResult.getRawFieldValue(this.expression); this.editor = this.bindingResult.findEditor(this.expression, null); } else { this.actualValue = this.value; } } } else { this.objectErrors = this.errors.getGlobalErrors(); } this.errorCodes = initErrorCodes(this.objectErrors); } else { // No BindingResult available as request attribute: // Probably forwarded directly to a form view. // Let's do the best we can: extract a plain target if appropriate. Object target = requestContext.getModelObject(beanName); if (target == null) { throw new IllegalStateException("Neither BindingResult nor plain target object for bean name '" + beanName + "' available as request attribute"); } if (this.expression != null && !"*".equals(this.expression) && !this.expression.endsWith("*")) { BeanWrapper bw = PropertyAccessorFactory.forBeanPropertyAccess(target); this.value = bw.getPropertyValue(this.expression); this.valueType = bw.getPropertyType(this.expression); this.actualValue = this.value; } this.errorCodes = new String[0]; this.errorMessages = new String[0]; } if (htmlEscape && this.value instanceof String) { this.value = HtmlUtils.htmlEscape((String) this.value); } }	long method	1. long method	t	t	t			0	1514	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-webmvc/src/main/java/org/springframework/web/servlet/support/BindStatus.java/#L96-L169	1	119	1514
998	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private V1SelfSubjectAccessReview prepareSelfSubjectAccessReview( Operation operation, Resource resource, String resourceName, Scope scope, String namespaceName) { LOGGER.entering(); V1SelfSubjectAccessReviewSpec subjectAccessReviewSpec = new V1SelfSubjectAccessReviewSpec(); subjectAccessReviewSpec.setResourceAttributes( prepareResourceAttributes(operation, resource, resourceName, scope, namespaceName)); V1SelfSubjectAccessReview subjectAccessReview = new V1SelfSubjectAccessReview(); subjectAccessReview.setApiVersion("authorization.k8s.io/v1"); subjectAccessReview.setKind("SelfSubjectAccessReview"); subjectAccessReview.setMetadata(new V1ObjectMeta()); subjectAccessReview.setSpec(subjectAccessReviewSpec); LOGGER.exiting(subjectAccessReview); return subjectAccessReview; }	long method	Long method2 Feature envy	t	f	t			0	9158	https://github.com/oracle/weblogic-kubernetes-operator/blob/1fb059d7e32b9b3514617d54e4dda41ab68e71ea/operator/src/main/java/oracle/kubernetes/operator/helpers/AuthorizationProxy.java/#L239-L258	2	998	9158
2029	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3.Magic strings	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void createButtonGroup( Group grpTop ) { btnAdd = new Button( grpTop, SWT.NONE ); { btnAdd.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Add" ) ); //$NON-NLS-1$ btnAdd.addSelectionListener( this ); } newMarkerEditor = new MarkerEditorComposite( grpTop, createMarker( ), getContext( ), getDefaultMarker( ) ); if ( markerTypeSet != null ) { newMarkerEditor.setSupportedMarkerTypes( markerTypeSet ); } if ( outlineText != null ) { newMarkerEditor.setOutlineText( outlineText ); } btnRemove = new Button( grpTop, SWT.NONE ); { btnRemove.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Remove" ) ); //$NON-NLS-1$ btnRemove.addSelectionListener( this ); } btnUp = new Button( grpTop, SWT.ARROW | SWT.UP ); { btnUp.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Up" ) ); //$NON-NLS-1$ btnUp.addSelectionListener( this ); } btnDown = new Button( grpTop, SWT.ARROW | SWT.DOWN ); { btnDown.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Down" ) ); //$NON-NLS-1$ btnDown.addSelectionListener( this ); } }	long method	Long method, 2Magic numbers, 3Magic strings	t	f	t	2.Magic numbers, 3.Magic strings		0	12807	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/wizard/format/popup/series/LineSeriesMarkerSheet.java/#L402-L440	2	2029	12807
449	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); // define symbols mPointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.Style.SQUARE, 0xFFFF0000, 20); mLineSymbol = new SimpleLineSymbol(SimpleLineSymbol.Style.SOLID, 0xFFFF8800, 4); mFillSymbol = new SimpleFillSymbol(SimpleFillSymbol.Style.CROSS, 0x40FFA9A9, mLineSymbol); // inflate map view from layout mMapView = findViewById(R.id.mapView); // create a map with the Basemap Type topographic ArcGISMap map = new ArcGISMap(Basemap.Type.LIGHT_GRAY_CANVAS, 34.056295, -117.195800, 16); // set the map to be displayed in this view mMapView.setMap(map); mGraphicsOverlay = new GraphicsOverlay(); mMapView.getGraphicsOverlays().add(mGraphicsOverlay); // create a new sketch editor and add it to the map view mSketchEditor = new SketchEditor(); mMapView.setSketchEditor(mSketchEditor); // get buttons from layouts mPointButton = findViewById(R.id.pointButton); mMultiPointButton = findViewById(R.id.pointsButton); mPolylineButton = findViewById(R.id.polylineButton); mPolygonButton = findViewById(R.id.polygonButton); mFreehandLineButton = findViewById(R.id.freehandLineButton); mFreehandPolygonButton = findViewById(R.id.freehandPolygonButton); // add click listeners mPointButton.setOnClickListener(view -> createModePoint()); mMultiPointButton.setOnClickListener(view -> createModeMultipoint()); mPolylineButton.setOnClickListener(view -> createModePolyline()); mPolygonButton.setOnClickListener(view -> createModePolygon()); mFreehandLineButton.setOnClickListener(view -> createModeFreehandLine()); mFreehandPolygonButton.setOnClickListener(view -> createModeFreehandPolygon()); }	long method	Long method	t	f	t			0	4369	https://github.com/Esri/arcgis-runtime-samples-android/blob/22b9a4c99c82a75a128b64703c0c1ffb2f9f5293/java/sketch-editor/src/main/java/com/esri/arcgisruntime/sample/sketcheditor/MainActivity.java/#L44-L83	2	449	4369
5690	{ "message": "YES, I found bad smells", "the bad smells are": [ "Long method", "Long parameter list" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public java.util.concurrent.Future updateStack( final UpdateStackRequest request, final com.oracle.bmc.responses.AsyncHandler handler) { LOG.trace("Called async updateStack"); final UpdateStackRequest interceptedRequest = UpdateStackConverter.interceptRequest(request); final com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = UpdateStackConverter.fromRequest(client, interceptedRequest); final com.google.common.base.Function transformer = UpdateStackConverter.fromResponse(); com.oracle.bmc.responses.AsyncHandler handlerToUse = handler; if (handler != null && this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { handlerToUse = new com.oracle.bmc.util.internal.RefreshAuthTokenWrappingAsyncHandler< UpdateStackRequest, UpdateStackResponse>( (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, handler) { @Override public void retryCall() { final com.oracle.bmc.util.internal.Consumer onSuccess = new com.oracle.bmc.http.internal.SuccessConsumer<>( this, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = new com.oracle.bmc.http.internal.ErrorConsumer<>( this, interceptedRequest); client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }; } final com.oracle.bmc.util.internal.Consumer onSuccess = (handler == null) ? null : new com.oracle.bmc.http.internal.SuccessConsumer<>( handlerToUse, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = (handler == null) ? null : new com.oracle.bmc.http.internal.ErrorConsumer<>( handlerToUse, interceptedRequest); java.util.concurrent.Future responseFuture = client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); if (this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { return new com.oracle.bmc.util.internal.RefreshAuthTokenTransformingFuture< javax.ws.rs.core.Response, UpdateStackResponse>( responseFuture, transformer, (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, new com.google.common.base.Supplier< java.util.concurrent.Future>() { @Override public java.util.concurrent.Future get() { return client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }); } else { return new com.oracle.bmc.util.internal.TransformingFuture<>( responseFuture, transformer); } }	long method	long method, long parameter list	t	t	t	long parameter list		0	12064	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-resourcemanager/src/main/java/com/oracle/bmc/resourcemanager/ResourceManagerAsyncClient.java/#L1366-L1452	2	5690	12064
3548	{ "input_code": "public class Example {\n private int x;\n private int y;\n\n public Example(int x, int y) {\n this.x = x;\n this.y = y;\n }\n\n public int getX() {\n return x;\n }\n\n public int getY() {\n return y;\n }\n\n public int calculateSum() {\n return x + y;\n }\n}", "detected_bad_smells": "YES I found bad smells the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	yes i found bad smells the bad smells are: 1. long method	t	t	t			0	7729	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/ThriftHiveMetastore.java/#L65076-L65111	1	3548	7729
2259	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void addUTF8Region(StructurePointer clazz, String slotName, String additionalInfo, AbstractPointer utf8String) throws CorruptDataException { long offset = utf8String.getAddress() - clazz.getAddress(); /* We do not want to print UTF8 outside of the ROM class. */ long clazzSize = ((J9ROMClassPointer) clazz).romSize().longValue(); if ((offset > 0) && (offset < clazzSize)) { if (utf8String.notNull()) { long UTF8Length = getUTF8Length(J9UTF8Pointer.cast(utf8String)); if (utf8String.getAddress() < firstJ9_ROM_UTF8) { firstJ9_ROM_UTF8 = utf8String.getAddress(); } if ((utf8String.getAddress() + UTF8Length) > lastJ9_ROM_UTF8) { lastJ9_ROM_UTF8 = utf8String.getAddress() + UTF8Length; } classRegions.add(new J9ClassRegion(utf8String, SlotType.J9_ROM_UTF8, slotName, additionalInfo, UTF8Length, offset, true)); } } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	13703	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/debugtools/DDR_VM/src/com/ibm/j9ddr/vm29/tools/ddrinteractive/LinearDumper.java/#L277-L297	2	2259	13703
606	YES I found bad smells The bad smells are: 1. Long method 2. Magic number (128 * 1024)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void doRawReceiveFile(File path, int size, InputStream clientInput) throws IOException { // Create a temp file to receive the payload, so we don't need to worry about // partially-received files. The host takes care of deleting temp files. File tempfile = File.createTempFile( AgentUtil.TEMP_PREFIX + path.getName() + "-", ".tmp", path.getParentFile()); FileOutputStream output = new FileOutputStream(tempfile); // Keep track of our starting time so we can enforce a timeout on slow but steady uploads. long receiveStartMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); // Keep track of the total received size to verify the payload. long totalSize = 0; long totalReceiveTimeoutMs = RECEIVE_TIMEOUT_MS + TOTAL_RECEIVE_TIMEOUT_MS_PER_MB * (size / 1024 / 1024); try { int bufferSize = 128 * 1024; byte[] buf = new byte[bufferSize]; while (true) { long currentTimeMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); if (currentTimeMs - receiveStartMs > totalReceiveTimeoutMs) { throw new RuntimeException("Receive failed to complete before timeout."); } int remaining = size - (int) totalSize; if (remaining == 0) { break; } int want = bufferSize; if (want > remaining) { want = remaining; } int got = clientInput.read(buf, 0, want); if (got == -1) { break; } output.write(buf, 0, got); totalSize += got; } } finally { output.close(); } if (totalSize != size) { throw new RuntimeException("Received only " + totalSize + " of " + size + " bytes."); } boolean success = tempfile.renameTo(path); if (!success) { throw new RuntimeException("Failed to rename temp file."); } }	long method	Long method2 Magic number (	t	f	t			0	6083	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/android/agent/AgentMain.java/#L189-L237	2	606	6083
1636	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static byte[] decodeUrl( byte[] bytes ) throws UrlDecoderException { if ( bytes == null ) { return Strings.EMPTY_BYTES; } ByteArrayOutputStream buffer = new ByteArrayOutputStream(); for ( int i = 0; i < bytes.length; i++ ) { int b = bytes[i]; if ( b == '%' ) { try { int u = Character.digit( ( char ) bytes[++i], 16 ); int l = Character.digit( ( char ) bytes[++i], 16 ); if ( ( u == -1 ) || ( l == -1 ) ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ) ); } buffer.write( ( char ) ( ( u << 4 ) + l ) ); } catch ( ArrayIndexOutOfBoundsException aioobe ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ), aioobe ); } } else { buffer.write( b ); } } return buffer.toByteArray(); }	long method	Long method2 Feature envy	t	f	t			0	11525	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/url/LdapUrl.java/#L1067-L1106	2	1636	11525
709	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private int encode0(byte[] src, int off, int end, byte[] dst) { char[] base64 = isURL ? toBase64URL : toBase64; int sp = off; int slen = (end - off) / 3 * 3; int sl = off + slen; if (linemax > 0 && slen > linemax / 4 * 3) slen = linemax / 4 * 3; int dp = 0; while (sp < sl) { int sl0 = Math.min(sp + slen, sl); for (int sp0 = sp, dp0 = dp ; sp0 < sl0; ) { int bits = (src[sp0++] & 0xff) << 16 | (src[sp0++] & 0xff) << 8 | (src[sp0++] & 0xff); dst[dp0++] = (byte)base64[(bits >>> 18) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 12) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 6) & 0x3f]; dst[dp0++] = (byte)base64[bits & 0x3f]; } int dlen = (sl0 - sp) / 3 * 4; dp += dlen; sp = sl0; if (dlen == linemax && sp < end) { for (byte b : newline){ dst[dp++] = b; } } } if (sp < end) { // 1 or 2 leftover bytes int b0 = src[sp++] & 0xff; dst[dp++] = (byte)base64[b0 >> 2]; if (sp == end) { dst[dp++] = (byte)base64[(b0 << 4) & 0x3f]; if (doPadding) { dst[dp++] = '='; dst[dp++] = '='; } } else { int b1 = src[sp++] & 0xff; dst[dp++] = (byte)base64[(b0 << 4) & 0x3f | (b1 >> 4)]; dst[dp++] = (byte)base64[(b1 << 2) & 0x3f]; if (doPadding) { dst[dp++] = '='; } } } return dp; }	long method	long method	t	t	t			0	6757	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/java/util/Base64.java/#L391-L438	1	709	6757
569	{ "output": "YES I found bad smells", "detected_bad_smells": [ { "1. Long Method": "Long Method" }, { "2. Feature Envy": "Feature Envy" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void onRender(Element parent, int index) { super.onRender(parent, index); setLayout(new FitLayout()); setBorders(false); // init components initToolBar(); initGrid(); ContentPanel devicesBundlesPanel = new ContentPanel(); devicesBundlesPanel.setBorders(false); devicesBundlesPanel.setBodyBorder(true); devicesBundlesPanel.setHeaderVisible(false); devicesBundlesPanel.setLayout(new FitLayout()); devicesBundlesPanel.setScrollMode(Scroll.AUTO); devicesBundlesPanel.setTopComponent(toolBar); devicesBundlesPanel.add(grid); add(devicesBundlesPanel); initialized = true; }	long method	1. long method: long method, 2. feature envy: feature envy	t	t	t	2. feature envy: feature envy		0	5727	https://github.com/eclipse/kapua/blob/11e610c657f7e473b52882833e33a2261bd3d67d/console/module/device/src/main/java/org/eclipse/kapua/app/console/module/device/client/device/bundles/DeviceTabBundles.java/#L111-L132	1	569	5727
1548	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected static boolean typeCheckMethodsWithGenerics(ClassNode receiver, ClassNode[] arguments, MethodNode candidateMethod) { if (isUsingUncheckedGenerics(receiver)) { return true; } if (CLASS_Type.equals(receiver) && receiver.isUsingGenerics() && !candidateMethod.getDeclaringClass().equals(receiver) && !(candidateMethod instanceof ExtensionMethodNode)) { return typeCheckMethodsWithGenerics(receiver.getGenericsTypes()[0].getType(), arguments, candidateMethod); } // both candidate method and receiver have generic information so a check is possible GenericsType[] genericsTypes = candidateMethod.getGenericsTypes(); boolean methodUsesGenerics = (genericsTypes != null && genericsTypes.length > 0); boolean isExtensionMethod = candidateMethod instanceof ExtensionMethodNode; if (isExtensionMethod && methodUsesGenerics) { ClassNode[] dgmArgs = new ClassNode[arguments.length + 1]; dgmArgs[0] = receiver; System.arraycopy(arguments, 0, dgmArgs, 1, arguments.length); MethodNode extensionMethodNode = ((ExtensionMethodNode) candidateMethod).getExtensionMethodNode(); return typeCheckMethodsWithGenerics(extensionMethodNode.getDeclaringClass(), dgmArgs, extensionMethodNode, true); } else { return typeCheckMethodsWithGenerics(receiver, arguments, candidateMethod, false); } }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11258	https://github.com/apache/groovy/blob/00ee0547c00673a93e0843a9d72c8e4293d1efdb/src/main/java/org/codehaus/groovy/transform/stc/StaticTypeCheckingSupport.java/#L1460-L1483	1	1548	11258
1451	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void writeFinalRule(Writer writer, boolean isDst, AnnualTimeZoneRule rule, int fromRawOffset, int fromDSTSavings, long startTime) throws IOException{ DateTimeRule dtrule = toWallTimeRule(rule.getRule(), fromRawOffset, fromDSTSavings); // If the rule's mills in a day is out of range, adjust start time. // Olson tzdata supports 24:00 of a day, but VTIMEZONE does not. // See ticket#7008/#7518 int timeInDay = dtrule.getRuleMillisInDay(); if (timeInDay < 0) { startTime = startTime + (0 - timeInDay); } else if (timeInDay >= Grego.MILLIS_PER_DAY) { startTime = startTime - (timeInDay - (Grego.MILLIS_PER_DAY - 1)); } int toOffset = rule.getRawOffset() + rule.getDSTSavings(); switch (dtrule.getDateRuleType()) { case DateTimeRule.DOM: writeZonePropsByDOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), startTime, MAX_TIME); break; case DateTimeRule.DOW: writeZonePropsByDOW(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleWeekInMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_GEQ_DOM: writeZonePropsByDOW_GEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_LEQ_DOM: writeZonePropsByDOW_LEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; } }	long method	Long method 2 Feature envy	t	f	t			0	11000	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/external/icu/android_icu4j/src/main/java/android/icu/util/VTimeZone.java/#L1661-L1695	2	1451	11000
1435	YES I found bad smells. the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Map tika_parse(InputStream sourceStream, String prefix, Integer maxAttribs, Integer maxAttribLen) throws IOException, TikaException, SAXException { final Metadata metadata = new Metadata(); final TikaInputStream tikaInputStream = TikaInputStream.get(sourceStream); try { autoDetectParser.parse(tikaInputStream, new DefaultHandler(), metadata); } finally { tikaInputStream.close(); } final Map results = new HashMap<>(); final Pattern metadataKeyFilter = metadataKeyFilterRef.get(); final StringBuilder dataBuilder = new StringBuilder(); for (final String key : metadata.names()) { if (metadataKeyFilter != null && !metadataKeyFilter.matcher(key).matches()) { continue; } dataBuilder.setLength(0); if (metadata.isMultiValued(key)) { for (String val : metadata.getValues(key)) { if (dataBuilder.length() > 1) { dataBuilder.append(", "); } if (dataBuilder.length() + val.length() < maxAttribLen) { dataBuilder.append(val); } else { dataBuilder.append("..."); break; } } } else { dataBuilder.append(metadata.get(key)); } if (prefix == null) { results.put(key, dataBuilder.toString().trim()); } else { results.put(prefix + key, dataBuilder.toString().trim()); } // cutoff at max if provided if (maxAttribs != null && results.size() >= maxAttribs) { break; } } return results; }	long method	Long method2 Feature envy	t	f	t			0	10960	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-media-bundle/nifi-media-processors/src/main/java/org/apache/nifi/processors/media/ExtractMediaMetadata.java/#L210-L255	2	1435	10960
998	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private V1SelfSubjectAccessReview prepareSelfSubjectAccessReview( Operation operation, Resource resource, String resourceName, Scope scope, String namespaceName) { LOGGER.entering(); V1SelfSubjectAccessReviewSpec subjectAccessReviewSpec = new V1SelfSubjectAccessReviewSpec(); subjectAccessReviewSpec.setResourceAttributes( prepareResourceAttributes(operation, resource, resourceName, scope, namespaceName)); V1SelfSubjectAccessReview subjectAccessReview = new V1SelfSubjectAccessReview(); subjectAccessReview.setApiVersion("authorization.k8s.io/v1"); subjectAccessReview.setKind("SelfSubjectAccessReview"); subjectAccessReview.setMetadata(new V1ObjectMeta()); subjectAccessReview.setSpec(subjectAccessReviewSpec); LOGGER.exiting(subjectAccessReview); return subjectAccessReview; }	long method	long method	t	t	t			0	9158	https://github.com/oracle/weblogic-kubernetes-operator/blob/1fb059d7e32b9b3514617d54e4dda41ab68e71ea/operator/src/main/java/oracle/kubernetes/operator/helpers/AuthorizationProxy.java/#L239-L258	1	998	9158
1003	{"response": "YES I found bad smells, the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void handleRemainder() { final int remainingRecordCount = incoming.getRecordCount() - remainderIndex; assert this.memoryManager.incomingBatch == incoming; final int recordsToProcess = Math.min(remainingRecordCount, memoryManager.getOutputRowCount()); if (!doAlloc(recordsToProcess)) { outOfMemory = true; return; } logger.trace("handleRemainder: remaining RC {}, toProcess {}, remainder index {}, incoming {}, Project {}", remainingRecordCount, recordsToProcess, remainderIndex, incoming, this); long projectStartTime = System.currentTimeMillis(); final int projRecords = projector.projectRecords(this.incoming, remainderIndex, recordsToProcess, 0); long projectEndTime = System.currentTimeMillis(); logger.trace("handleRemainder: projection: records {}, time {} ms", projRecords,(projectEndTime - projectStartTime)); if (projRecords < remainingRecordCount) { setValueCount(projRecords); this.recordCount = projRecords; remainderIndex += projRecords; } else { setValueCount(remainingRecordCount); hasRemainder = false; remainderIndex = 0; for (final VectorWrapper v : incoming) { v.clear(); } this.recordCount = remainingRecordCount; } // In case of complex writer expression, vectors would be added to batch run-time. // We have to re-build the schema. if (complexWriters != null) { container.buildSchema(SelectionVectorMode.NONE); } memoryManager.updateOutgoingStats(projRecords); RecordBatchStats.logRecordBatchStats(RecordBatchIOType.OUTPUT, this, getRecordBatchStatsContext()); }	long method	1. long method	t	t	t			0	9230	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/project/ProjectRecordBatch.java/#L259-L299	1	1003	9230
589	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean readFont(FontFileReader in, String header, String name) throws IOException { initializeFont(in); /* * Check if TrueType collection, and that the name * exists in the collection */ if (!checkTTC(header, name)) { if (name == null) { throw new IllegalArgumentException( "For TrueType collection you must specify which font " + "to select (-ttcname)"); } else { throw new IOException( "Name does not exist in the TrueType collection: " + name); } } readDirTabs(); readFontHeader(); getNumGlyphs(); if (log.isDebugEnabled()) { log.debug("Number of glyphs in font: " + numberOfGlyphs); } readHorizontalHeader(); readHorizontalMetrics(); initAnsiWidths(); readPostScript(); readOS2(); determineAscDesc(); readName(); boolean pcltFound = readPCLT(); // Read cmap table and fill in ansiwidths boolean valid = readCMAP(); if (!valid) { return false; } // Create cmaps for bfentries createCMaps(); updateBBoxAndOffset(); if (useKerning) { readKerning(); } handleCharacterSpacing(in); guessVerticalMetricsFromGlyphBBox(); return true; }	long method	Long method2 Feature envy	t	f	t			0	5882	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fonts/truetype/OpenFont.java/#L813-L862	2	589	5882
1373	YES I found bad smells, The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static RuleSet parse(final Reader configReader, EventLoggerProvider eventLogger) { RuleSetCreator ruleSetCreator = new RuleSetCreator(); int line = 0; try(Reader fileReader = configReader) { LOGGER.debug("About to load ACL file"); StreamTokenizer tokenizer = new StreamTokenizer(new BufferedReader(fileReader)); tokenizer.resetSyntax(); // setup the tokenizer tokenizer.commentChar(COMMENT); // single line comments tokenizer.eolIsSignificant(true); // return EOL as a token tokenizer.ordinaryChar('='); // equals is a token tokenizer.ordinaryChar(CONTINUATION); // continuation character (when followed by EOL) tokenizer.quoteChar('"'); // double quote tokenizer.quoteChar('\''); // single quote tokenizer.whitespaceChars('\u0000', '\u0020'); // whitespace (to be ignored) TODO properly tokenizer.wordChars('a', 'z'); // unquoted token characters [a-z] tokenizer.wordChars('A', 'Z'); // [A-Z] tokenizer.wordChars('0', '9'); // [0-9] tokenizer.wordChars('_', '_'); // underscore tokenizer.wordChars('-', '-'); // dash tokenizer.wordChars('.', '.'); // dot tokenizer.wordChars('*', '*'); // star tokenizer.wordChars('@', '@'); // at tokenizer.wordChars(':', ':'); // colon // parse the acl file lines Stack stack = new Stack<>(); int current; do { current = tokenizer.nextToken(); line = tokenizer.lineno()-1; switch (current) { case StreamTokenizer.TT_EOF: case StreamTokenizer.TT_EOL: if (stack.isEmpty()) { break; // blank line } // pull out the first token from the bottom of the stack and check arguments exist String first = stack.firstElement(); stack.removeElementAt(0); if (stack.isEmpty()) { throw new IllegalConfigurationException(String.format(NOT_ENOUGH_TOKENS_MSG, line)); } // check for and parse optional initial number for ACL lines Integer number = null; if (first != null && first.matches("\\d+")) { // set the acl number and get the next element number = Integer.valueOf(first); first = stack.firstElement(); stack.removeElementAt(0); } if (ACL.equalsIgnoreCase(first)) { parseAcl(number, stack, ruleSetCreator, line); } else if (number == null) { if("GROUP".equalsIgnoreCase(first)) { throw new IllegalConfigurationException(String.format("GROUP keyword not supported at " + "line %d. Groups should defined " + "via a Group Provider, not in " + "the ACL file.", line)); } else if (CONFIG.equalsIgnoreCase(first)) { parseConfig(stack, ruleSetCreator, line); } else { throw new IllegalConfigurationException(String.format(UNRECOGNISED_INITIAL_MSG, first, line)); } } else { throw new IllegalConfigurationException(String.format(NUMBER_NOT_ALLOWED_MSG, first, line)); } // reset stack, start next line stack.clear(); break; case StreamTokenizer.TT_NUMBER: stack.push(Integer.toString(Double.valueOf(tokenizer.nval).intValue())); break; case StreamTokenizer.TT_WORD: stack.push(tokenizer.sval); // token break; default: if (tokenizer.ttype == CONTINUATION) { int next = tokenizer.nextToken(); line = tokenizer.lineno()-1; if (next == StreamTokenizer.TT_EOL) { break; // continue reading next line } // invalid location for continuation character (add one to line because we ate the EOL) throw new IllegalConfigurationException(String.format(PREMATURE_CONTINUATION_MSG, line + 1)); } else if (tokenizer.ttype == '\'' || tokenizer.ttype == '"') { stack.push(tokenizer.sval); // quoted token } else { stack.push(Character.toString((char) tokenizer.ttype)); // single character } } } while (current != StreamTokenizer.TT_EOF); if (!stack.isEmpty()) { throw new IllegalConfigurationException(String.format(PREMATURE_EOF_MSG, line)); } } catch (IllegalArgumentException iae) { throw new IllegalConfigurationException(String.format(PARSE_TOKEN_FAILED_MSG, line), iae); } catch (IOException ioe) { throw new IllegalConfigurationException(CANNOT_LOAD_MSG, ioe); } return ruleSetCreator.createRuleSet(eventLogger); }	long method	Long method2 Feature envy	t	f	t			0	10803	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-plugins/access-control/src/main/java/org/apache/qpid/server/security/access/config/AclFileParser.java/#L113-L249	2	1373	10803
637	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String getDeviceDisplayName() { String displayName = ""; if (this.properties == null) { return displayName; } String deviceDisplayNameOption = (String) this.properties.get(DEVICE_DISPLAY_NAME); // Use the device name from SystemService. This should be kura.device.name from // the properties file. if ("device-name".equals(deviceDisplayNameOption)) { displayName = this.systemService.getDeviceName(); } // Try to get the device hostname else if ("hostname".equals(deviceDisplayNameOption)) { displayName = this.systemService.getHostname(); } // Return the custom field defined by the user else if ("custom".equals(deviceDisplayNameOption) && this.properties.get(DEVICE_CUSTOM_NAME) instanceof String) { displayName = (String) this.properties.get(DEVICE_CUSTOM_NAME); } // Return empty string to the server else if ("server".equals(deviceDisplayNameOption)) { displayName = ""; } return displayName; }	long method	Long method2 Feature envy	t	f	t			0	6316	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.core.cloud/src/main/java/org/eclipse/kura/core/cloud/CloudServiceOptions.java/#L64-L91	2	637	6316
2376	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void handleChainFromFilter( StreamTypeRecord streamType, MethodInvocationTree observableDotFilter, Tree filterMethodOrLambda, VisitorState state) { MethodInvocationTree outerCallInChain = observableDotFilter; if (outerCallInChain == null) { return; } // Traverse the observable call chain out through any pass-through methods do { outerCallInChain = observableOuterCallInChain.get(outerCallInChain); // Check for a map method (which might be a pass-through method or the first method after a // pass-through chain) MethodInvocationTree mapCallsite = observableOuterCallInChain.get(observableDotFilter); if (observableCallToInnerMethodOrLambda.containsKey(outerCallInChain)) { // Update mapToFilterMap Symbol.MethodSymbol mapMethod = ASTHelpers.getSymbol(outerCallInChain); if (streamType.isMapMethod(mapMethod)) { MaplikeToFilterInstanceRecord record = new MaplikeToFilterInstanceRecord( streamType.getMaplikeMethodRecord(mapMethod), filterMethodOrLambda); mapToFilterMap.put(observableCallToInnerMethodOrLambda.get(outerCallInChain), record); } } } while (outerCallInChain != null && streamType.matchesType(ASTHelpers.getReceiverType(outerCallInChain), state) && streamType.isPassthroughMethod(ASTHelpers.getSymbol(outerCallInChain))); }	long method	long method	t	t	t			0	14325	https://github.com/uber/NullAway/blob/31a184261daaf05f3d353146f44e8e8f12fd7a4d/nullaway/src/main/java/com/uber/nullaway/handlers/RxNullabilityPropagator.java/#L287-L315	1	2376	14325
1956	{ "response": "YES, I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void childEvent(CuratorFramework curatorFramework, PathChildrenCacheEvent event) throws Exception { try { if (isConnected() && (event.getType().equals(PathChildrenCacheEvent.Type.CHILD_ADDED) || event.getType().equals(PathChildrenCacheEvent.Type.CHILD_REMOVED) || event.getType().equals(PathChildrenCacheEvent.Type.CHILD_UPDATED))) { synchronized (this) { Participant participant = leaderLatch.getLeader(); if (isLeader(participant) && !leaderLatch.hasLeadership()) { // in case current instance becomes leader, we want to know who came before it. currentLeader = participant; } } } } catch (InterruptedException e) { log.warn("Oracle leadership watcher has been interrupted unexpectedly"); } }	long method	long method	t	t	t			0	12558	https://github.com/apache/fluo/blob/8e06204d4167651e2d3b5219b8c1397644e6ba6e/modules/core/src/main/java/org/apache/fluo/core/oracle/OracleServer.java/#L448-L467	1	1956	12558
3479	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void startElement(final String uri, final String localName, final String qname, final Attributes attributes) throws SAXException { // Verify and initialize the context stack at root element. if (contextStack.size() == 0) { if (!qname.equals(rootElement)) { throw new SAXConfigurationException( new ConfigurationException.IncorrectElement(rootElement, qname, this.source, locator.getLineNumber()), locator); } String all = attributes.getValue("includeAllClasses"); if ("true".equals(all)) allClasses = true; contextStack.push(qname); return; } else { if (qname.equals("classEntry")) { String path = attributes.getValue("path"); includedClasses.add(path); } else if (qname.equals("namespaceManifestEntry")) { String manifest = attributes.getValue("manifest"); String namespace = attributes.getValue("namespace"); fbArgs.add("-namespace"); fbArgs.add(namespace); String mf = contextPath + "/" + manifest; File f = new File(mf); if (!f.exists()) { mf = contextPath + "/src/" + manifest; } fbArgs.add(mf); fbArgs.add("-include-namespaces"); fbArgs.add(namespace); } } }	long method	long method, data class	t	t	t	data class		0	7119	https://github.com/apache/royale-compiler/blob/fbd9bc3b9e48c80dbd8c1d32a6f83221e314efdd/compiler-common/src/main/java/org/apache/royale/compiler/internal/config/FlashBuilderConfigurator.java/#L468-L510	1	3479	7119
1459	YES, I found bad smells the bad smells are: 1. Long method 2. Commented out code 3. Use of try-catch without any specific exception handling 4. Use of magic numbers/constant values 5. Feature envy (multiple methods making use of metrics from ClusterMetrics class)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	Long method2 Commented out code3 Use of try-catch without any specific exception handling4 Use of magic numbers/constant values5 Feature envy (multiple methods making use of metrics from ClusterMetrics class)	t	f	t			0	11020	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	2	1459	11020
257	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String command() { String flags; if (add) { flags = " +FLAGS "; } else if (subtract) { flags = " -FLAGS "; } else { flags = " FLAGS "; } if (silent) { flags = flags + ".SILENT"; } return "STORE " + msn + flags + this.flags + ")"; }	long method	long method	t	t	t			0	2777	https://github.com/apache/james-project/blob/fa24a096a5853459c3769a34ccc68feb91626bfa/mpt/core/src/main/java/org/apache/james/mpt/helper/ScriptBuilder.java/#L604-L617	1	257	2777
1787	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public final Description matchClass(ClassTree classTree, VisitorState state) { if (!HAS_CONSTRUCTORS_WITH_INJECT.matches(classTree, state)) { return Description.NO_MATCH; } List ctors = ASTHelpers.getConstructors(classTree); List ctorsWithInject = ctors.stream() .filter(c -> hasInjectAnnotation().matches(c, state)) .collect(toImmutableList()); if (ctorsWithInject.size() != 1) { // Injection frameworks don't support multiple @Inject ctors. // There is already an ERROR check for it. // http://errorprone.info/bugpattern/MoreThanOneInjectableConstructor return Description.NO_MATCH; } // collect the assignments in ctor Set variablesAssigned = new HashSet<>(); new TreeScanner() { @Override public Void visitAssignment(AssignmentTree tree, Void unused) { Symbol symbol = ASTHelpers.getSymbol(tree.getVariable()); // check if it is instance field. if (symbol != null && symbol.getKind() == ElementKind.FIELD && !symbol.isStatic()) { variablesAssigned.add(symbol); } return super.visitAssignment(tree, null); } }.scan((JCTree) getOnlyElement(ctorsWithInject), null); SuggestedFix.Builder fix = SuggestedFix.builder(); VariableTree variableTreeFirstMatch = null; for (Tree member : classTree.getMembers()) { if (!(member instanceof VariableTree)) { continue; } VariableTree variableTree = (VariableTree) member; if (!INSTANCE_FIELD_WITH_INJECT.matches(variableTree, state)) { continue; } if (!variablesAssigned.contains(ASTHelpers.getSymbol(variableTree))) { continue; } variableTreeFirstMatch = variableTree; removeInjectAnnotationFromVariable(variableTree, state).ifPresent(fix::merge); } if (variableTreeFirstMatch == null) { return Description.NO_MATCH; } if (fix.isEmpty()) { return describeMatch(variableTreeFirstMatch); } return describeMatch(variableTreeFirstMatch, fix.build()); }	long method	Long method2 Feature envy	t	f	t			0	11981	https://github.com/google/error-prone/blob/61cb540c08ec63faa56dccce00049cff1f8b41ea/core/src/main/java/com/google/errorprone/bugpatterns/inject/InjectOnMemberAndConstructor.java/#L72-L128	2	1787	11981
1352	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void bind(PropertyList pList) throws FOPException { super.bind(pList); alignmentAdjust = pList.get(PR_ALIGNMENT_ADJUST).getLength(); alignmentBaseline = pList.get(PR_ALIGNMENT_BASELINE).getEnum(); baselineShift = pList.get(PR_BASELINE_SHIFT).getLength(); dominantBaseline = pList.get(PR_DOMINANT_BASELINE).getEnum(); leaderAlignment = pList.get(PR_LEADER_ALIGNMENT).getEnum(); leaderLength = pList.get(PR_LEADER_LENGTH).getLengthRange(); leaderPattern = pList.get(PR_LEADER_PATTERN).getEnum(); leaderPatternWidth = pList.get(PR_LEADER_PATTERN_WIDTH).getLength(); // use default rule thickness as a default ruleThickness = getPropertyMakerFor(PR_RULE_THICKNESS).make(pList).getLength(); switch(leaderPattern) { case EN_SPACE: // use Space break; case EN_RULE: // the following properties only apply // for leader-pattern = "rule" ruleStyle = pList.get(PR_RULE_STYLE).getEnum(); // use specified rule thickness to override default (established above) ruleThickness = pList.get(PR_RULE_THICKNESS).getLength(); break; case EN_DOTS: break; case EN_USECONTENT: // use inline layout manager to create inline areas // add the inline parent multiple times until leader full break; default: throw new RuntimeException("Invalid leader pattern: " + leaderPattern); } // letterSpacing = pList.get(PR_LETTER_SPACING); // textShadow = pList.get(PR_TEXT_SHADOW); }	long method	Long method2 Feature envy	t	f	t			0	10761	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fo/flow/Leader.java/#L72-L106	2	1352	10761
2104	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: // System.out.println(" skip rewind!"); // } } assert length == f.prefix; assert termOrd == f.termOrdOrig; } else { f.nextEnt = -1; f.prefix = length; f.state.termBlockOrd = 0; f.termOrdOrig = termOrd; // System.out.println("set termOrdOrig=" + termOrd); f.termOrd = termOrd; f.fpOrig = f.fp = fp; f.lastSubFP = -1; // if (DEBUG) { // final int sav = term.length; // term.length = length; // System.out.println(" push new frame ord=" + f.ord + " fp=" + f.fp + " hasTerms=" + f.hasTerms + " isFloor=" + f.isFloor + " pref=" + brToString(term)); // term.length = sav; // } } return f; } // asserts only private boolean clearEOF() { eof = false; return true; } // asserts only private boolean setEOF() { eof = true; return true;	long method	Long method	t	f	t			0	13168	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/codecs/src/java/org/apache/lucene/codecs/blocktreeords/OrdsSegmentTermsEnum.java/#L174-L208	2	2104	13168
3912	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static DimFilter negate(final DimFilter filter) { if (Filtration.matchEverything().equals(filter)) { return Filtration.matchNothing(); } else if (Filtration.matchNothing().equals(filter)) { return Filtration.matchEverything(); } else if (filter instanceof NotDimFilter) { return ((NotDimFilter) filter).getField(); } else if (filter instanceof BoundDimFilter) { final BoundDimFilter negated = Bounds.not((BoundDimFilter) filter); return negated != null ? negated : new NotDimFilter(filter); } else { return new NotDimFilter(filter); } }	long method	long method	t	t	t			0	10243	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/sql/src/main/java/org/apache/druid/sql/calcite/filtration/CombineAndSimplifyBounds.java/#L221-L235	1	3912	10243
173	{ "response": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Data Class"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static List getUserDetails(String query) { List details = new ArrayList(); if (query != null && !query.isEmpty()) { StringTokenizer allParams = new StringTokenizer(query, "&"); while (allParams.hasMoreTokens()) { String param = allParams.nextToken(); details.add(new BasicNameValuePair(param.substring(0, param.indexOf("=")), param.substring(param.indexOf("=") + 1))); } } return details; }	long method	long method, data class	t	t	t	data class		0	2041	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/utils/src/main/java/com/cloud/utils/UriUtils.java/#L198-L210	1	173	2041
1420	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String getColumnText(Object element, int columnIndex) { if (element instanceof HadoopServer) { HadoopServer server = (HadoopServer) element; switch (columnIndex) { case 0: return server.getLocationName(); case 1: return server.getMasterHostName().toString(); case 2: return server.getState(); case 3: return ""; } } else if (element instanceof HadoopJob) { HadoopJob job = (HadoopJob) element; switch (columnIndex) { case 0: return job.getJobID().toString(); case 1: return ""; case 2: return job.getState().toString(); case 3: return job.getStatus(); } } else if (element instanceof JarModule) { JarModule jar = (JarModule) element; switch (columnIndex) { case 0: return jar.toString(); case 1: return "Publishing jar to server.."; case 2: return ""; } } return null; }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	10928	https://github.com/apache/hadoop-mapreduce/blob/307cb5b316e10defdbbc228d8cdcdb627191ea15/src/contrib/eclipse-plugin/src/java/org/apache/hadoop/eclipse/view/servers/ServerView.java/#L369-L410	2	1420	10928
1078	{"response": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public AsyncContextEvent(Context context,AsyncContextState asyncContext, HttpChannelState state, Request baseRequest, ServletRequest request, ServletResponse response) { super(null,request,response,null); _context=context; _asyncContext=asyncContext; _state=state; // If we haven't been async dispatched before if (baseRequest.getAttribute(AsyncContext.ASYNC_REQUEST_URI)==null) { // We are setting these attributes during startAsync, when the spec implies that // they are only available after a call to AsyncContext.dispatch(...); // have we been forwarded before? String uri=(String)baseRequest.getAttribute(RequestDispatcher.FORWARD_REQUEST_URI); if (uri!=null) { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,uri); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_CONTEXT_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getAttribute(RequestDispatcher.FORWARD_SERVLET_PATH)); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getAttribute(RequestDispatcher.FORWARD_PATH_INFO)); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getAttribute(RequestDispatcher.FORWARD_QUERY_STRING)); } else { baseRequest.setAttribute(AsyncContext.ASYNC_REQUEST_URI,baseRequest.getRequestURI()); baseRequest.setAttribute(AsyncContext.ASYNC_CONTEXT_PATH,baseRequest.getContextPath()); baseRequest.setAttribute(AsyncContext.ASYNC_SERVLET_PATH,baseRequest.getServletPath()); baseRequest.setAttribute(AsyncContext.ASYNC_PATH_INFO,baseRequest.getPathInfo()); baseRequest.setAttribute(AsyncContext.ASYNC_QUERY_STRING,baseRequest.getQueryString()); } } }	long method	1. long method	t	t	t			0	9647	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-server/src/main/java/org/eclipse/jetty/server/AsyncContextEvent.java/#L42-L74	1	1078	9647
5531	{ "message": "YES I found bad smells", "bad smells": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List fromProps(Map m) { List props = new ArrayList(); for (Map.Entry entry : m.entrySet()) { String key = entry.getKey(); Object val = entry.getValue(); PropertyType propEl = new PropertyType(); propEl.setName(key); ObjectFactory factory = new ObjectFactory(); if (val.getClass().isArray()) { ArrayType arrayEl = new ArrayType(); propEl.getContent().add(factory.createArray(arrayEl)); for (Object o : normalizeArray(val)) { setValueType(propEl, o); ValueType valueType = new ValueType(); valueType.getContent().add(o.toString()); arrayEl.getValue().add(valueType); } } else if (val instanceof List) { ArrayType listEl = new ArrayType(); propEl.getContent().add(factory.createList(listEl)); handleCollectionValue((Collection) val, propEl, listEl); } else if (val instanceof Set) { ArrayType setEl = new ArrayType(); propEl.getContent().add(factory.createSet(setEl)); handleCollectionValue((Collection) val, propEl, setEl); } else if (val instanceof String || val instanceof Character || val instanceof Boolean || val instanceof Byte) { setValueType(propEl, val); propEl.setValue(val.toString()); } else if (val instanceof Long || val instanceof Double || val instanceof Float || val instanceof Integer || val instanceof Short) { // various numbers.. maybe "val instanceof Number"? setValueType(propEl, val); propEl.setValue(val.toString()); } else { // Don't add this property as the value type is not supported continue; } props.add(propEl); } return props; }	long method	long method, feature envy	t	t	t	feature envy		0	5816	https://github.com/apache/aries-rsa/blob/f5aa5ca62c3948d7e471c3a839089180650cf4f2/discovery/local/src/main/java/org/apache/aries/rsa/discovery/endpoint/PropertiesMapper.java/#L233-L280	2	5531	5816
1682	{"message": "YES I found bad smells", "bad smells are": ["Data Class", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	Data Class, Long Method	t	f	t	Data Class		0	11682	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	1	1682	11682
1278	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Multiple if statements in a row 4. Hardcoded values for class types, which could lead to maintenance issues if types change in the future 5. Throwing general exception instead of specific exceptions for each case, which could make it harder to handle errors	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static Class stringToClass(String klass) throws FrontendException { if ("string".equalsIgnoreCase(klass)) { return String.class; } else if ("int".equalsIgnoreCase(klass)) { return Integer.TYPE; } else if ("double".equalsIgnoreCase(klass)) { return Double.TYPE; } else if ("float".equalsIgnoreCase(klass)){ return Float.TYPE; } else if ("long".equalsIgnoreCase(klass)) { return Long.TYPE; } else if ("double[]".equalsIgnoreCase(klass)) { return DOUBLE_ARRAY_CLASS; } else if ("int[]".equalsIgnoreCase(klass)) { return INT_ARRAY_CLASS; } else if ("long[]".equalsIgnoreCase(klass)) { return LONG_ARRAY_CLASS; } else if ("float[]".equalsIgnoreCase(klass)) { return FLOAT_ARRAY_CLASS; } else if ("string[]".equalsIgnoreCase(klass)) { return STRING_ARRAY_CLASS; } else { throw new FrontendException("unable to find matching class for " + klass); } }	long method	Long method2 Feature envy3 Multiple if statements in a row4 Hardcoded values for class types, which could lead to maintenance issues if types change in the future5 Throwing general exception instead of specific exceptions for each case, which could make it harder to handle errors	t	f	t	which could lead to maintenance issues if types change in the future5. Throwing general exception instead of specific exceptions for each case, which could make it harder to handle errors		0	10592	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/builtin/Invoker.java/#L113-L138	2	1278	10592
4359	{"response": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Future monitorUntil(final ActiveAnnotationContext ctx, final CancelIndicator cancelIndicator, final Function0 isFinished) { Future _xblockexpression = null; { final Runnable _function = () -> { try { while ((!(isFinished.apply()).booleanValue())) { { boolean _isCanceled = cancelIndicator.isCanceled(); if (_isCanceled) { CompilationUnitImpl _compilationUnit = ctx.getCompilationUnit(); _compilationUnit.setCanceled(true); return; } Thread.sleep(100); } } } catch (Throwable _e) { throw Exceptions.sneakyThrow(_e); } }; final Runnable r = _function; Future _xtrycatchfinallyexpression = null; try { _xtrycatchfinallyexpression = this.pool.submit(r); } catch (final Throwable _t) { if (_t instanceof RejectedExecutionException) { final RejectedExecutionException e = (RejectedExecutionException)_t; AnnotationProcessor.CancellationObserver.log.debug(e.getMessage(), e); new Thread(r).start(); } else { throw Exceptions.sneakyThrow(_t); } } _xblockexpression = _xtrycatchfinallyexpression; } return _xblockexpression; }	long method	1. long method	t	t	t			0	11504	https://github.com/eclipse/xtext-xtend/blob/20500a324127e3ee73cb793a13430ee140246fa7/org.eclipse.xtend.core/xtend-gen/org/eclipse/xtend/core/macro/AnnotationProcessor.java/#L69-L105	1	4359	11504
287	{"response": "YES, I found bad smells", "detected_bad_smells": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public CreateBudgetDetails build() { CreateBudgetDetails __instance__ = new CreateBudgetDetails( compartmentId, targetCompartmentId, displayName, description, amount, resetPeriod, freeformTags, definedTags); __instance__.__explicitlySet__.addAll(__explicitlySet__); return __instance__; }	long method	1. long method	t	t	t			0	3060	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-budget/src/main/java/com/oracle/bmc/budget/model/CreateBudgetDetails.java/#L103-L116	1	287	3060
1345	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean matchesAllInstances(SequenceType testST) { Quantifier stq = sequenceType.getQuantifier(); ItemType it = sequenceType.getItemType(); if (stq.isSubQuantifier(testST.getQuantifier())) { if (it instanceof AnyItemType) { return true; } else if (it.isAtomicType() && testST.getItemType().isAtomicType()) { AtomicType ait = (AtomicType) it; AtomicType testIT = (AtomicType) testST.getItemType(); if (BuiltinTypeRegistry.INSTANCE.isBuiltinTypeId(testIT.getTypeId())) { SchemaType vType = BuiltinTypeRegistry.INSTANCE.getSchemaTypeById(testIT.getTypeId()); while (vType != null && vType.getTypeId() != ait.getTypeId()) { vType = vType.getBaseType(); } return vType != null; } } else if (it instanceof NodeType && testST.getItemType() instanceof NodeType) { NodeType nt = (NodeType) it; NodeKind kind = nt.getNodeKind(); NodeType testNT = (NodeType) testST.getItemType(); NodeKind testKind = testNT.getNodeKind(); if (kind == NodeKind.ANY || kind == testKind) { return true; } } return false; } return false; }	long method	long method, feature envy	t	t	t	feature envy		0	10747	https://github.com/apache/vxquery/blob/5d1175d2cb04a54ba751295f2ac67daec38bf723/vxquery-core/src/main/java/org/apache/vxquery/runtime/functions/type/SequenceTypeMatcher.java/#L156-L184	1	1345	10747
1227	YES I found bad smells the bad smells are: 1. Commented out code 2. Long method 3. Feature envy 4. Inconsistent indentation 5. Non-descriptive variable names 6. Nested if statements 7. Lack of error handling for exceptions 8. Multiple responsibilities in one method (parsing, handling exceptions, building results map)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Map tika_parse(InputStream sourceStream, String prefix, Integer maxAttribs, Integer maxAttribLen) throws IOException, TikaException, SAXException { final Metadata metadata = new Metadata(); final TikaInputStream tikaInputStream = TikaInputStream.get(sourceStream); try { autoDetectParser.parse(tikaInputStream, new DefaultHandler(), metadata); } finally { tikaInputStream.close(); } final Map results = new HashMap<>(); final Pattern metadataKeyFilter = metadataKeyFilterRef.get(); final StringBuilder dataBuilder = new StringBuilder(); for (final String key : metadata.names()) { if (metadataKeyFilter != null && !metadataKeyFilter.matcher(key).matches()) { continue; } dataBuilder.setLength(0); if (metadata.isMultiValued(key)) { for (String val : metadata.getValues(key)) { if (dataBuilder.length() > 1) { dataBuilder.append(", "); } if (dataBuilder.length() + val.length() < maxAttribLen) { dataBuilder.append(val); } else { dataBuilder.append("..."); break; } } } else { dataBuilder.append(metadata.get(key)); } if (prefix == null) { results.put(key, dataBuilder.toString().trim()); } else { results.put(prefix + key, dataBuilder.toString().trim()); } // cutoff at max if provided if (maxAttribs != null && results.size() >= maxAttribs) { break; } } return results; }	long method	Commented out code2 Long method3 Feature envy4 Inconsistent indentation5 Non-descriptive variable names6 Nested if statements7 Lack of error handling for exceptions8 Multiple responsibilities in one method (parsing, handling exceptions, building results map)	t	f	t	handling exceptions, building results map)		0	10353	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-media-bundle/nifi-media-processors/src/main/java/org/apache/nifi/processors/media/ExtractMediaMetadata.java/#L210-L255	2	1227	10353
5676	YES I found bad smells the bad smells are: 1. Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void finishRestore(final Timer.Context context, Map> commitToStats, List commitsToRollback, final String startRestoreTime, final String restoreToInstant) throws IOException { HoodieTable table = HoodieTable.getHoodieTable( new HoodieTableMetaClient(jsc.hadoopConfiguration(), config.getBasePath(), true), config, jsc); Optional durationInMs = Optional.empty(); Long numFilesDeleted = 0L; for (Map.Entry> commitToStat : commitToStats.entrySet()) { List stats = commitToStat.getValue(); numFilesDeleted = stats.stream().mapToLong(stat -> stat.getSuccessDeleteFiles().size()) .sum(); } if (context != null) { durationInMs = Optional.of(metrics.getDurationInMs(context.stop())); metrics.updateRollbackMetrics(durationInMs.get(), numFilesDeleted); } HoodieRestoreMetadata restoreMetadata = AvroUtils .convertRestoreMetadata(startRestoreTime, durationInMs, commitsToRollback, commitToStats); table.getActiveTimeline().saveAsComplete( new HoodieInstant(true, HoodieTimeline.RESTORE_ACTION, startRestoreTime), AvroUtils.serializeRestoreMetadata(restoreMetadata)); logger.info("Commits " + commitsToRollback + " rollback is complete. Restored dataset to " + restoreToInstant); if (!table.getActiveTimeline().getCleanerTimeline().empty()) { logger.info("Cleaning up older restore meta files"); // Cleanup of older cleaner meta files // TODO - make the commit archival generic and archive rollback metadata FSUtils.deleteOlderRollbackMetaFiles(fs, table.getMetaClient().getMetaPath(), table.getActiveTimeline().getRestoreTimeline().getInstants()); } }	long method	Long method	t	f	t			0	11770	https://github.com/apache/incubator-hudi/blob/194d904c99ebd013af55eac7509e3e79193dce77/hoodie-client/src/main/java/com/uber/hoodie/HoodieWriteClient.java/#L928-L957	1	5676	11770
2117	YES I found bad smells the bad smells are: 1. Feature envy 2. Long method 3. Comments 4. Magic numbers 5. Use of raw types	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void configure(Context context) { this.headerName = context.getString(CONFIG_MULTIPLEX_HEADER_NAME, DEFAULT_MULTIPLEX_HEADER); Map channelNameMap = getChannelNameMap(); defaultChannels = getChannelListFromNames( context.getString(CONFIG_DEFAULT_CHANNEL), channelNameMap); Map mapConfig = context.getSubProperties(CONFIG_PREFIX_MAPPING); channelMapping = new HashMap>(); for (String headerValue : mapConfig.keySet()) { List configuredChannels = getChannelListFromNames( mapConfig.get(headerValue), channelNameMap); //This should not go to default channel(s) //because this seems to be a bad way to configure. if (configuredChannels.size() == 0) { throw new FlumeException("No channel configured for when " + "header value is: " + headerValue); } if (channelMapping.put(headerValue, configuredChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } //If no mapping is configured, it is ok. //All events will go to the default channel(s). Map optionalChannelsMapping = context.getSubProperties(CONFIG_PREFIX_OPTIONAL + "."); optionalChannels = new HashMap>(); for (String hdr : optionalChannelsMapping.keySet()) { List confChannels = getChannelListFromNames( optionalChannelsMapping.get(hdr), channelNameMap); if (confChannels.isEmpty()) { confChannels = EMPTY_LIST; } //Remove channels from optional channels, which are already //configured to be required channels. List reqdChannels = channelMapping.get(hdr); //Check if there are required channels, else defaults to default channels if (reqdChannels == null || reqdChannels.isEmpty()) { reqdChannels = defaultChannels; } for (Channel c : reqdChannels) { if (confChannels.contains(c)) { confChannels.remove(c); } } if (optionalChannels.put(hdr, confChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } }	long method	Feature envy 2 Long method 3 Comments 4 Magic numbers 5 Use of raw types	t	f	t			0	13197	https://github.com/apache/flume/blob/7d3396f26dc1541e9d2a540d50d15a15c38acb74/flume-ng-core/src/main/java/org/apache/flume/channel/MultiplexingChannelSelector.java/#L83-L145	2	2117	13197
1956	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void childEvent(CuratorFramework curatorFramework, PathChildrenCacheEvent event) throws Exception { try { if (isConnected() && (event.getType().equals(PathChildrenCacheEvent.Type.CHILD_ADDED) || event.getType().equals(PathChildrenCacheEvent.Type.CHILD_REMOVED) || event.getType().equals(PathChildrenCacheEvent.Type.CHILD_UPDATED))) { synchronized (this) { Participant participant = leaderLatch.getLeader(); if (isLeader(participant) && !leaderLatch.hasLeadership()) { // in case current instance becomes leader, we want to know who came before it. currentLeader = participant; } } } } catch (InterruptedException e) { log.warn("Oracle leadership watcher has been interrupted unexpectedly"); } }	long method	Long method2 Feature envy	t	f	t			0	12558	https://github.com/apache/fluo/blob/8e06204d4167651e2d3b5219b8c1397644e6ba6e/modules/core/src/main/java/org/apache/fluo/core/oracle/OracleServer.java/#L448-L467	2	1956	12558
5773	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void configureInputJobProperties(TableDesc tableDesc, Map jobProperties) { try { Map tableProperties = tableDesc.getJobProperties(); String jobInfoProperty = tableProperties.get(HCatConstants.HCAT_KEY_JOB_INFO); if (jobInfoProperty != null) { LinkedList inputJobInfos = (LinkedList) HCatUtil.deserialize( jobInfoProperty); if (inputJobInfos == null || inputJobInfos.isEmpty()) { throw new IOException("No InputJobInfo was set in job config"); } InputJobInfo inputJobInfo = inputJobInfos.getLast(); HCatTableInfo tableInfo = inputJobInfo.getTableInfo(); HCatSchema dataColumns = tableInfo.getDataColumns(); List dataFields = dataColumns.getFields(); StringBuilder columnNamesSb = new StringBuilder(); StringBuilder typeNamesSb = new StringBuilder(); for (HCatFieldSchema dataField : dataFields) { if (columnNamesSb.length() > 0) { columnNamesSb.append(","); typeNamesSb.append(":"); } columnNamesSb.append(dataField.getName()); typeNamesSb.append(dataField.getTypeString()); } jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS, columnNamesSb.toString()); jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS_TYPES, typeNamesSb.toString()); boolean isTransactionalTable = AcidUtils.isTablePropertyTransactional(tableProperties); AcidUtils.AcidOperationalProperties acidOperationalProperties = AcidUtils.getAcidOperationalProperties(tableProperties); AcidUtils.setAcidOperationalProperties( jobProperties, isTransactionalTable, acidOperationalProperties); } } catch (IOException e) { throw new IllegalStateException("Failed to set output path", e); } }	long method	Long method2 Feature envy	t	f	t			0	14885	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/hcatalog/core/src/main/java/org/apache/hive/hcatalog/mapreduce/FosterStorageHandler.java/#L107-L150	1	5773	14885
5535	YES I found bad smells the bad smells are: Data class, Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void setOptionalAttribute(BeanDefinitionBuilder builder, Map providedProperties, String propertyPrefix, String attributeValue, String attributeName) { String propertyKey; if ("username".equals(attributeName)) { String userKey = (propertyPrefix != null ? propertyPrefix + "user" : "user"); if (providedProperties.containsKey(userKey)) { propertyKey = userKey; } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeName : attributeName); } } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeToPropertyMap.get(attributeName) : attributeToPropertyMap.get(attributeName)); } if (StringUtils.hasText(attributeValue)) { if (logger.isDebugEnabled()) { if ("password".equals(attributeName)) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value ******"); } else { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value " + attributeValue); } } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), attributeValue); } else if (providedProperties.containsKey(propertyKey)) { if (logger.isDebugEnabled()) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with property value " + ("password".equals(attributeName) ? "******" : providedProperties.get(propertyKey))); } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), providedProperties.get(propertyKey)); } removeProvidedProperty(providedProperties, propertyKey); }	long method	Data class, Long method	t	f	t	Data class		0	6189	https://github.com/spring-projects/spring-data-jdbc-ext/blob/9f19335f6f776ad36158cfaa0f5aad64333ce988/spring-data-oracle/src/main/java/org/springframework/data/jdbc/config/oracle/PoolingDataSourceBeanDefinitionParser.java/#L341-L388	1	5535	6189
1687	{ "message": "YES I found bad smells", "the bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private LdapComparator classLoadComparator( SchemaManager schemaManager, String oid, String className, Attribute byteCode ) throws LdapException { // Try to class load the comparator LdapComparator comparator; Class clazz; String byteCodeStr = StringConstants.EMPTY; if ( byteCode == null ) { try { clazz = Class.forName( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16056_CANNOT_FIND_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16057_CANNOT_FIND_CMP_CLASS, cnfe.getMessage() ) ); } } else { classLoader.setAttribute( byteCode ); try { clazz = classLoader.loadClass( className ); } catch ( ClassNotFoundException cnfe ) { LOG.error( I18n.err( I18n.ERR_16058_CANNOT_LOAD_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16059_CANNOT_LOAD_CMP_CLASS, cnfe.getMessage() ) ); } byteCodeStr = new String( Base64.encode( byteCode.getBytes() ) ); } // Create the comparator instance. Either we have a no argument constructor, // or we have one which takes an OID. Lets try the one with an OID argument first try { Constructor constructor = clazz.getConstructor( new Class[] { String.class } ); try { comparator = ( LdapComparator ) constructor.newInstance( oid ); } catch ( InvocationTargetException ite ) { LOG.error( I18n.err( I18n.ERR_16060_CANNOT_INVOKE_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16061_CANNOT_INVOKE_CMP_CLASS, ite.getMessage() ) ); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException ie ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, ie.getMessage() ) ); } } catch ( NoSuchMethodException nsme ) { // Ok, let's try with the constructor without argument. // In this case, we will have to check that the OID is the same than // the one we got in the Comparator entry try { clazz.getConstructor(); } catch ( NoSuchMethodException nsme2 ) { LOG.error( I18n.err( I18n.ERR_16066_CANNOT_FIND_CMP_CTOR_METH_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16067_CANNOT_FIND_CMP_CTOR_METH, nsme2.getMessage() ) ); } try { comparator = ( LdapComparator ) clazz.newInstance(); } catch ( InstantiationException ie ) { LOG.error( I18n.err( I18n.ERR_16062_CANNOT_INST_CMP_CTOR_CLASS, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16063_CANNOT_INST_CMP_CLASS, ie.getMessage() ) ); } catch ( IllegalAccessException iae ) { LOG.error( I18n.err( I18n.ERR_16064_CANNOT_ACCESS_CMP_CTOR, className ) ); throw new LdapSchemaException( I18n.err( I18n.ERR_16065_CANNOT_ACCESS_CMP_CLASS, iae.getMessage() ) ); } if ( !comparator.getOid().equals( oid ) ) { String msg = I18n.err( I18n.ERR_16021_DIFFERENT_COMPARATOR_OID, oid, comparator.getOid() ); throw new LdapInvalidAttributeValueException( ResultCodeEnum.UNWILLING_TO_PERFORM, msg, nsme ); } } // Update the loadable fields comparator.setBytecode( byteCodeStr ); comparator.setFqcn( className ); // Inject the SchemaManager for the comparator who needs it comparator.setSchemaManager( schemaManager ); return comparator; }	long method	Long Method	t	f	t			0	11691	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/schema/data/src/main/java/org/apache/directory/api/ldap/schema/loader/SchemaEntityFactory.java/#L514-L623	1	1687	11691
4239	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, WMTrigger struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RESOURCE_PLAN_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.resourcePlanName = iprot.readString(); struct.setResourcePlanNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // TRIGGER_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerName = iprot.readString(); struct.setTriggerNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // TRIGGER_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerExpression = iprot.readString(); struct.setTriggerExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // ACTION_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.actionExpression = iprot.readString(); struct.setActionExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 5: // IS_IN_UNMANAGED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.isInUnmanaged = iprot.readBool(); struct.setIsInUnmanagedIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 6: // NS if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.ns = iprot.readString(); struct.setNsIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); struct.validate(); }	long method	Long method2 Feature envy	t	f	t			0	11159	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/WMTrigger.java/#L733-L798	2	4239	11159
1785	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String toString() { StringBuilder sb = new StringBuilder(); sb.append(Constants.INDENT); sb.append("kdf: 0x"); sb.append(Functions.toFullHexString(kdf)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedDataLen: "); sb.append(pSharedData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedData: "); sb.append(Functions.toHexString(pSharedData)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicDataLen: "); sb.append(pPublicData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicData: "); sb.append(Functions.toHexString(pPublicData)); //buffer.append(Constants.NEWLINE); return sb.toString(); }	long method	Long Method	t	f	t			0	11978	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/wrapper/CK_ECDH1_DERIVE_PARAMS.java/#L107-L136	1	1785	11978
1737	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected VectorizedRowBatch setupOverflowBatch() throws HiveException { int initialColumnCount = vContext.firstOutputColumnIndex(); VectorizedRowBatch overflowBatch; int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; overflowBatch = new VectorizedRowBatch(totalNumColumns); // First, just allocate just the output columns we will be using. for (int i = 0; i < outputProjectionColumnMap.length; i++) { int outputColumn = outputProjectionColumnMap[i]; String typeName = outputTypeInfos[i].getTypeName(); allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); } // Now, add any scratch columns needed for children operators. int outputColumn = initialColumnCount; for (String typeName : vOutContext.getScratchColumnTypeNames()) { allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); } overflowBatch.projectedColumns = outputProjectionColumnMap; overflowBatch.projectionSize = outputProjectionColumnMap.length; overflowBatch.reset(); return overflowBatch; }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11831	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java/#L241-L268	1	1737	11831
762	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static int reconfigureNetworking() { // This uses values from the property settings if (Sage.getBoolean(NET_CONFIG_WIRED, true)) { // Bring down the wireless interface if it's there bringDownWireless(); setupNetworking(Sage.get("linux/wired_network_port", "eth0")); } else { // Bring down the wired interface if it's there if (Sage.getBoolean("linux/disable_wired_when_wireless_is_enabled", false)) bringDownWired(); // Be sure the wired interface is loaded (it may need to be before it is configured) IOUtils.exec2("ifconfig " + Sage.get("linux/wireless_network_port", "eth1") + " up"); // Setup the wireless networking properties before we try to connect to the network or it won't work IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " essid " + Sage.get(NET_CONFIG_SSID, "any")); String crypto = Sage.get(NET_CONFIG_ENCRYPTION, "WPA"); if ("None".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key off"); } else { // Check if the key is all hex String key = Sage.get(NET_CONFIG_ENCRYPTION_KEY, ""); boolean hexKey = true; for (int i = 0; i < key.length(); i++) { if (Character.digit(key.charAt(i), 16) < 0) { hexKey = false; break; } } if ("WEP".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key on"); if (hexKey) IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key " + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); else IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key s:" + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); } else // WPA { // NOT FINISHED YET, we'll need to setup a configuration file for wpa_supplicant and then run it } } setupNetworking(Sage.get("linux/wireless_network_port", "eth1")); } return 0; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	7113	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/LinuxUtils.java/#L51-L108	2	762	7113
318	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: // count the number of '/'s, to determine number of segments int index = -1; int pathlen = path.length(); int size = 0; if (pathlen > 0 && path.charAt(0) != '/') { size++; } while ((index = path.indexOf('/', index + 1)) != -1) { if (index + 1 < pathlen && path.charAt(index + 1) != '/') { size++; } } String[] seglist = new String[size]; boolean[] include = new boolean[size]; // break the path into segments and store in the list int current = 0; int index2 = 0; index = (pathlen > 0 && path.charAt(0) == '/') ? 1 : 0; while ((index2 = path.indexOf('/', index + 1)) != -1) { seglist[current++] = path.substring(index, index2); index = index2 + 1; } // if current==size, then the last character was a slash // and there are no more segments if (current < size) { seglist[current] = path.substring(index); } // determine which segments get included in the normalized path for (int i = 0; i < size; i++) { include[i] = true; if (seglist[i].equals("..")) { //$NON-NLS-1$ int remove = i - 1; // search back to find a segment to remove, if possible while (remove > -1 && !include[remove]) { remove--; } // if we find a segment to remove, remove it and the ".." // segment if (remove > -1 && !seglist[remove].equals("..")) { //$NON-NLS-1$ include[remove] = false; include[i] = false; } } else if (seglist[i].equals(".")) { //$NON-NLS-1$ include[i] = false; } } // put the path back together StringBuilder newpath = new StringBuilder(); if (path.startsWith("/")) { //$NON-NLS-1$ newpath.append('/'); } for (int i = 0; i < seglist.length; i++) { if (include[i]) { newpath.append(seglist[i]); newpath.append('/'); } } // if we used at least one segment and the path previously ended with // a slash and the last segment is still used, then delete the extra // trailing '/' if (!path.endsWith("/") && seglist.length > 0 //$NON-NLS-1$ && include[seglist.length - 1]) { newpath.deleteCharAt(newpath.length() - 1); } String result = newpath.toString(); // check for a ':' in the first segment if one exists, // prepend "./" to normalize index = result.indexOf(':'); index2 = result.indexOf('/'); if (index != -1 && (index < index2 || index2 == -1)) { newpath.insert(0, "./"); //$NON-NLS-1$ result = newpath.toString(); } return result; }	long method	long method	t	t	t			0	3262	https://github.com/apache/shindig/blob/8f3c3d5c77f5324bad56a5a62da28657fe9112a0/java/common/src/main/java/org/apache/shindig/common/uri/Uri.java/#L205-L289	1	318	3262
5759	YES, I found bad smells The bad smells are: 1. Long Method 2. Feature Envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	Long Method2 Feature Envy	t	f	t			0	14515	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	1	5759	14515
469	{ "response": "YES I found bad smells", "detected_bad_smells": [ { "1.": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	1.: long method	t	t	t			0	4555	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	1	469	4555
261	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void crawl(File dirRoot) { LOG.info(String.format("Start crawling dir: %s", dirRoot)); // Reset ingest status.a ingestStatus.clear(); // Load actions. loadAndValidateActions(); // Create Ingester. setupIngester(); // Verify valid crawl directory. if (dirRoot == null || !dirRoot.exists()) { throw new IllegalArgumentException("dir root is null or non existant!"); } // Start crawling. Stack stack = new Stack(); stack.push(dirRoot.isDirectory() ? dirRoot : dirRoot.getParentFile()); while (!stack.isEmpty()) { File dir = (File) stack.pop(); LOG.log(Level.INFO, "Crawling " + dir); File[] productFiles; productFiles = isCrawlForDirs() ? dir.listFiles(DIR_FILTER) : dir.listFiles(FILE_FILTER); if(productFiles!=null) { for (File productFile : productFiles) { ingestStatus.add(handleFile(productFile)); } } if (!isNoRecur()) { File[] subdirs = dir.listFiles(DIR_FILTER); if (subdirs != null) { for (File subdir : subdirs) { stack.push(subdir); } } } } LOG.info(String.format("Finished crawling dir: %s", dirRoot)); }	long method	long method, data class	t	t	t	data class		0	2843	https://github.com/apache/oodt/blob/9f2a500b9d061c31ccd71fc66c4d6e40f0c25acb/crawler/src/main/java/org/apache/oodt/cas/crawl/ProductCrawler.java/#L79-L124	1	261	2843
495	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Provider createProvider(URI remoteURI, ProviderFutureFactory futureFactory) throws Exception { CompositeData composite = URISupport.parseComposite(remoteURI); Map options = composite.getParameters(); Map filtered = PropertyUtil.filterProperties(options, FAILOVER_OPTION_PREFIX); Map nested = PropertyUtil.filterProperties(filtered, FAILOVER_NESTED_OPTION_PREFIX_ADDON); Map providerOptions = PropertyUtil.filterProperties(options, "provider."); // If we have been given a futures factory to use then we ignore any URI options indicating // what to create and just go with what we are given. if (futureFactory == null) { // Create a configured ProviderFutureFactory for use by the resulting AmqpProvider futureFactory = ProviderFutureFactory.create(providerOptions); if (!providerOptions.isEmpty()) { String msg = "" + " Not all Provider options could be applied during Failover Provider creation." + " Check the options are spelled correctly." + " Unused parameters=[" + providerOptions + "]." + " This provider instance cannot be started."; throw new IllegalArgumentException(msg); } } FailoverProvider provider = new FailoverProvider(composite.getComponents(), nested, futureFactory); Map unused = PropertyUtil.setProperties(provider, filtered); if (!unused.isEmpty()) { String msg = "" + " Not all options could be set on the Failover provider." + " Check the options are spelled correctly." + " Unused parameters=[" + unused + "]." + " This Provider cannot be started."; throw new IllegalArgumentException(msg); } return provider; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	5014	https://github.com/apache/qpid-jms/blob/59f62b111687072fad3302fb4c6f91a389b4c0e6/qpid-jms-client/src/main/java/org/apache/qpid/jms/provider/failover/FailoverProviderFactory.java/#L49-L85	2	495	5014
335	YES I found bad smells The bad smells are: 1. Long method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: void getHashes(List searchHashes, int bitShift) { // We don't need to include 0 because that's always assumed in look ups. If we do return 0, that // means this agent isn't sure what it needs, but the inverse is acceptable because that just // means the airing doesn't know what it matches and it will be tested on all of the agents. searchHashes.clear(); if (title != null) { searchHashes.add((title.ignoreCaseHash >>> bitShift)); } if (person != null) { addHash(person.ignoreCaseHash, searchHashes, bitShift); } if (category != null) { addHash(category.ignoreCaseHash, searchHashes, bitShift); } if (subCategory != null) { addHash(subCategory.ignoreCaseHash, searchHashes, bitShift); } if (chanName.length() > 0) { addHash(chanName.hashCode(), searchHashes, bitShift); } if (chanNames != null && chanNames.length > 0) { for (String chanName : chanNames) { addHash(chanName.hashCode(), searchHashes, bitShift); } } if (network != null) { addHash(network.ignoreCaseHash, searchHashes, bitShift); } if (rated != null) { addHash(rated.ignoreCaseHash, searchHashes, bitShift); } if (year != null) { addHash(year.ignoreCaseHash, searchHashes, bitShift); } if (pr != null) { addHash(pr.ignoreCaseHash, searchHashes, bitShift); } // This will ensure that we do a full search since 0 means at least one of our items doesn't // have a "valid" hash. if (searchHashes.contains(0)) searchHashes.clear(); }	long method	Long method 2 Feature Envy	t	f	t			0	3439	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Agent.java/#L1825-L1889	2	335	3439
3557	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Object getValue(final String columnLabel, final Class type) throws SQLException { Object result; if (Object.class == type) { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } else if (boolean.class == type) { result = decrypt(columnLabel, resultSet.getBoolean(columnLabel)); } else if (byte.class == type) { result = decrypt(columnLabel, resultSet.getByte(columnLabel)); } else if (short.class == type) { result = decrypt(columnLabel, resultSet.getShort(columnLabel)); } else if (int.class == type) { result = decrypt(columnLabel, resultSet.getInt(columnLabel)); } else if (long.class == type) { result = decrypt(columnLabel, resultSet.getLong(columnLabel)); } else if (float.class == type) { result = decrypt(columnLabel, resultSet.getFloat(columnLabel)); } else if (double.class == type) { result = decrypt(columnLabel, resultSet.getDouble(columnLabel)); } else if (String.class == type) { result = decrypt(columnLabel, resultSet.getString(columnLabel)); } else if (BigDecimal.class == type) { result = decrypt(columnLabel, resultSet.getBigDecimal(columnLabel)); } else if (byte[].class == type) { result = resultSet.getBytes(columnLabel); } else if (Date.class == type) { result = resultSet.getDate(columnLabel); } else if (Time.class == type) { result = resultSet.getTime(columnLabel); } else if (Timestamp.class == type) { result = resultSet.getTimestamp(columnLabel); } else if (URL.class == type) { result = resultSet.getURL(columnLabel); } else if (Blob.class == type) { result = resultSet.getBlob(columnLabel); } else if (Clob.class == type) { result = resultSet.getClob(columnLabel); } else if (SQLXML.class == type) { result = resultSet.getSQLXML(columnLabel); } else if (Reader.class == type) { result = resultSet.getCharacterStream(columnLabel); } else { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } return result; }	long method	Long method2 Feature envy	t	f	t			0	7777	https://github.com/apache/incubator-shardingsphere/blob/c5cf1d15b02f3a0fb3bda4f15d5f0b3779eac7ba/sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/sql/execute/result/StreamQueryResult.java/#L117-L162	2	3557	7777
1931	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void main(List trees) { // complete the javac AST with a completed ceylon model timer.startTask("prepareForTypeChecking"); prepareForTypeChecking(trees); timer.endTask(); List javaTrees = List.nil(); List ceylonTrees = List.nil(); // split them in two sets: java and ceylon for(JCCompilationUnit tree : trees){ if(tree instanceof CeylonCompilationUnit) ceylonTrees = ceylonTrees.prepend(tree); else javaTrees = javaTrees.prepend(tree); } timer.startTask("Enter on Java trees"); boolean needsModelReset = isBootstrap; // enter java trees first to set up their ClassSymbol objects for ceylon trees to use during type-checking if(!javaTrees.isEmpty()){ setupImportedPackagesForJavaTrees(javaTrees); hasJavaAndCeylonSources = true; needsModelReset = true; } // this is false if we're in an APT round where we did not generate the trees if(!compiler.isAddModuleTrees()){ setupImportedPackagesForJavaTrees(ceylonTrees); } if(isBootstrap || hasJavaAndCeylonSources){ super.main(trees); } // now we can type-check the Ceylon code List packageInfo = completeCeylonTrees(trees); trees = trees.prependList(packageInfo); ceylonTrees = ceylonTrees.prependList(packageInfo); if(compiler.isHadRunTwiceException()){ needsModelReset = true; } if(needsModelReset){ // bootstrapping the language module is a bit more complex resetAndRunEnterAgain(trees); }else{ timer.startTask("Enter on Ceylon trees"); // and complete their new trees try { sourceLanguage.push(Language.CEYLON); super.main(ceylonTrees); } finally { sourceLanguage.pop(); } timer.endTask(); } }	long method	Long method2 Feature envy	t	f	t			0	12454	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/compiler-java/src/org/eclipse/ceylon/compiler/java/loader/CeylonEnter.java/#L203-L255	2	1931	12454
959	YES, I found bad smells: 1. Long method 2. Feature envy 3. Data clumps 4. Primitive obsession 5. Inconsistent naming conventions 6. Duplicate code 7. Poor exception handling 8. Tight coupling 9. Multiple responsibilities 10. Lack of proper abstraction	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: BundleArchiveRevision(String location, File revisionDir, File file) throws IOException{ this.revisionDir = revisionDir; this.location = location; if (!this.revisionDir.exists()) { this.revisionDir.mkdirs(); } if(revisionDir.getAbsolutePath().startsWith(RuntimeVariables.androidApplication.getFilesDir().getAbsolutePath())){ externalStorage = false; }else{ externalStorage = true; } if(shouldCopyInstallFile(file)){ if (isSameDriver(revisionDir, file)) { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); boolean result = file.renameTo(bundleFile); if(!result){ ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } } else { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } installSoLib(bundleFile); }else{ this.revisionLocation = REFERENCE_PROTOCOL + file.getAbsolutePath(); this.bundleFile = file; installSoLib(file); } updateMetadata(); }	long method	Long method2 Feature envy3 Data clumps4 Primitive obsession5 Inconsistent naming conventions6 Duplicate code7 Poor exception handling8 Tight coupling9 Multiple responsibilities	t	f	t			0	8560	https://github.com/alibaba/atlas/blob/e8c7b3f1ff14b2a1df64321c6992b796cae7d732/atlas-core/src/main/java/android/taobao/atlas/framework/bundlestorage/BundleArchiveRevision.java/#L301-L332	2	959	8560
845	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void handleChainFromFilter( StreamTypeRecord streamType, MethodInvocationTree observableDotFilter, Tree filterMethodOrLambda, VisitorState state) { MethodInvocationTree outerCallInChain = observableDotFilter; if (outerCallInChain == null) { return; } // Traverse the observable call chain out through any pass-through methods do { outerCallInChain = observableOuterCallInChain.get(outerCallInChain); // Check for a map method (which might be a pass-through method or the first method after a // pass-through chain) MethodInvocationTree mapCallsite = observableOuterCallInChain.get(observableDotFilter); if (observableCallToInnerMethodOrLambda.containsKey(outerCallInChain)) { // Update mapToFilterMap Symbol.MethodSymbol mapMethod = ASTHelpers.getSymbol(outerCallInChain); if (streamType.isMapMethod(mapMethod)) { MaplikeToFilterInstanceRecord record = new MaplikeToFilterInstanceRecord( streamType.getMaplikeMethodRecord(mapMethod), filterMethodOrLambda); mapToFilterMap.put(observableCallToInnerMethodOrLambda.get(outerCallInChain), record); } } } while (outerCallInChain != null && streamType.matchesType(ASTHelpers.getReceiverType(outerCallInChain), state) && streamType.isPassthroughMethod(ASTHelpers.getSymbol(outerCallInChain))); }	long method	Long method2 Feature envy	t	f	t			0	7823	https://github.com/uber/NullAway/blob/31a184261daaf05f3d353146f44e8e8f12fd7a4d/nullaway/src/main/java/com/uber/nullaway/handlers/RxNullabilityPropagator.java/#L287-L315	2	845	7823
4487	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static List> getFacilityContactMechValueMaps(Delegator delegator, String facilityId, boolean showOld, String contactMechTypeId) { List> facilityContactMechValueMaps = new LinkedList>(); List allFacilityContactMechs = null; try { List tempCol = EntityQuery.use(delegator).from("FacilityContactMech").where("facilityId", facilityId).queryList(); if (contactMechTypeId != null) { List tempColTemp = new LinkedList(); for (GenericValue partyContactMech: tempCol) { GenericValue contactMech = delegator.getRelatedOne("ContactMech", partyContactMech, false); if (contactMech != null && contactMechTypeId.equals(contactMech.getString("contactMechTypeId"))) { tempColTemp.add(partyContactMech); } } tempCol = tempColTemp; } if (!showOld) tempCol = EntityUtil.filterByDate(tempCol, true); allFacilityContactMechs = tempCol; } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (allFacilityContactMechs == null) return facilityContactMechValueMaps; for (GenericValue facilityContactMech: allFacilityContactMechs) { GenericValue contactMech = null; try { contactMech = facilityContactMech.getRelatedOne("ContactMech", false); } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (contactMech != null) { Map facilityContactMechValueMap = new HashMap(); facilityContactMechValueMaps.add(facilityContactMechValueMap); facilityContactMechValueMap.put("contactMech", contactMech); facilityContactMechValueMap.put("facilityContactMech", facilityContactMech); try { facilityContactMechValueMap.put("contactMechType", contactMech.getRelatedOne("ContactMechType", true)); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { List facilityContactMechPurposes = facilityContactMech.getRelated("FacilityContactMechPurpose", null, null, false); if (!showOld) facilityContactMechPurposes = EntityUtil.filterByDate(facilityContactMechPurposes, true); facilityContactMechValueMap.put("facilityContactMechPurposes", facilityContactMechPurposes); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { if ("POSTAL_ADDRESS".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("postalAddress", contactMech.getRelatedOne("PostalAddress", false)); } else if ("TELECOM_NUMBER".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("telecomNumber", contactMech.getRelatedOne("TelecomNumber", false)); } } catch (GenericEntityException e) { Debug.logWarning(e, module); } } } return facilityContactMechValueMaps; }	long method	long method, feature envy	t	t	t	feature envy		0	11883	https://github.com/apache/ofbiz/blob/7ba7f3c2e16df6c8db0d8114e124957199cea1ff/applications/party/src/main/java/org/apache/ofbiz/party/contact/ContactMechWorker.java/#L129-L198	1	4487	11883
2530	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected Server createJettyServer(JettyHttpHandlerAdapter servlet) { int port = (getPort() >= 0) ? getPort() : 0; InetSocketAddress address = new InetSocketAddress(getAddress(), port); Server server = new Server(getThreadPool()); server.addConnector(createConnector(address, server)); ServletHolder servletHolder = new ServletHolder(servlet); servletHolder.setAsyncSupported(true); ServletContextHandler contextHandler = new ServletContextHandler(server, "", false, false); contextHandler.addServlet(servletHolder, "/"); server.setHandler(addHandlerWrappers(contextHandler)); JettyReactiveWebServerFactory.logger .info("Server initialized with port: " + port); if (getSsl() != null && getSsl().isEnabled()) { customizeSsl(server, address); } for (JettyServerCustomizer customizer : getServerCustomizers()) { customizer.customize(server); } if (this.useForwardHeaders) { new ForwardHeadersCustomizer().customize(server); } return server; }	long method	long method	t	t	t			0	14736	https://github.com/spring-projects/spring-boot/blob/2225b362991f225e3a93f00e160526d2b8abdfb2/spring-boot-project/spring-boot/src/main/java/org/springframework/boot/web/embedded/jetty/JettyReactiveWebServerFactory.java/#L171-L194	1	2530	14736
5710	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List fromProps(Map m) { List props = new ArrayList(); for (Map.Entry entry : m.entrySet()) { String key = entry.getKey(); Object val = entry.getValue(); PropertyType propEl = new PropertyType(); propEl.setName(key); ObjectFactory factory = new ObjectFactory(); if (val.getClass().isArray()) { ArrayType arrayEl = new ArrayType(); propEl.getContent().add(factory.createArray(arrayEl)); for (Object o : normalizeArray(val)) { setValueType(propEl, o); ValueType valueType = new ValueType(); valueType.getContent().add(o.toString()); arrayEl.getValue().add(valueType); } } else if (val instanceof List) { ArrayType listEl = new ArrayType(); propEl.getContent().add(factory.createList(listEl)); handleCollectionValue((Collection) val, propEl, listEl); } else if (val instanceof Set) { ArrayType setEl = new ArrayType(); propEl.getContent().add(factory.createSet(setEl)); handleCollectionValue((Collection) val, propEl, setEl); } else if (val instanceof String || val instanceof Character || val instanceof Boolean || val instanceof Byte) { setValueType(propEl, val); propEl.setValue(val.toString()); } else if (val instanceof Long || val instanceof Double || val instanceof Float || val instanceof Integer || val instanceof Short) { // various numbers.. maybe "val instanceof Number"? setValueType(propEl, val); propEl.setValue(val.toString()); } else { // Don't add this property as the value type is not supported continue; } props.add(propEl); } return props; }	long method	Long method2 Feature envy	t	f	t			0	12666	https://github.com/apache/aries-rsa/blob/f5aa5ca62c3948d7e471c3a839089180650cf4f2/discovery/local/src/main/java/org/apache/aries/rsa/discovery/endpoint/PropertiesMapper.java/#L233-L280	1	5710	12666
2447	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); // define symbols mPointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.Style.SQUARE, 0xFFFF0000, 20); mLineSymbol = new SimpleLineSymbol(SimpleLineSymbol.Style.SOLID, 0xFFFF8800, 4); mFillSymbol = new SimpleFillSymbol(SimpleFillSymbol.Style.CROSS, 0x40FFA9A9, mLineSymbol); // inflate map view from layout mMapView = findViewById(R.id.mapView); // create a map with the Basemap Type topographic ArcGISMap map = new ArcGISMap(Basemap.Type.LIGHT_GRAY_CANVAS, 34.056295, -117.195800, 16); // set the map to be displayed in this view mMapView.setMap(map); mGraphicsOverlay = new GraphicsOverlay(); mMapView.getGraphicsOverlays().add(mGraphicsOverlay); // create a new sketch editor and add it to the map view mSketchEditor = new SketchEditor(); mMapView.setSketchEditor(mSketchEditor); // get buttons from layouts mPointButton = findViewById(R.id.pointButton); mMultiPointButton = findViewById(R.id.pointsButton); mPolylineButton = findViewById(R.id.polylineButton); mPolygonButton = findViewById(R.id.polygonButton); mFreehandLineButton = findViewById(R.id.freehandLineButton); mFreehandPolygonButton = findViewById(R.id.freehandPolygonButton); // add click listeners mPointButton.setOnClickListener(view -> createModePoint()); mMultiPointButton.setOnClickListener(view -> createModeMultipoint()); mPolylineButton.setOnClickListener(view -> createModePolyline()); mPolygonButton.setOnClickListener(view -> createModePolygon()); mFreehandLineButton.setOnClickListener(view -> createModeFreehandLine()); mFreehandPolygonButton.setOnClickListener(view -> createModeFreehandPolygon()); }	long method	Long method2 Duplicate code3 Feature Envy	t	f	t			0	14497	https://github.com/Esri/arcgis-runtime-samples-android/blob/22b9a4c99c82a75a128b64703c0c1ffb2f9f5293/java/sketch-editor/src/main/java/com/esri/arcgisruntime/sample/sketcheditor/MainActivity.java/#L44-L83	2	2447	14497
2699	{ "output": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Data Class"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean isExists(Object identifier) throws AppCatalogException { HashMap ids; if (identifier instanceof Map) { ids = (HashMap) identifier; } else { logger.error("Identifier should be a map with the field name and it's value"); throw new AppCatalogException("Identifier should be a map with the field name and it's value"); } EntityManager em = null; try { em = AppCatalogJPAUtils.getEntityManager(); ComputeResourcePreference existingPreference = em.find(ComputeResourcePreference.class, new ComputeResourcePreferencePK(ids.get(ComputeResourcePreferenceConstants.GATEWAY_ID), ids.get(ComputeResourcePreferenceConstants.RESOURCE_ID))); if (em.isOpen()) { if (em.getTransaction().isActive()){ em.getTransaction().rollback(); } em.close(); } return existingPreference != null; }catch (Exception e) { logger.error(e.getMessage(), e); throw new AppCatalogException(e); } finally { if (em != null && em.isOpen()) { if (em.getTransaction().isActive()) { em.getTransaction().rollback(); } em.close(); } } }	long method	long method, data class	t	t	t	data class		0	15326	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-core/src/main/java/org/apache/airavata/registry/core/app/catalog/resources/ComputeHostPreferenceResource.java/#L522-L556	1	2699	15326
445	{ "message": "YES I found bad smells", "detected_bad_smells": { "the bad smells are": [ "Long Method" ] } }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final void rule__Action__OperatorAssignment_2_2() throws RecognitionException { int stackSize = keepStackSize(); try { // InternalXtextGrammarTestLanguage.g:6076:1: ( ( ( rule__Action__OperatorAlternatives_2_2_0 ) ) ) // InternalXtextGrammarTestLanguage.g:6077:2: ( ( rule__Action__OperatorAlternatives_2_2_0 ) ) { // InternalXtextGrammarTestLanguage.g:6077:2: ( ( rule__Action__OperatorAlternatives_2_2_0 ) ) // InternalXtextGrammarTestLanguage.g:6078:3: ( rule__Action__OperatorAlternatives_2_2_0 ) { before(grammarAccess.getActionAccess().getOperatorAlternatives_2_2_0()); // InternalXtextGrammarTestLanguage.g:6079:3: ( rule__Action__OperatorAlternatives_2_2_0 ) // InternalXtextGrammarTestLanguage.g:6079:4: rule__Action__OperatorAlternatives_2_2_0 { pushFollow(FOLLOW_2); rule__Action__OperatorAlternatives_2_2_0(); state._fsp--; } after(grammarAccess.getActionAccess().getOperatorAlternatives_2_2_0()); } } } catch (RecognitionException re) { reportError(re); recover(input,re); } finally { restoreStackSize(stackSize); } return ; }	long method	the bad smells are: long method	t	t	t			0	4346	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.testlanguages.ide/src-gen/org/eclipse/xtext/testlanguages/xtextgrammar/ide/contentassist/antlr/internal/InternalXtextGrammarTestLanguageParser.java/#L18472-L18513	1	445	4346
1747	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void testGroupByOrderPreservingDescSort() throws Exception { Properties props = PropertiesUtil.deepCopy(TEST_PROPERTIES); Connection conn = DriverManager.getConnection(getUrl(), props); String tableName = generateUniqueName(); conn.createStatement().execute("CREATE TABLE " + tableName + " (k1 char(1) not null, k2 char(1) not null," + " constraint pk primary key (k1,k2)) split on ('ac','jc','nc')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'd')"); conn.commit(); QueryBuilder queryBuilder = new QueryBuilder() .setSelectExpression("K1,COUNT(*)") .setSelectColumns(Lists.newArrayList("K1")) .setFullTableName(tableName) .setGroupByClause("K1") .setOrderByClause("K1 DESC"); ResultSet rs = executeQuery(conn, queryBuilder); assertTrue(rs.next()); assertEquals("n", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("j", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("a", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertFalse(rs.next()); String expectedPhoenixPlan = "CLIENT PARALLEL 1-WAY REVERSE FULL SCAN OVER " + tableName + "\n" + " SERVER FILTER BY FIRST KEY ONLY\n" + " SERVER AGGREGATE INTO ORDERED DISTINCT ROWS BY [K1]"; validateQueryPlan(conn, queryBuilder, expectedPhoenixPlan, null); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11855	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/it/java/org/apache/phoenix/end2end/BaseAggregateIT.java/#L386-L427	2	1747	11855
1797	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	Long method2 Feature envy	t	f	t			0	12001	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	2	1797	12001
1217	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected SQLBuffer toBulkOperation(ClassMapping mapping, Select sel, JDBCStore store, Object[] params, Map updateParams) { SQLBuffer sql = new SQLBuffer(this); if (updateParams == null) { if (requiresTargetForDelete) { sql.append("DELETE "); SQLBuffer deleteTargets = getDeleteTargets(sel); sql.append(deleteTargets); sql.append(" FROM "); } else { sql.append("DELETE FROM "); } } else sql.append("UPDATE "); sel.addJoinClassConditions(); // if there is only a single table in the select, then we can // just issue a single DELETE FROM TABLE WHERE // statement; otherwise, since SQL doesn't allow deleting // from one of a multi-table select, we need to issue a subselect // like DELETE FROM TABLE WHERE EXISTS // (SELECT 1 FROM TABLE t0 WHERE t0.ID = TABLE.ID); also, some // databases do not allow aliases in delete statements, which // also causes us to use a subselect Collection selectedTables = getSelectTableAliases(sel); if (selectedTables.size() == 1 && supportsSubselect && allowsAliasInBulkClause) { SQLBuffer from; if (sel.getFromSelect() != null) from = getFromSelect(sel, false); else from = getFrom(sel, false); sql.append(from); appendUpdates(sel, store, sql, params, updateParams, allowsAliasInBulkClause); SQLBuffer where = sel.getWhere(); if (where != null && !where.isEmpty()) { sql.append(" WHERE "); sql.append(where); } return sql; } Table table = mapping.getTable(); String tableName = getFullName(table, false); // only use a subselect if the where is not empty; otherwise // an unqualified delete or update will work if (sel.getWhere() == null || sel.getWhere().isEmpty()) { sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); return sql; } // we need to use a subselect if we are to bulk delete where // the select includes multiple tables; if the database // doesn't support it, then we need to signal this by returning null if (!supportsSubselect || !supportsCorrelatedSubselect) return null; Column[] pks = mapping.getPrimaryKeyColumns(); sel.clearSelects(); sel.setDistinct(true); // if we have only a single PK, we can use a non-correlated // subquery (using an IN statement), which is much faster than // a correlated subquery (since a correlated subquery needs // to be executed once for each row in the table) if (pks.length == 1) { sel.select(pks[0]); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE "). append(pks[0]).append(" IN ("). append(sel.toSelect(false, null)).append(")"); } else { sel.clearSelects(); sel.setDistinct(false); // since the select is using a correlated subquery, we // only need to select a bogus virtual column sel.select("1", null); // add in the joins to the table Column[] cols = table.getPrimaryKey().getColumns(); SQLBuffer buf = new SQLBuffer(this); buf.append("("); for (int i = 0; i < cols.length; i++) { if (i > 0) buf.append(" AND "); // add in "t0.PK = MYTABLE.PK" buf.append(sel.getColumnAlias(cols[i])).append(" = "). append(table).append(catalogSeparator).append(cols[i]); } buf.append(")"); sel.where(buf, null); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE EXISTS ("). append(sel.toSelect(false, null)).append(")"); } return sql; }	long method	long method	t	t	t			0	10323	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DBDictionary.java/#L2243-L2350	1	1217	10323
781	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean isExists(Object identifier) throws AppCatalogException { HashMap ids; if (identifier instanceof Map) { ids = (HashMap) identifier; } else { logger.error("Identifier should be a map with the field name and it's value"); throw new AppCatalogException("Identifier should be a map with the field name and it's value"); } EntityManager em = null; try { em = AppCatalogJPAUtils.getEntityManager(); ComputeResourcePreference existingPreference = em.find(ComputeResourcePreference.class, new ComputeResourcePreferencePK(ids.get(ComputeResourcePreferenceConstants.GATEWAY_ID), ids.get(ComputeResourcePreferenceConstants.RESOURCE_ID))); if (em.isOpen()) { if (em.getTransaction().isActive()){ em.getTransaction().rollback(); } em.close(); } return existingPreference != null; }catch (Exception e) { logger.error(e.getMessage(), e); throw new AppCatalogException(e); } finally { if (em != null && em.isOpen()) { if (em.getTransaction().isActive()) { em.getTransaction().rollback(); } em.close(); } } }	long method	long method, data class	t	t	t	data class		0	7457	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-core/src/main/java/org/apache/airavata/registry/core/app/catalog/resources/ComputeHostPreferenceResource.java/#L522-L556	1	781	7457
48	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Object getApplicationToRun(String[] args) throws CoreException { String configuredApplication = getConfiguredApplication(args); if (configuredApplication == null) { configuredApplication = DEFAULT_APP_3_0; } else { System.out.println("Launching application " + configuredApplication + "..."); } // Assume we are in 3.0 mode. // Find the name of the application as specified by the PDE JUnit launcher. // If no application is specified, the 3.0 default workbench application // is returned. IExtension extension = Platform.getExtensionRegistry().getExtension(Platform.PI_RUNTIME, Platform.PT_APPLICATIONS, configuredApplication); // If no 3.0 extension can be found, search the registry // for the pre-3.0 default workbench application, i.e. org.eclipse ui.workbench // Set the deprecated flag to true if (extension == null) { return null; } // If the extension does not have the correct grammar, return null. // Otherwise, return the application object. IConfigurationElement[] elements = extension.getConfigurationElements(); if (elements.length > 0) { IConfigurationElement[] runs = elements[0].getChildren("run"); //$NON-NLS-1$ if (runs.length > 0) { return runs[0].createExecutableExtension("class"); //$NON-NLS-1$ } } return null; }	long method	long method	t	t	t			0	854	https://github.com/eclipse/tycho/blob/913062f90a6bad5c8c2b57c77111a52e698105d5/tycho-surefire/org.eclipse.tycho.surefire.osgibooter/src/main/java/org/eclipse/tycho/surefire/osgibooter/AbstractUITestApplication.java/#L67-L99	1	48	854
486	{ "message": "YES I found bad smells", "bad smells are:": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void setVersions(final VersionTag versionTag) { this.memberId = versionTag.getMemberID(); int eVersion = versionTag.getEntryVersion(); this.entryVersionLowBytes = (short) (eVersion & 0xffff); this.entryVersionHighByte = (byte) ((eVersion & 0xff0000) >> 16); this.regionVersionHighBytes = versionTag.getRegionVersionHighBytes(); this.regionVersionLowBytes = versionTag.getRegionVersionLowBytes(); if (!versionTag.isGatewayTag() && this.distributedSystemId == versionTag.getDistributedSystemId()) { if (getVersionTimeStamp() <= versionTag.getVersionTimeStamp()) { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } else { versionTag.setVersionTimeStamp(getVersionTimeStamp()); } } else { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } this.distributedSystemId = (byte) (versionTag.getDistributedSystemId() & 0xff); }	long method	long method, feature envy	t	t	t	feature envy		0	4755	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/entries/VersionedStatsRegionEntryOffHeapIntKey.java/#L287-L306	1	486	4755
953	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static Class stringToClass(String klass) throws FrontendException { if ("string".equalsIgnoreCase(klass)) { return String.class; } else if ("int".equalsIgnoreCase(klass)) { return Integer.TYPE; } else if ("double".equalsIgnoreCase(klass)) { return Double.TYPE; } else if ("float".equalsIgnoreCase(klass)){ return Float.TYPE; } else if ("long".equalsIgnoreCase(klass)) { return Long.TYPE; } else if ("double[]".equalsIgnoreCase(klass)) { return DOUBLE_ARRAY_CLASS; } else if ("int[]".equalsIgnoreCase(klass)) { return INT_ARRAY_CLASS; } else if ("long[]".equalsIgnoreCase(klass)) { return LONG_ARRAY_CLASS; } else if ("float[]".equalsIgnoreCase(klass)) { return FLOAT_ARRAY_CLASS; } else if ("string[]".equalsIgnoreCase(klass)) { return STRING_ARRAY_CLASS; } else { throw new FrontendException("unable to find matching class for " + klass); } }	long method	Long method2 Feature envy	t	f	t			0	8529	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/builtin/Invoker.java/#L113-L138	2	953	8529
2342	YES I found bad smells. The bad smells are:Long method, Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void validateArrayStep(String arrStep) throws QueryException { boolean wildAllowed = true; // * is allowed initially boolean digitAllowed = true; // Digit is allowed as next char boolean commaAllowed = false; // Comma is allowed as next char boolean afterDigit = false; // Last non-space was a digit boolean toAllowed = false; // Any space after digit allows "to" boolean afterTo = false; // After "to" expecting range end boolean toInProgress = false; // Prior char was 't' in "to" boolean spaceRequired = false; // A whitespace is required (after "to") boolean digitRequired = false; // Digit required after comma or "to" for (int i = 1; i < arrStep.length() - 1; ++i) { char currentChar = arrStep.charAt(i); if (currentChar == '*') { if (!wildAllowed) throwArrayException(arrStep); wildAllowed = false; // We've seen the only allowed wildcard digitAllowed = false; // Only whitespace is allowed afterward } else if (currentChar == ',') { if (!commaAllowed) throwArrayException(arrStep); commaAllowed = false; toAllowed = false; afterDigit = false; afterTo = false; digitRequired = true; // Next non-space must be a digit } else if ("0123456789".indexOf(currentChar) >= 0) { if (!digitAllowed) throwArrayException(arrStep); wildAllowed = false; // Wildcard no longer allowed commaAllowed = true; afterDigit = true; digitRequired = false; } else if (" \t\n\r".indexOf(currentChar) >= 0) { // Whitespace not allowed when parsing "to" if (toInProgress) throwArrayException(arrStep); if (afterDigit) { // Last non-space was a digit - next non-space is "to" or comma digitAllowed = false; toAllowed = !afterTo; commaAllowed = true; } else if (spaceRequired) { // This is the whitespace required after "to" digitAllowed = true; spaceRequired = false; digitRequired = true; // At least one digit must follow } } else if (currentChar == 't') { if (!toAllowed) throwArrayException(arrStep); toInProgress = true; // Next char must be the 'o' in "to" commaAllowed = false; afterDigit = false; } else if (currentChar == 'o') { if (!toInProgress) throwArrayException(arrStep); toInProgress = false; toAllowed = false; afterTo = true; spaceRequired = true; // "to" must be followed by whitespace } else { // Invalid character throwArrayException(arrStep); } } // Empty array or only whitespace found if (wildAllowed) throwArrayException(arrStep); // Incomplete "to" or comma sequence at end of subscript if (toInProgress || spaceRequired || digitRequired) throwArrayException(arrStep); }	long method	Long method, Feature envy	t	f	t	Feature envy		0	14179	https://github.com/oracle/soda-for-java/blob/352634e26b5a0d9d529d5436f7a4c8e21ed1dbf0/src/oracle/json/parser/PathParser.java/#L138-L239	2	2342	14179
1826	YES I found bad smells the bad smells are: 1.Long method 2.Magic number 3.Duplicate code 4.Message chains 5.Data class 6.Inappropriate intimacy 7.Shotgun surgery	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected static void initialize() { STRAM.setChildren(Sets.newHashSet(APPLICATION, TEMPLATE)); APPLICATION.setChildren(Sets.newHashSet(GATEWAY, OPERATOR, STREAM)); OPERATOR.setChildren(Sets.newHashSet(PORT)); PORT.setChildren(Sets.newHashSet(UNIFIER)); STRAM_ELEMENT_TO_CONF_ELEMENT.clear(); //Initialize StramElement to ConfElement for (ConfElement confElement: ConfElement.values()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(confElement.getStramElement(), confElement); for (StramElement sElement: confElement.getAllRelatedElements()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(sElement, confElement); } } //Initialize attributes for (ConfElement confElement: ConfElement.values()) { if (confElement.getParent() == null) { continue; } setAmbiguousAttributes(confElement); } // build context to conf element map CONTEXT_TO_CONF_ELEMENT.clear(); for (ConfElement confElement: ConfElement.values()) { CONTEXT_TO_CONF_ELEMENT.put(confElement.getContextClass(), confElement); } //Check if all the context classes are accounted for Set> confElementContextClasses = Sets.newHashSet(); for (ConfElement confElement: ConfElement.values()) { if (confElement.getContextClass() == null) { continue; } confElementContextClasses.add(confElement.getContextClass()); } if (!ContextUtils.CONTEXT_CLASSES.equals(confElementContextClasses)) { throw new IllegalStateException("All the context classes " + ContextUtils.CONTEXT_CLASSES + " found in " + Context.class + " are not used by ConfElements " + confElementContextClasses); } }	long method	Long method 2Magic number 3Duplicate code 4Message chains 5Data class 6Inappropriate intimacy7Shotgun surgery	t	f	t			0	12112	https://github.com/apache/apex-core/blob/d17f464fcaf19778e2f8edbe2b03419151558068/engine/src/main/java/com/datatorrent/stram/plan/logical/LogicalPlanConfiguration.java/#L230-L279	2	1826	12112
2376	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void handleChainFromFilter( StreamTypeRecord streamType, MethodInvocationTree observableDotFilter, Tree filterMethodOrLambda, VisitorState state) { MethodInvocationTree outerCallInChain = observableDotFilter; if (outerCallInChain == null) { return; } // Traverse the observable call chain out through any pass-through methods do { outerCallInChain = observableOuterCallInChain.get(outerCallInChain); // Check for a map method (which might be a pass-through method or the first method after a // pass-through chain) MethodInvocationTree mapCallsite = observableOuterCallInChain.get(observableDotFilter); if (observableCallToInnerMethodOrLambda.containsKey(outerCallInChain)) { // Update mapToFilterMap Symbol.MethodSymbol mapMethod = ASTHelpers.getSymbol(outerCallInChain); if (streamType.isMapMethod(mapMethod)) { MaplikeToFilterInstanceRecord record = new MaplikeToFilterInstanceRecord( streamType.getMaplikeMethodRecord(mapMethod), filterMethodOrLambda); mapToFilterMap.put(observableCallToInnerMethodOrLambda.get(outerCallInChain), record); } } } while (outerCallInChain != null && streamType.matchesType(ASTHelpers.getReceiverType(outerCallInChain), state) && streamType.isPassthroughMethod(ASTHelpers.getSymbol(outerCallInChain))); }	long method	Long method2 Feature envy	t	f	t			0	14325	https://github.com/uber/NullAway/blob/31a184261daaf05f3d353146f44e8e8f12fd7a4d/nullaway/src/main/java/com/uber/nullaway/handlers/RxNullabilityPropagator.java/#L287-L315	2	2376	14325
1615	YES I found bad smells The bad smells are: 1. Duplicate code 2. Long method 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void sessionEnd0(@Nullable IgniteInternalTx tx, boolean threwEx) throws IgniteCheckedException { try { if (tx == null) { if (sesLsnrs != null && sesHolder.get().contains(store)) { for (CacheStoreSessionListener lsnr : sesLsnrs) lsnr.onSessionEnd(locSes, !threwEx); } if (!sesHolder.get().ended(store)) store.sessionEnd(!threwEx); } } catch (Exception e) { if (!threwEx) throw U.cast(e); } finally { if (sesHolder != null) sesHolder.set(null); } }	long method	Duplicate code 2 Long method 3 Feature envy	t	f	t			0	11472	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/store/GridCacheStoreManagerAdapter.java/#L928-L948	2	1615	11472
2003	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers 3. Nested loops 4. Use of var instead of specific data types 5. Poor variable names 6. Feature envy 7. Use of deprecated code (such as FSUtils.getRootDir()) 8. Duplicate code (such as using LOG.isTraceEnabled() twice) 9. Use of "continue" statement 10. Complex conditionals (such as if(srcIdx < 0)) 11. Use of hard-coded values (such as Bytes.toBytes()) 12. Catching and throwing generic exceptions (such as IOException) instead of specific ones 13. Use of multiple return statements 14. Inconsistent indentations 15. Use of multiple assignments in one line 16. Use of "else" statements (can be refactored into guard clauses)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("unchecked") protected Map>[] handleBulkLoad(List sTableList) throws IOException { Map>[] mapForSrc = new Map[sTableList.size()]; List activeFiles = new ArrayList<>(); List archiveFiles = new ArrayList<>(); Pair>>>>, List> pair = backupManager.readBulkloadRows(sTableList); Map>>>> map = pair.getFirst(); FileSystem tgtFs; try { tgtFs = FileSystem.get(new URI(backupInfo.getBackupRootDir()), conf); } catch (URISyntaxException use) { throw new IOException("Unable to get FileSystem", use); } Path rootdir = FSUtils.getRootDir(conf); Path tgtRoot = new Path(new Path(backupInfo.getBackupRootDir()), backupId); for (Map.Entry>>>> tblEntry : map.entrySet()) { TableName srcTable = tblEntry.getKey(); int srcIdx = getIndex(srcTable, sTableList); if (srcIdx < 0) { LOG.warn("Couldn't find " + srcTable + " in source table List"); continue; } if (mapForSrc[srcIdx] == null) { mapForSrc[srcIdx] = new TreeMap<>(Bytes.BYTES_COMPARATOR); } Path tblDir = FSUtils.getTableDir(rootdir, srcTable); Path tgtTable = new Path(new Path(tgtRoot, srcTable.getNamespaceAsString()), srcTable.getQualifierAsString()); for (Map.Entry>>> regionEntry : tblEntry.getValue().entrySet()){ String regionName = regionEntry.getKey(); Path regionDir = new Path(tblDir, regionName); // map from family to List of hfiles for (Map.Entry>> famEntry : regionEntry.getValue().entrySet()) { String fam = famEntry.getKey(); Path famDir = new Path(regionDir, fam); List files; if (!mapForSrc[srcIdx].containsKey(Bytes.toBytes(fam))) { files = new ArrayList<>(); mapForSrc[srcIdx].put(Bytes.toBytes(fam), files); } else { files = mapForSrc[srcIdx].get(Bytes.toBytes(fam)); } Path archiveDir = HFileArchiveUtil.getStoreArchivePath(conf, srcTable, regionName, fam); String tblName = srcTable.getQualifierAsString(); Path tgtFam = new Path(new Path(tgtTable, regionName), fam); if (!tgtFs.mkdirs(tgtFam)) { throw new IOException("couldn't create " + tgtFam); } for (Pair fileWithState : famEntry.getValue()) { String file = fileWithState.getFirst(); int idx = file.lastIndexOf("/"); String filename = file; if (idx > 0) { filename = file.substring(idx+1); } Path p = new Path(famDir, filename); Path tgt = new Path(tgtFam, filename); Path archive = new Path(archiveDir, filename); if (fs.exists(p)) { if (LOG.isTraceEnabled()) { LOG.trace("found bulk hfile " + file + " in " + famDir + " for " + tblName); } if (LOG.isTraceEnabled()) { LOG.trace("copying " + p + " to " + tgt); } activeFiles.add(p.toString()); } else if (fs.exists(archive)){ LOG.debug("copying archive " + archive + " to " + tgt); archiveFiles.add(archive.toString()); } files.add(tgt); } } } } copyBulkLoadedFiles(activeFiles, archiveFiles); backupManager.deleteBulkLoadedRows(pair.getSecond()); return mapForSrc; }	long method	Long method2 Magic numbers3 Nested loops4 Use of var instead of specific data types5 Poor variable names6 Feature envy7 Use of deprecated code (such as FSUtilsgetRootDir())8 Duplicate code (such as using LOGisTraceEnabled() twice)9 Use of "continue" statement	t	f	t			0	12716	https://github.com/apache/hbase/blob/44f8abd5c65c59e9d09f6ad14b3c825f145d8e4f/hbase-backup/src/main/java/org/apache/hadoop/hbase/backup/impl/IncrementalTableBackupClient.java/#L115-L201	2	2003	12716
2497	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3.Unnecessary variables, 4.Poorly named variables, 5.Inconsistent coding style, 6.Possible null pointer exception, 7.Duplicate code, 8.Hard-coded values, 9.No exception handling, 10.Excessive comments.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy:	long method	Long method, 2Magic numbers, 3Unnecessary variables, 4Poorly named variables, 5Inconsistent coding style, 6Possible null pointer exception, 7Duplicate code, 8Hard-coded values, 9No exception handling,	t	f	t	2.Magic numbers, 3.Unnecessary variables, 4.Poorly named variables, 5.Inconsistent coding style, 6.Possible null pointer exception, 7.Duplicate code, 8.Hard-coded values, 9.No exception handling,		0	14646	https://github.com/apache/kylin/blob/6ee0212af9d5b50096850c9cb76031b7cdd67402/core-common/src/main/java/org/apache/kylin/common/persistence/JDBCResourceStore.java/#L566-L591	2	2497	14646
345	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void doSmapText(Node n) { String text = n.getText(); int index = 0; int next = 0; int lineCount = 1; int skippedLines = 0; boolean slashStarSeen = false; boolean beginning = true; // Count lines inside text, but skipping comment lines at the // beginning of the text. while ((next = text.indexOf('\n', index)) > -1) { if (beginning) { String line = text.substring(index, next).trim(); if (!slashStarSeen && line.startsWith("/*")) { slashStarSeen = true; } if (slashStarSeen) { skippedLines++; int endIndex = line.indexOf("*/"); if (endIndex >= 0) { // End of /* */ comment slashStarSeen = false; if (endIndex < line.length() - 2) { // Some executable code after comment skippedLines--; beginning = false; } } } else if (line.length() == 0 || line.startsWith("//")) { skippedLines++; } else { beginning = false; } } lineCount++; index = next + 1; } doSmap(n, lineCount, 1, skippedLines); }	long method	Long method2 Feature envy	t	f	t			0	3519	https://github.com/apache/struts/blob/e82c5a207f62fdb1bb6e8da690325b5a109c924f/plugins/embeddedjsp/src/main/java/org/apache/struts2/jasper/compiler/SmapUtil.java/#L664-L704	2	345	3519
353	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3.Duplicated code, 4.Nested try/catch blocks, 5.Unused parameters, 6.Inconsistent naming conventions, 7.Hardcoded class names	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static Class findProviderClass(String className, ClassLoader cl, boolean doFallback) throws ClassNotFoundException, ConfigurationError { //throw security exception if the calling thread is not allowed to access the //class. Restrict the access to the package classes as specified in java.security policy. SecurityManager security = System.getSecurityManager(); try{ if (security != null){ final int lastDot = className.lastIndexOf('.'); String packageName = className; if (lastDot != -1) packageName = className.substring(0, lastDot); security.checkPackageAccess(packageName); } }catch(SecurityException e){ throw e; } Class providerClass; if (cl == null) { // XXX Use the bootstrap ClassLoader. There is no way to // load a class using the bootstrap ClassLoader that works // in both JDK 1.1 and Java 2. However, this should still // work b/c the following should be true: // // (cl == null) iff current ClassLoader == null // // Thus Class.forName(String) will use the current // ClassLoader which will be the bootstrap ClassLoader. providerClass = Class.forName(className); } else { try { providerClass = cl.loadClass(className); } catch (ClassNotFoundException x) { if (doFallback) { // Fall back to current classloader ClassLoader current = ObjectFactory.class.getClassLoader(); if (current == null) { providerClass = Class.forName(className); } else if (cl != current) { cl = current; providerClass = cl.loadClass(className); } else { throw x; } } else { throw x; } } } return providerClass; }	long method	Long method, 2Magic numbers, 3Duplicated code, 4Nested try/catch blocks, 5Unused parameters, 6Inconsistent naming conventions, 7Hardcoded class names	t	f	t	2.Magic numbers, 3.Duplicated code, 4.Nested try/catch blocks, 5.Unused parameters, 6.Inconsistent naming conventions, 7.Hardcoded class names		0	3634	https://github.com/apache/servicemix-bundles/blob/5f2c7727f71c167997947ad4604f9b8200952af2/xalan-2.7.2/src/main/java/org/apache/xalan/xsltc/runtime/ObjectFactory.java/#L477-L529	2	353	3634
1768	"YES I found bad smells Bad smells are: 1. Long method 2. Repeated code 3. Feature envy 4. Long parameter list 5. Primitive obsession	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void verifyRepository(RepositoryRequest request) throws AmbariException { URLStreamProvider usp = new URLStreamProvider(REPO_URL_CONNECT_TIMEOUT, REPO_URL_READ_TIMEOUT, null, null, null); usp.setSetupTruststoreForHttps(false); String repoName = request.getRepoName(); if (StringUtils.isEmpty(repoName)) { throw new IllegalArgumentException("repo_name is required to verify repository"); } String errorMessage = null; Exception e = null; String[] suffixes = configs.getRepoValidationSuffixes(request.getOsType()); for (String suffix : suffixes) { String formatted_suffix = String.format(suffix, repoName); String spec = request.getBaseUrl().trim(); // This logic is to identify if the end of baseurl has a slash ('/') and/or the beginning of suffix String (e.g. "/repodata/repomd.xml") // has a slash and they can form a good url. // e.g. "http://baseurl.com/" + "/repodata/repomd.xml" becomes "http://baseurl.com/repodata/repomd.xml" but not "http://baseurl.com//repodata/repomd.xml" if (spec.charAt(spec.length() - 1) != '/' && formatted_suffix.charAt(0) != '/') { spec = spec + "/" + formatted_suffix; } else if (spec.charAt(spec.length() - 1) == '/' && formatted_suffix.charAt(0) == '/') { spec = spec + formatted_suffix.substring(1); } else { spec = spec + formatted_suffix; } // if spec contains "file://" then check local file system. final String FILE_SCHEME = "file://"; if(spec.toLowerCase().startsWith(FILE_SCHEME)){ String filePath = spec.substring(FILE_SCHEME.length()); File f = new File(filePath); if(!f.exists()){ errorMessage = "Could not access base url . " + spec + " . "; e = new FileNotFoundException(errorMessage); break; } }else{ try { IOUtils.readLines(usp.readFrom(spec)); } catch (IOException ioe) { e = ioe; errorMessage = "Could not access base url . " + request.getBaseUrl() + " . "; if (LOG.isDebugEnabled()) { errorMessage += ioe; } else { errorMessage += ioe.getMessage(); } break; } } } if (e != null) { LOG.error(errorMessage); throw new IllegalArgumentException(errorMessage, e); } }	long method	Long method2 Repeated code3 Feature envy4 Long parameter list5 Primitive obsession	t	f	t			0	11914	https://github.com/apache/ambari/blob/2bc4779a1e6aabe638101fc8b0e28cd1963d6b13/ambari-server/src/main/java/org/apache/ambari/server/controller/AmbariManagementControllerImpl.java/#L4555-L4614	2	1768	11914
1800	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Inconsistent indentations 4. Magic numbers 5. Nested if statements 6. Complex boolean expressions 7. Hard-to-understand variable names 8. Unused variables	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: Type asTuple() { final Type result; if (types.size() == 0) { result = unit.getEmptyType(); } else { final Type sequentialType; if (variadic) { Part part = new Part("Sequence", Collections.singletonList(getLast())); sequentialType = loadType("ceylon.language", atLeastOne ? "ceylon.language.Sequence" : "ceylon.language.Sequential", part, null); } else { sequentialType = unit.getEmptyType(); } if (variadic && types.size() == 1) { result = sequentialType; } else { Part part = new Part(); // if we're variadic we put the element type there because we skip it below // if we're not variadic we are not going to skip it so let's not union it with itself Type union = variadic ? getLast() : null; Type tupleType = sequentialType; // A,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // A=,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // tupleType = [A,[B]|[]]|[] // A=,B* // union = B // tupleType = [B*] // t = A // union = A|B // tupleType = [A,[B*]] // tupleType = [A,[B*]]|[] int makeDefaulted = defaulted; for (int ii = types.size()-(variadic? 2 : 1); ii >= 0; ii--) { Type t = types.get(ii); // FIXME: subtyping in the type parser may cause issues if(union != null) // any second element (variadic or not) union = ModelUtil.unionType(union, t, unit); else union = t; // any first element part.parameters = Arrays.asList(union, t, tupleType); part.name = "Tuple"; tupleType = loadType("ceylon.language", "ceylon.language.Tuple", part, null); if(makeDefaulted > 0){ makeDefaulted--; tupleType = union(Arrays.asList(unit.getEmptyType(), tupleType), unit); } } result = tupleType; } } return result; }	long method	Long method 2 Duplicate code 3 Inconsistent indentations 4 Magic numbers 5 Nested if statements 6 Complex boolean expressions 7 Hard-to-understand variable names 8 Unused variables	t	f	t			0	12011	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/model/src/org/eclipse/ceylon/model/loader/TypeParser.java/#L431-L505	2	1800	12011
471	YES I found bad smells The bad smells are: 1. Long method 2. Repeated code 3. Feature envy 4. Switch statement 5. Magic numbers (e.g. 0, 1, 2) 6. Unused variable (_s) 7. Duplicate code within cases 8. Failed state tracking 9. Indentation issues 10. Unclear variable names and method names 11. Multiple return statements within cases	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	Long method2 Repeated code3 Feature envy4 Switch statement5 Magic numbers (eg 0,	t	f	t			0	4568	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	2	471	4568
1892	YES I found bad smells the bad smells are: 1.Long method, 2.Magic Number, 3.Duplicated code, 4.Data clumps, 5.Conditional complexity	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int next() { final int startNode = _startNode; if (_startNode == NULL) { return NULL; } int node = _currentNode; int expType; final int nodeType = _nodeType; if (nodeType != DTM.ELEMENT_NODE) { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType != nodeType); } // %OPT% If the start node is root (e.g. in the case of //node), // we can save the isDescendant() check, because all nodes are // descendants of root. else if (startNode == DTMDefaultBase.ROOTNODE) { do { node++; expType = _exptype2(node); if (NULL == expType) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } else { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } _currentNode = node; return returnNode(makeNodeHandle(node)); }	long method	Long method, 2Magic Number, 3Duplicated code, 4Data clumps, 5Conditional complexity	t	f	t	2.Magic Number, 3.Duplicated code, 4.Data clumps, 5.Conditional complexity		0	12318	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/xalan/third_party/android/platform/external/apache-xml/src/main/java/org/apache/xml/dtm/ref/sax2dtm/SAX2DTM2.java/#L1658-L1719	2	1892	12318
783	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: void cleanup() { for (final BundleWire requiredWire : requiredWires.getAllValues()) { final ConciergeBundleWiring bw = ((ConciergeBundleWire) requiredWire).providerWiring; if (bw != null) { bw.inUseSet.remove(revision); } } for (final BundleWire hostWire : providedWires .lookup(HostNamespace.HOST_NAMESPACE)) { final ConciergeBundleWiring bw = ((ConciergeBundleWire) hostWire).requirerWiring; if (bw != null) { bw.inUseSet.remove(revision); } } }	long method	Long method2 Feature envy	t	f	t			0	7493	https://github.com/eclipse/concierge/blob/4c73cacebc5ecbdef24d4256ab506359294f7a55/framework/org.eclipse.concierge/src/org/eclipse/concierge/Resources.java/#L626-L640	2	783	7493
883	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean optimizeForGoal(ClusterModel clusterModel, Goal goal, GoalViolations goalViolations, Set excludedBrokersForLeadership, Set excludedBrokersForReplicaMove) throws KafkaCruiseControlException { if (clusterModel.topics().isEmpty()) { LOG.info("Skipping goal violation detection because the cluster model does not have any topic."); return false; } Map> initReplicaDistribution = clusterModel.getReplicaDistribution(); Map initLeaderDistribution = clusterModel.getLeaderDistribution(); try { goal.optimize(clusterModel, new HashSet<>(), new OptimizationOptions(excludedTopics(clusterModel), excludedBrokersForLeadership, excludedBrokersForReplicaMove)); } catch (OptimizationFailureException ofe) { // An OptimizationFailureException indicates (1) a hard goal violation that cannot be fixed typically due to // lack of physical hardware (e.g. insufficient number of racks to satisfy rack awareness, insufficient number // of brokers to satisfy Replica Capacity Goal, or insufficient number of resources to satisfy resource // capacity goals), or (2) a failure to move offline replicas away from dead brokers/disks. goalViolations.addViolation(goal.name(), false); return true; } Set proposals = AnalyzerUtils.getDiff(initReplicaDistribution, initLeaderDistribution, clusterModel); LOG.trace("{} generated {} proposals", goal.name(), proposals.size()); if (!proposals.isEmpty()) { // A goal violation that can be optimized by applying the generated proposals. goalViolations.addViolation(goal.name(), true); return true; } else { // The goal is already satisfied. return false; } }	long method	Long method2 Feature envy	t	f	t			0	8029	https://github.com/linkedin/cruise-control/blob/d35af1b6d5a87046e6cd173948755a1e50faa531/cruise-control/src/main/java/com/linkedin/kafka/cruisecontrol/detector/GoalViolationDetector.java/#L217-L251	2	883	8029
35	{ "response": "YES I found bad smells", "bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static boolean resolveGenericRef(GenericRef ref, Class clazz, Type type) { if (type instanceof Class) { if (type == ref.ifaceClass) { // is this a straight ref or a TypeVariable? // debug("Found ref (as class): %s",toShortName(type)); ref.setGenericFromType(type,0); return true; } else { // Keep digging return resolveGenericRef(ref,type); } } if (type instanceof ParameterizedType) { ParameterizedType ptype = (ParameterizedType)type; Type rawType = ptype.getRawType(); if (rawType == ref.ifaceClass) { // debug("Found ref on [%s] as ParameterizedType [%s]",toShortName(clazz),toShortName(ptype)); // Always get the raw type parameter, let unwrap() solve for what it is ref.setGenericFromType(ptype.getActualTypeArguments()[0],0); return true; } else { // Keep digging return resolveGenericRef(ref,rawType); } } return false; }	long method	long method, feature envy	t	t	t	feature envy		0	743	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-websocket/websocket-common/src/main/java/org/eclipse/jetty/websocket/common/util/ReflectUtils.java/#L189-L225	2	35	743
3964	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: final protected Node internalRemoveNamedItemNS(String namespaceURI, String name, boolean raiseEx) { CoreDocumentImpl ownerDocument = ownerNode.ownerDocument(); if (ownerDocument.errorChecking && isReadOnly()) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NO_MODIFICATION_ALLOWED_ERR", null); throw new DOMException(DOMException.NO_MODIFICATION_ALLOWED_ERR, msg); } int i = findNamePoint(namespaceURI, name); if (i < 0) { if (raiseEx) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NOT_FOUND_ERR", null); throw new DOMException(DOMException.NOT_FOUND_ERR, msg); } else { return null; } } AttrImpl n = (AttrImpl)nodes.get(i); if (n.isIdAttribute()) { ownerDocument.removeIdentifier(n.getValue()); } // If there's a default, add it instead String nodeName = n.getNodeName(); if (hasDefaults()) { NamedNodeMapImpl defaults = ((ElementImpl) ownerNode).getDefaultAttributes(); Node d; if (defaults != null && (d = defaults.getNamedItem(nodeName)) != null) { int j = findNamePoint(nodeName,0); if (j>=0 && findNamePoint(nodeName, j+1) < 0) { NodeImpl clone = (NodeImpl)d.cloneNode(true); clone.ownerNode = ownerNode; if (d.getLocalName() != null) { // we must rely on the name to find a default attribute // ("test:attr"), but while copying it from the DOCTYPE // we should not loose namespace URI that was assigned // to the attribute in the instance document. ((AttrNSImpl)clone).namespaceURI = namespaceURI; } clone.isOwned(true); clone.isSpecified(false); nodes.set(i, clone); if (clone.isIdAttribute()) { ownerDocument.putIdentifier(clone.getNodeValue(), (ElementImpl)ownerNode); } } else { nodes.remove(i); } } else { nodes.remove(i); } } else { nodes.remove(i); } // changed(true); // remove reference to owner n.ownerNode = ownerDocument; n.isOwned(false); // make sure it won't be mistaken with defaults in case it's // reused n.isSpecified(true); // update id table if needed n.isIdAttribute(false); // notify document ownerDocument.removedAttrNode(n, ownerNode, name); return n; } // internalRemoveNamedItemNS(String,String,boolean):Node	long method	long method	t	t	t			0	10391	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/dom/AttributeMap.java/#L391-L467	1	3964	10391
756	{ "output": "YES I found bad smells", "bad smells are": "1. Long Method, 2. Data Class, 3. Blob" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String getVMPassword(final GetVMPasswordCmd cmd) { final Account caller = getCaller(); final UserVmVO vm = _userVmDao.findById(cmd.getId()); if (vm == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("No VM with specified id found."); ex.addProxyObject(cmd.getId().toString(), "vmId"); throw ex; } // make permission check _accountMgr.checkAccess(caller, null, true, vm); _userVmDao.loadDetails(vm); final String password = vm.getDetail("Encrypted.Password"); if (password == null || password.equals("")) { final InvalidParameterValueException ex = new InvalidParameterValueException( "No password for VM with specified id found. " + "If VM is created from password enabled template and SSH keypair is assigned to VM then only password can be retrieved."); ex.addProxyObject(vm.getUuid(), "vmId"); throw ex; } return password; }	long method	1. long method, 2. data class, 3. blob	t	t	t	2. data class, 3. blob		0	7049	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/server/ManagementServerImpl.java/#L3807-L3831	1	756	7049
3937	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	long method	t	t	t			0	10309	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	1	3937	10309
1343	{ "response": "YES I found bad smells", "detected_bad_smells": [ "1. Long Method", "2. Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	1. long method, 2. blob	t	t	t	2. blob		0	10745	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	1	1343	10745
2262	YES I found bad smells The bad smells are: 1. Long method 2. Duplicate code 3. Feature envy 4. Magic numbers 5. Nested loops 6. Conditional complexity 7. Misleading variable names 8. Hard-coded strings 9. Bad indentation and formatting	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean r_prelude() { int among_var; int v_1; int v_2; int v_3; int v_4; int v_5; // (, line 34 // test, line 35 v_1 = cursor; // repeat, line 35 replab0: while(true) { v_2 = cursor; lab1: do { // (, line 35 // [, line 36 bra = cursor; // substring, line 36 among_var = find_among(a_0, 7); if (among_var == 0) { break lab1; } // ], line 36 ket = cursor; switch(among_var) { case 0: break lab1; case 1: // (, line 37 // <-, line 37 slice_from("\u00E0"); break; case 2: // (, line 38 // <-, line 38 slice_from("\u00E8"); break; case 3: // (, line 39 // <-, line 39 slice_from("\u00EC"); break; case 4: // (, line 40 // <-, line 40 slice_from("\u00F2"); break; case 5: // (, line 41 // <-, line 41 slice_from("\u00F9"); break; case 6: // (, line 42 // <-, line 42 slice_from("qU"); break; case 7: // (, line 43 // next, line 43 if (cursor >= limit) { break lab1; } cursor++; break; } continue replab0; } while (false); cursor = v_2; break replab0; } cursor = v_1; // repeat, line 46 replab2: while(true) { v_3 = cursor; lab3: do { // goto, line 46 golab4: while(true) { v_4 = cursor; lab5: do { // (, line 46 if (!(in_grouping(g_v, 97, 249))) { break lab5; } // [, line 47 bra = cursor; // or, line 47 lab6: do { v_5 = cursor; lab7: do { // (, line 47 // literal, line 47 if (!(eq_s(1, "u"))) { break lab7; } // ], line 47 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab7; } // <-, line 47 slice_from("U"); break lab6; } while (false); cursor = v_5; // (, line 48 // literal, line 48 if (!(eq_s(1, "i"))) { break lab5; } // ], line 48 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab5; } // <-, line 48 slice_from("I"); } while (false); cursor = v_4; break golab4; } while (false); cursor = v_4; if (cursor >= limit) { break lab3; } cursor++; } continue replab2; } while (false); cursor = v_3; break replab2; } return true; }	long method	Long method2 Duplicate code3 Feature envy4 Magic numbers5 Nested loops6 Conditional complexity7 Misleading variable names8 Hard-coded strings9 Bad indentation and formatting	t	f	t			0	13720	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/common/src/java/org/tartarus/snowball/ext/ItalianStemmer.java/#L257-L401	2	2262	13720
4044	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final EObject ruleXOtherOperatorExpression() throws RecognitionException { EObject current = null; EObject this_XAdditiveExpression_0 = null; EObject lv_rightOperand_3_0 = null; enterRule(); try { // InternalXbase.g:873:2: ( (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) ) // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) { // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) // InternalXbase.g:875:3: this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getXAdditiveExpressionParserRuleCall_0()); } pushFollow(FOLLOW_14); this_XAdditiveExpression_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current = this_XAdditiveExpression_0; afterParserOrEnumRuleCall(); } // InternalXbase.g:883:3: ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* loop11: do { int alt11=2; alt11 = dfa11.predict(input); switch (alt11) { case 1 : // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) { // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) // InternalXbase.g:885:5: ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) { // InternalXbase.g:895:5: ( () ( ( ruleOpOther ) ) ) // InternalXbase.g:896:6: () ( ( ruleOpOther ) ) { // InternalXbase.g:896:6: () // InternalXbase.g:897:7: { if ( state.backtracking==0 ) { current = forceCreateModelElementAndSet( grammarAccess.getXOtherOperatorExpressionAccess().getXBinaryOperationLeftOperandAction_1_0_0_0(), current); } } // InternalXbase.g:903:6: ( ( ruleOpOther ) ) // InternalXbase.g:904:7: ( ruleOpOther ) { // InternalXbase.g:904:7: ( ruleOpOther ) // InternalXbase.g:905:8: ruleOpOther { if ( state.backtracking==0 ) { if (current==null) { current = createModelElement(grammarAccess.getXOtherOperatorExpressionRule()); } } if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getFeatureJvmIdentifiableElementCrossReference_1_0_0_1_0()); } pushFollow(FOLLOW_4); ruleOpOther(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { afterParserOrEnumRuleCall(); } } } } } // InternalXbase.g:921:4: ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) { // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) // InternalXbase.g:923:6: lv_rightOperand_3_0= ruleXAdditiveExpression { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getRightOperandXAdditiveExpressionParserRuleCall_1_1_0()); } pushFollow(FOLLOW_14); lv_rightOperand_3_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { if (current==null) { current = createModelElementForParent(grammarAccess.getXOtherOperatorExpressionRule()); } set( current, "rightOperand", lv_rightOperand_3_0, "org.eclipse.xtext.xbase.Xbase.XAdditiveExpression"); afterParserOrEnumRuleCall(); } } } } break; default : break loop11; } } while (true); } } if ( state.backtracking==0 ) { leaveRule(); } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	Long method2 Feature envy	t	f	t			0	10690	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/parser/antlr/internal/InternalXbaseParser.java/#L2675-L2841	2	4044	10690
4205	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static Class loadClass2(String className, Class callingClass) throws ClassNotFoundException { try { return Class.forName(className); } catch (ClassNotFoundException ex) { try { if (ClassLoaderUtils.class.getClassLoader() != null) { return ClassLoaderUtils.class.getClassLoader().loadClass(className); } } catch (ClassNotFoundException exc) { if (callingClass != null && callingClass.getClassLoader() != null) { return callingClass.getClassLoader().loadClass(className); } } LOG.debug(ex.getMessage(), ex); throw ex; } }	long method	long method	t	t	t			0	11065	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml.crypto/share/classes/com/sun/org/apache/xml/internal/security/c14n/ClassLoaderUtils.java/#L66-L83	1	4205	11065
254	{ "message": "YES I found bad smells", "bad smells are": ["1.Long method"] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List getOrderedLogFileIds() { File fileLogDir = new File(logDir); String[] logFileNames = null; List logFileIds = null; if (!fileLogDir.exists()) { LOGGER.log(Level.INFO, "log dir " + logDir + " doesn't exist. returning empty list"); return Collections.emptyList(); } if (!fileLogDir.isDirectory()) { throw new IllegalStateException("log dir " + logDir + " exists but it is not a directory"); } logFileNames = fileLogDir.list((dir, name) -> name.startsWith(logFilePrefix)); if (logFileNames == null) { throw new IllegalStateException("listing of log dir (" + logDir + ") files returned null. " + "Either an IO error occurred or the dir was just deleted by another process/thread"); } if (logFileNames.length == 0) { LOGGER.log(Level.INFO, "the log dir (" + logDir + ") is empty. returning empty list"); return Collections.emptyList(); } logFileIds = new ArrayList<>(); for (String fileName : logFileNames) { logFileIds.add(Long.parseLong(fileName.substring(logFilePrefix.length() + 1))); } logFileIds.sort(Long::compareTo); return logFileIds; }	long method	1.long method	t	t	t			0	2738	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-transactions/src/main/java/org/apache/asterix/transaction/management/service/logging/LogManager.java/#L440-L466	2	254	2738
1947	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private synchronized void checkHealth() { CalculatedStatus status = calculateStatus(); boolean healthy = status.isHealthy(); long now = System.currentTimeMillis(); if (healthy) { stateLastGood.set(now); if (lastPublished == LastPublished.FAILED) { if (currentRecoveryStartTime == null) { LOG.info("{} check for {}, now recovering: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing recovering: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentFailureStartTime != null) { LOG.info("{} check for {}, now healthy: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still healthy: {}", new Object[] {this, entity, getDescription(status)}); } } } else { stateLastFail.set(now); if (lastPublished != LastPublished.FAILED) { if (currentFailureStartTime == null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing failing: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentRecoveryStartTime != null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still failed: {}", new Object[] {this, entity, getDescription(status)}); } } } }	long method	Long method2 Feature envy	t	f	t			0	12523	https://github.com/apache/brooklyn-server/blob/880eb1da00f6358d7fd76d065322e3685bfb1a04/policy/src/main/java/org/apache/brooklyn/policy/ha/AbstractFailureDetector.java/#L223-L265	2	1947	12523
1239	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean equals(TListSentryPrivilegesRequest that) { if (that == null) return false; boolean this_present_protocol_version = true; boolean that_present_protocol_version = true; if (this_present_protocol_version || that_present_protocol_version) { if (!(this_present_protocol_version && that_present_protocol_version)) return false; if (this.protocol_version != that.protocol_version) return false; } boolean this_present_requestorUserName = true && this.isSetRequestorUserName(); boolean that_present_requestorUserName = true && that.isSetRequestorUserName(); if (this_present_requestorUserName || that_present_requestorUserName) { if (!(this_present_requestorUserName && that_present_requestorUserName)) return false; if (!this.requestorUserName.equals(that.requestorUserName)) return false; } boolean this_present_roleName = true && this.isSetRoleName(); boolean that_present_roleName = true && that.isSetRoleName(); if (this_present_roleName || that_present_roleName) { if (!(this_present_roleName && that_present_roleName)) return false; if (!this.roleName.equals(that.roleName)) return false; } boolean this_present_authorizableHierarchy = true && this.isSetAuthorizableHierarchy(); boolean that_present_authorizableHierarchy = true && that.isSetAuthorizableHierarchy(); if (this_present_authorizableHierarchy || that_present_authorizableHierarchy) { if (!(this_present_authorizableHierarchy && that_present_authorizableHierarchy)) return false; if (!this.authorizableHierarchy.equals(that.authorizableHierarchy)) return false; } return true; }	long method	long method, blob	t	t	t	blob		0	10404	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-provider/sentry-provider-db/src/gen/thrift/gen-javabean/org/apache/sentry/provider/db/service/thrift/TListSentryPrivilegesRequest.java/#L360-L401	1	1239	10404
829	YES I found bad smells the bad smells are: 1. Long method 2. Switch statement 3. Use of magic numbers for reader state checks 4. Use of super keyword without clear purpose/reasoning 5. Inconsistent formatting and indentation 6. Complex logic and potential for errors with multiple return statements and conditional checks within the method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean readFrom(ByteBuffer buf, MessageReader reader) { reader.setBuffer(buf); if (!reader.beforeMessageRead()) return false; if (!super.readFrom(buf, reader)) return false; switch (reader.state()) { case 3: futId = reader.readLong("futId"); if (!reader.isLastRead()) return false; reader.incrementState(); case 4: locksArr = reader.readObjectArray("locksArr", MessageCollectionItemType.MSG, TxLockList.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 5: nearTxKeysArr = reader.readObjectArray("nearTxKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 6: txKeysArr = reader.readObjectArray("txKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); } return reader.afterMessageRead(TxLocksResponse.class); }	long method	Long method2 Switch statement3 Use of magic numbers for reader state checks4 Use of super keyword without clear purpose/reasoning5 Inconsistent formatting and indentation6 Complex logic and potential for errors with multiple return statements and conditional checks within the method	t	f	t			0	7728	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/transactions/TxLocksResponse.java/#L272-L317	2	829	7728
2236	{ "answer": "YES I found bad smells, the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } sb.append(XMLHelper.escape(conf)); } if (prefix.endsWith("\"")) { sb.append("\""); } return sb.toString(); } /** * Writes the extra attributes of the given {@link ExtendableItem} to the given * PrintWriter. * * @param item * the {@link ExtendableItem}, cannot be null * @param out * the writer to use * @param prefix * the string to write before writing the attributes (if any)	long method	1. long method	t	t	t			0	13611	https://github.com/apache/ant-ivy/blob/4ffcf8f06f238b17e78e8033c3e8278833e452eb/src/java/org/apache/ivy/plugins/parser/xml/XmlModuleDescriptorWriter.java/#L209-L227	1	2236	13611
1829	{"response": "YES I found bad smells", "bad smells are": ["1. Long Method", "2. Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static byte[] getIP() { try { Enumeration allNetInterfaces = NetworkInterface.getNetworkInterfaces(); InetAddress ip = null; byte[] internalIP = null; while (allNetInterfaces.hasMoreElements()) { NetworkInterface netInterface = (NetworkInterface) allNetInterfaces.nextElement(); Enumeration addresses = netInterface.getInetAddresses(); while (addresses.hasMoreElements()) { ip = (InetAddress) addresses.nextElement(); if (ip != null && ip instanceof Inet4Address) { byte[] ipByte = ip.getAddress(); if (ipByte.length == 4) { if (ipCheck(ipByte)) { if (!isInternalIP(ipByte)) { return ipByte; } else if (internalIP == null) { internalIP = ipByte; } } } } } } if (internalIP != null) { return internalIP; } else { throw new RuntimeException("Can not get local ip"); } } catch (Exception e) { throw new RuntimeException("Can not get local ip", e); } }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	12118	https://github.com/apache/rocketmq/blob/971fa8ed8b209b39bdfe41c57cd64576d244e6bd/common/src/main/java/org/apache/rocketmq/common/UtilAll.java/#L484-L516	1	1829	12118
2306	YES I found bad smells" 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean optimizeForGoal(ClusterModel clusterModel, Goal goal, GoalViolations goalViolations, Set excludedBrokersForLeadership, Set excludedBrokersForReplicaMove) throws KafkaCruiseControlException { if (clusterModel.topics().isEmpty()) { LOG.info("Skipping goal violation detection because the cluster model does not have any topic."); return false; } Map> initReplicaDistribution = clusterModel.getReplicaDistribution(); Map initLeaderDistribution = clusterModel.getLeaderDistribution(); try { goal.optimize(clusterModel, new HashSet<>(), new OptimizationOptions(excludedTopics(clusterModel), excludedBrokersForLeadership, excludedBrokersForReplicaMove)); } catch (OptimizationFailureException ofe) { // An OptimizationFailureException indicates (1) a hard goal violation that cannot be fixed typically due to // lack of physical hardware (e.g. insufficient number of racks to satisfy rack awareness, insufficient number // of brokers to satisfy Replica Capacity Goal, or insufficient number of resources to satisfy resource // capacity goals), or (2) a failure to move offline replicas away from dead brokers/disks. goalViolations.addViolation(goal.name(), false); return true; } Set proposals = AnalyzerUtils.getDiff(initReplicaDistribution, initLeaderDistribution, clusterModel); LOG.trace("{} generated {} proposals", goal.name(), proposals.size()); if (!proposals.isEmpty()) { // A goal violation that can be optimized by applying the generated proposals. goalViolations.addViolation(goal.name(), true); return true; } else { // The goal is already satisfied. return false; } }	long method	Long method 2 Feature envy	t	f	t			0	14069	https://github.com/linkedin/cruise-control/blob/d35af1b6d5a87046e6cd173948755a1e50faa531/cruise-control/src/main/java/com/linkedin/kafka/cruisecontrol/detector/GoalViolationDetector.java/#L217-L251	2	2306	14069
1484	YES I found bad smells the bad smells are: Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public WikiPage getPageInfo( String page, int version ) throws ProviderException { int latest = findLatestVersion(page); int realVersion; WikiPage p = null; if( version == WikiPageProvider.LATEST_VERSION || version == latest || (version == 1 && latest == -1) ) { // // Yes, we need to talk to the top level directory // to get this version. // // I am listening to Press Play On Tape's guitar version of // the good old C64 "Wizardry" -tune at this moment. // Oh, the memories... // realVersion = (latest >= 0) ? latest : 1; p = super.getPageInfo( page, WikiPageProvider.LATEST_VERSION ); if( p != null ) { p.setVersion( realVersion ); } } else { // // The file is not the most recent, so we'll need to // find it from the deep trenches of the "OLD" directory // structure. // realVersion = version; File dir = findOldPageDir( page ); if( !dir.exists() || !dir.isDirectory() ) { return null; } File file = new File( dir, version+FILE_EXT ); if( file.exists() ) { p = new WikiPage( m_engine, page ); p.setLastModified( new Date(file.lastModified()) ); p.setVersion( version ); } } // // Get author and other metadata information // (Modification date has already been set.) // if( p != null ) { try { Properties props = getPageProperties( page ); String author = props.getProperty( realVersion+".author" ); if ( author == null ) { // we might not have a versioned author because the // old page was last maintained by FileSystemProvider Properties props2 = getHeritagePageProperties( page ); author = props2.getProperty( WikiPage.AUTHOR ); } if ( author != null ) { p.setAuthor( author ); } String changenote = props.getProperty( realVersion+".changenote" ); if( changenote != null ) p.setAttribute( WikiPage.CHANGENOTE, changenote ); // Set the props values to the page attributes setCustomProperties(p, props); } catch( IOException e ) { log.error( "Cannot get author for page"+page+": ", e ); } } return p; }	long method	Long method	t	f	t			0	11088	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/providers/VersioningFileProvider.java/#L540-L631	2	1484	11088
491	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void initializeOp(Configuration hconf) throws HiveException { // If there is a sort-merge join followed by a regular join, the SMBJoinOperator may not // get initialized at all. Consider the following query: // A SMB B JOIN C // For the mapper processing C, The SMJ is not initialized, no need to close it either. initDone = true; super.initializeOp(hconf); closeCalled = false; this.firstFetchHappened = false; this.inputFileChanged = false; // get the largest table alias from order int maxAlias = 0; for (byte pos = 0; pos < order.length; pos++) { if (pos > maxAlias) { maxAlias = pos; } } maxAlias += 1; nextGroupStorage = new RowContainer[maxAlias]; candidateStorage = new RowContainer[maxAlias]; keyWritables = new ArrayList[maxAlias]; nextKeyWritables = new ArrayList[maxAlias]; fetchDone = new boolean[maxAlias]; foundNextKeyGroup = new boolean[maxAlias]; int bucketSize; // For backwards compatibility reasons we honor the older // HIVEMAPJOINBUCKETCACHESIZE if set different from default. // By hive 0.13 we should remove this code. int oldVar = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEMAPJOINBUCKETCACHESIZE); if (oldVar != 100) { bucketSize = oldVar; } else { bucketSize = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVESMBJOINCACHEROWS); } for (byte pos = 0; pos < order.length; pos++) { RowContainer> rc = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); nextGroupStorage[pos] = rc; RowContainer> candidateRC = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); candidateStorage[pos] = candidateRC; } tagToAlias = conf.convertToArray(conf.getTagToAlias(), String.class); for (byte pos = 0; pos < order.length; pos++) { if (pos != posBigTable) { fetchDone[pos] = false; } foundNextKeyGroup[pos] = false; } }	long method	Long method2 Feature envy	t	f	t			0	4899	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/SMBMapJoinOperator.java/#L102-L166	2	491	4899
2221	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @MultiMQAdminCmdMethod public Map resetOffset(ResetOffsetRequest resetOffsetRequest) { Map groupRollbackStats = Maps.newHashMap(); for (String consumerGroup : resetOffsetRequest.getConsumerGroupList()) { try { Map rollbackStatsMap = mqAdminExt.resetOffsetByTimestamp(resetOffsetRequest.getTopic(), consumerGroup, resetOffsetRequest.getResetTime(), resetOffsetRequest.isForce()); ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = consumerGroupRollBackStat.getRollbackStatsList(); for (Map.Entry rollbackStatsEntty : rollbackStatsMap.entrySet()) { RollbackStats rollbackStats = new RollbackStats(); rollbackStats.setRollbackOffset(rollbackStatsEntty.getValue()); rollbackStats.setQueueId(rollbackStatsEntty.getKey().getQueueId()); rollbackStats.setBrokerName(rollbackStatsEntty.getKey().getBrokerName()); rollbackStatsList.add(rollbackStats); } groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); } catch (MQClientException e) { if (ResponseCode.CONSUMER_NOT_ONLINE == e.getResponseCode()) { try { ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = mqAdminExt.resetOffsetByTimestampOld(consumerGroup, resetOffsetRequest.getTopic(), resetOffsetRequest.getResetTime(), true); consumerGroupRollBackStat.setRollbackStatsList(rollbackStatsList); groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); continue; } catch (Exception err) { logger.error("op=resetOffset_which_not_online_error", err); } } else { logger.error("op=resetOffset_error", e); } groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } catch (Exception e) { logger.error("op=resetOffset_error", e); groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } } return groupRollbackStats; }	long method	long method, feature envy	t	t	t	feature envy		0	13553	https://github.com/apache/rocketmq-externals/blob/dba6eb0c997d5c325f26b3d1da9d739d927228dc/rocketmq-console/src/main/java/org/apache/rocketmq/console/service/impl/ConsumerServiceImpl.java/#L208-L251	1	2221	13553
2699	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean isExists(Object identifier) throws AppCatalogException { HashMap ids; if (identifier instanceof Map) { ids = (HashMap) identifier; } else { logger.error("Identifier should be a map with the field name and it's value"); throw new AppCatalogException("Identifier should be a map with the field name and it's value"); } EntityManager em = null; try { em = AppCatalogJPAUtils.getEntityManager(); ComputeResourcePreference existingPreference = em.find(ComputeResourcePreference.class, new ComputeResourcePreferencePK(ids.get(ComputeResourcePreferenceConstants.GATEWAY_ID), ids.get(ComputeResourcePreferenceConstants.RESOURCE_ID))); if (em.isOpen()) { if (em.getTransaction().isActive()){ em.getTransaction().rollback(); } em.close(); } return existingPreference != null; }catch (Exception e) { logger.error(e.getMessage(), e); throw new AppCatalogException(e); } finally { if (em != null && em.isOpen()) { if (em.getTransaction().isActive()) { em.getTransaction().rollback(); } em.close(); } } }	long method	Long method2 Feature envy	t	f	t			0	15326	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-core/src/main/java/org/apache/airavata/registry/core/app/catalog/resources/ComputeHostPreferenceResource.java/#L522-L556	2	2699	15326
1224	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	long method	t	t	t			0	10343	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	1	1224	10343
2149	YES I found bad smells the bad smells are: 1.Feature envy, 2.Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static RuleSet parse(final Reader configReader, EventLoggerProvider eventLogger) { RuleSetCreator ruleSetCreator = new RuleSetCreator(); int line = 0; try(Reader fileReader = configReader) { LOGGER.debug("About to load ACL file"); StreamTokenizer tokenizer = new StreamTokenizer(new BufferedReader(fileReader)); tokenizer.resetSyntax(); // setup the tokenizer tokenizer.commentChar(COMMENT); // single line comments tokenizer.eolIsSignificant(true); // return EOL as a token tokenizer.ordinaryChar('='); // equals is a token tokenizer.ordinaryChar(CONTINUATION); // continuation character (when followed by EOL) tokenizer.quoteChar('"'); // double quote tokenizer.quoteChar('\''); // single quote tokenizer.whitespaceChars('\u0000', '\u0020'); // whitespace (to be ignored) TODO properly tokenizer.wordChars('a', 'z'); // unquoted token characters [a-z] tokenizer.wordChars('A', 'Z'); // [A-Z] tokenizer.wordChars('0', '9'); // [0-9] tokenizer.wordChars('_', '_'); // underscore tokenizer.wordChars('-', '-'); // dash tokenizer.wordChars('.', '.'); // dot tokenizer.wordChars('*', '*'); // star tokenizer.wordChars('@', '@'); // at tokenizer.wordChars(':', ':'); // colon // parse the acl file lines Stack stack = new Stack<>(); int current; do { current = tokenizer.nextToken(); line = tokenizer.lineno()-1; switch (current) { case StreamTokenizer.TT_EOF: case StreamTokenizer.TT_EOL: if (stack.isEmpty()) { break; // blank line } // pull out the first token from the bottom of the stack and check arguments exist String first = stack.firstElement(); stack.removeElementAt(0); if (stack.isEmpty()) { throw new IllegalConfigurationException(String.format(NOT_ENOUGH_TOKENS_MSG, line)); } // check for and parse optional initial number for ACL lines Integer number = null; if (first != null && first.matches("\\d+")) { // set the acl number and get the next element number = Integer.valueOf(first); first = stack.firstElement(); stack.removeElementAt(0); } if (ACL.equalsIgnoreCase(first)) { parseAcl(number, stack, ruleSetCreator, line); } else if (number == null) { if("GROUP".equalsIgnoreCase(first)) { throw new IllegalConfigurationException(String.format("GROUP keyword not supported at " + "line %d. Groups should defined " + "via a Group Provider, not in " + "the ACL file.", line)); } else if (CONFIG.equalsIgnoreCase(first)) { parseConfig(stack, ruleSetCreator, line); } else { throw new IllegalConfigurationException(String.format(UNRECOGNISED_INITIAL_MSG, first, line)); } } else { throw new IllegalConfigurationException(String.format(NUMBER_NOT_ALLOWED_MSG, first, line)); } // reset stack, start next line stack.clear(); break; case StreamTokenizer.TT_NUMBER: stack.push(Integer.toString(Double.valueOf(tokenizer.nval).intValue())); break; case StreamTokenizer.TT_WORD: stack.push(tokenizer.sval); // token break; default: if (tokenizer.ttype == CONTINUATION) { int next = tokenizer.nextToken(); line = tokenizer.lineno()-1; if (next == StreamTokenizer.TT_EOL) { break; // continue reading next line } // invalid location for continuation character (add one to line because we ate the EOL) throw new IllegalConfigurationException(String.format(PREMATURE_CONTINUATION_MSG, line + 1)); } else if (tokenizer.ttype == '\'' || tokenizer.ttype == '"') { stack.push(tokenizer.sval); // quoted token } else { stack.push(Character.toString((char) tokenizer.ttype)); // single character } } } while (current != StreamTokenizer.TT_EOF); if (!stack.isEmpty()) { throw new IllegalConfigurationException(String.format(PREMATURE_EOF_MSG, line)); } } catch (IllegalArgumentException iae) { throw new IllegalConfigurationException(String.format(PARSE_TOKEN_FAILED_MSG, line), iae); } catch (IOException ioe) { throw new IllegalConfigurationException(CANNOT_LOAD_MSG, ioe); } return ruleSetCreator.createRuleSet(eventLogger); }	long method	Feature envy, 2Long method	t	f	t	.Feature envy		0	13283	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-plugins/access-control/src/main/java/org/apache/qpid/server/security/access/config/AclFileParser.java/#L113-L249	2	2149	13283
1309	YES I found bad smells the bad smells are: 1. Feature envy: The method "toBulkOperation" contains a lot of code that is dependent on other classes, indicating a potential feature envy smell. 2. Long method: The method "toBulkOperation" is quite long and contains multiple branches and nested logic, indicating a potential long method smell.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected SQLBuffer toBulkOperation(ClassMapping mapping, Select sel, JDBCStore store, Object[] params, Map updateParams) { SQLBuffer sql = new SQLBuffer(this); if (updateParams == null) { if (requiresTargetForDelete) { sql.append("DELETE "); SQLBuffer deleteTargets = getDeleteTargets(sel); sql.append(deleteTargets); sql.append(" FROM "); } else { sql.append("DELETE FROM "); } } else sql.append("UPDATE "); sel.addJoinClassConditions(); // if there is only a single table in the select, then we can // just issue a single DELETE FROM TABLE WHERE // statement; otherwise, since SQL doesn't allow deleting // from one of a multi-table select, we need to issue a subselect // like DELETE FROM TABLE WHERE EXISTS // (SELECT 1 FROM TABLE t0 WHERE t0.ID = TABLE.ID); also, some // databases do not allow aliases in delete statements, which // also causes us to use a subselect Collection selectedTables = getSelectTableAliases(sel); if (selectedTables.size() == 1 && supportsSubselect && allowsAliasInBulkClause) { SQLBuffer from; if (sel.getFromSelect() != null) from = getFromSelect(sel, false); else from = getFrom(sel, false); sql.append(from); appendUpdates(sel, store, sql, params, updateParams, allowsAliasInBulkClause); SQLBuffer where = sel.getWhere(); if (where != null && !where.isEmpty()) { sql.append(" WHERE "); sql.append(where); } return sql; } Table table = mapping.getTable(); String tableName = getFullName(table, false); // only use a subselect if the where is not empty; otherwise // an unqualified delete or update will work if (sel.getWhere() == null || sel.getWhere().isEmpty()) { sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); return sql; } // we need to use a subselect if we are to bulk delete where // the select includes multiple tables; if the database // doesn't support it, then we need to signal this by returning null if (!supportsSubselect || !supportsCorrelatedSubselect) return null; Column[] pks = mapping.getPrimaryKeyColumns(); sel.clearSelects(); sel.setDistinct(true); // if we have only a single PK, we can use a non-correlated // subquery (using an IN statement), which is much faster than // a correlated subquery (since a correlated subquery needs // to be executed once for each row in the table) if (pks.length == 1) { sel.select(pks[0]); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE "). append(pks[0]).append(" IN ("). append(sel.toSelect(false, null)).append(")"); } else { sel.clearSelects(); sel.setDistinct(false); // since the select is using a correlated subquery, we // only need to select a bogus virtual column sel.select("1", null); // add in the joins to the table Column[] cols = table.getPrimaryKey().getColumns(); SQLBuffer buf = new SQLBuffer(this); buf.append("("); for (int i = 0; i < cols.length; i++) { if (i > 0) buf.append(" AND "); // add in "t0.PK = MYTABLE.PK" buf.append(sel.getColumnAlias(cols[i])).append(" = "). append(table).append(catalogSeparator).append(cols[i]); } buf.append(")"); sel.where(buf, null); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE EXISTS ("). append(sel.toSelect(false, null)).append(")"); } return sql; }	long method	Feature envy: The method "toBulkOperation" contains a lot of code that is dependent on other classes, indicating a potential feature envy smell2 Long method: The method "toBulkOperation" is quite long and contains multiple branches and nested logic, indicating a potential long method smell	t	f	t	. Feature envy: The method "toBulkOperation" contains a lot of code that is dependent on other classes		0	10679	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DBDictionary.java/#L2243-L2350	2	1309	10679
1547	YES I found bad smells, the bad smells are: 1. Long method 2. Feature envy 3. Inconsistent naming conventions (some elements and attributes use uppercase while others use lowercase) 4. Magic numbers (numerical values assigned without explanation) 5. Use of ArrayList instead of List interface 6. Use of comment block instead of proper documentation 7. Overloaded constructor with multiple arguments 8. Boolean flag parameters in addAttribute() method 9. Large number of parameters in addElement() and addAttribute() methods 10. Hard-coded values instead of using constants or variables 11. Unused variables/reserved word "res" 12. Poorly named variables (e.g. "cod	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private JPEGImageMetadataFormat() { super(JPEG.nativeImageMetadataFormatName, CHILD_POLICY_ALL); addElement("JPEGvariety", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_CHOICE); addElement("markerSequence", JPEG.nativeImageMetadataFormatName, CHILD_POLICY_SEQUENCE); addElement("app0JFIF", "JPEGvariety", CHILD_POLICY_SOME); addStreamElements("markerSequence"); addElement("app14Adobe", "markerSequence", CHILD_POLICY_EMPTY); addElement("sof", "markerSequence", 1, 4); addElement("sos", "markerSequence", 1, 4); addElement("JFXX", "app0JFIF", 1, Integer.MAX_VALUE); addElement("app0JFXX", "JFXX", CHILD_POLICY_CHOICE); addElement("app2ICC", "app0JFIF", CHILD_POLICY_EMPTY); addAttribute("app0JFIF", "majorVersion", DATATYPE_INTEGER, false, "1", "0", "255", true, true); addAttribute("app0JFIF", "minorVersion", DATATYPE_INTEGER, false, "2", "0", "255", true, true); List resUnits = new ArrayList<>(); resUnits.add("0"); resUnits.add("1"); resUnits.add("2"); addAttribute("app0JFIF", "resUnits", DATATYPE_INTEGER, false, "0", resUnits); addAttribute("app0JFIF", "Xdensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "Ydensity", DATATYPE_INTEGER, false, "1", "1", "65535", true, true); addAttribute("app0JFIF", "thumbWidth", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addAttribute("app0JFIF", "thumbHeight", DATATYPE_INTEGER, false, "0", "0", "255", true, true); addElement("JFIFthumbJPEG", "app0JFXX", CHILD_POLICY_SOME); addElement("JFIFthumbPalette", "app0JFXX", CHILD_POLICY_EMPTY); addElement("JFIFthumbRGB", "app0JFXX", CHILD_POLICY_EMPTY); List codes = new ArrayList<>(); codes.add("16"); // Hex 10 codes.add("17"); // Hex 11 codes.add("19"); // Hex 13 addAttribute("app0JFXX", "extensionCode", DATATYPE_INTEGER, false, null, codes); addChildElement("markerSequence", "JFIFthumbJPEG"); addAttribute("JFIFthumbPalette", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbPalette", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbWidth", DATATYPE_INTEGER, false, null, "0", "255", true, true); addAttribute("JFIFthumbRGB", "thumbHeight", DATATYPE_INTEGER, false, null, "0", "255", true, true); addObjectValue("app2ICC", ICC_Profile.class, false, null); addAttribute("app14Adobe", "version", DATATYPE_INTEGER, false, "100", "100", "255", true, true); addAttribute("app14Adobe", "flags0", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); addAttribute("app14Adobe", "flags1", DATATYPE_INTEGER, false, "0", "0", "65535", true, true); List transforms = new ArrayList<>(); transforms.add("0"); transforms.add("1"); transforms.add("2"); addAttribute("app14Adobe", "transform", DATATYPE_INTEGER, true, null, transforms); addElement("componentSpec", "sof", CHILD_POLICY_EMPTY); List procs = new ArrayList<>(); procs.add("0"); procs.add("1"); procs.add("2"); addAttribute("sof", "process", DATATYPE_INTEGER, false, null, procs); addAttribute("sof", "samplePrecision", DATATYPE_INTEGER, false, "8"); addAttribute("sof", "numLines", DATATYPE_INTEGER, false, null, "0", "65535", true, true); addAttribute("sof", "samplesPerLine", DATATYPE_INTEGER, false, null, "0", "65535", true, true); List comps = new ArrayList<>(); comps.add("1"); comps.add("2"); comps.add("3"); comps.add("4"); addAttribute("sof", "numFrameComponents", DATATYPE_INTEGER, false, null, comps); addAttribute("componentSpec", "componentId", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("componentSpec", "HsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); addAttribute("componentSpec", "VsamplingFactor", DATATYPE_INTEGER, true, null, "1", "255", true, true); List tabids = new ArrayList<>(); tabids.add("0"); tabids.add("1"); tabids.add("2"); tabids.add("3"); addAttribute("componentSpec", "QtableSelector", DATATYPE_INTEGER, true, null, tabids); addElement("scanComponentSpec", "sos", CHILD_POLICY_EMPTY); addAttribute("sos", "numScanComponents", DATATYPE_INTEGER, true, null, comps); addAttribute("sos", "startSpectralSelection", DATATYPE_INTEGER, false, "0", "0", "63", true, true); addAttribute("sos", "endSpectralSelection", DATATYPE_INTEGER, false, "63", "0", "63", true, true); addAttribute("sos", "approxHigh", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("sos", "approxLow", DATATYPE_INTEGER, false, "0", "0", "15", true, true); addAttribute("scanComponentSpec", "componentSelector", DATATYPE_INTEGER, true, null, "0", "255", true, true); addAttribute("scanComponentSpec", "dcHuffTable", DATATYPE_INTEGER, true, null, tabids); addAttribute("scanComponentSpec", "acHuffTable", DATATYPE_INTEGER, true, null, tabids); }	long method	Long method2 Feature envy3 Inconsistent naming conventions (some elements and attributes use uppercase while others use lowercase)4 Magic numbers (numerical values assigned without explanation)5 Use of ArrayList instead of List interface6 Use of comment block instead of proper documentation 7 Overloaded constructor with multiple arguments 8 Boolean flag parameters in addAttribute() method 9 Large number of parameters in addElement() and addAttribute() methods	t	f	t			0	11256	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/com/sun/imageio/plugins/jpeg/JPEGImageMetadataFormat.java/#L43-L338	2	1547	11256
632	{"message": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int hashCode() { int hash = 37; if ( baseDn != null ) { hash = hash * 17 + baseDn.hashCode(); } hash = hash * 17 + aliasDerefMode.hashCode(); hash = hash * 17 + scope.hashCode(); hash = hash * 17 + Long.valueOf( sizeLimit ).hashCode(); hash = hash * 17 + timeLimit; hash = hash * 17 + ( typesOnly ? 0 : 1 ); if ( attributes != null ) { hash = hash * 17 + attributes.size(); // Order doesn't matter, thus just add hashCode for ( String attr : attributes ) { if ( attr != null ) { hash = hash + attr.hashCode(); } } } BranchNormalizedVisitor visitor = new BranchNormalizedVisitor(); filterNode.accept( visitor ); hash = hash * 17 + filterNode.toString().hashCode(); hash = hash * 17 + super.hashCode(); return hash; }	long method	long method	t	t	t			0	6293	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/message/SearchRequestImpl.java/#L373-L409	1	632	6293
36	{ "response": "YES I found bad smells", "bad smells are": [ "Long method" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("unused") private String format(String s, Object[] arguments) { if (arguments == null) { return s; } // A very simple implementation of format int i = 0; while (i < arguments.length) { String delimiter = "{" + i + "}"; while (s.contains(delimiter)) { s = s.replace(delimiter, String.valueOf(arguments[i])); } i++; } return s; }	long method	long method	t	t	t			0	754	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.web2/src/main/java/org/eclipse/kura/web/shared/GwtKuraException.java/#L148-L165	2	36	754
631	{ "output": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: TreeNodeChildren(final TreeNode parent, final Object metadata, final PropertyAccessor accessor) { this.parent = parent; this.metadata = metadata; this.accessor = accessor; this.children = new TreeNode[accessor.count()]; /* * Search for something that looks like the main property, to be associated with the parent node * instead than provided as a child. The intent is to have more compact and easy to read trees. * That property shall be a singleton for a simple value (not another metadata object). */ if (parent.table.valuePolicy == ValueExistencePolicy.COMPACT) { TitleProperty an = accessor.implementation.getAnnotation(TitleProperty.class); if (an == null) { Class implementation = parent.table.standard.getImplementation(accessor.type); if (implementation != null) { an = implementation.getAnnotation(TitleProperty.class); } } if (an != null) { final int index = accessor.indexOf(an.name(), false); final Class type = accessor.type(index, TypeValuePolicy.ELEMENT_TYPE); if (type != null && !parent.isMetadata(type) && type == accessor.type(index, TypeValuePolicy.PROPERTY_TYPE)) { titleProperty = index; return; } } } titleProperty = -1; }	long method	long method, feature envy	t	t	t	feature envy		0	6291	https://github.com/apache/sis/blob/002121abc9b9826fbd51fac7150b3ee0c02cc88b/core/sis-metadata/src/main/java/org/apache/sis/metadata/TreeNodeChildren.java/#L137-L165	1	631	6291
5648	{ "message": "YES I found bad smells", "bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void setOptionalAttribute(BeanDefinitionBuilder builder, Map providedProperties, String propertyPrefix, String attributeValue, String attributeName) { String propertyKey; if ("username".equals(attributeName)) { String userKey = (propertyPrefix != null ? propertyPrefix + "user" : "user"); if (providedProperties.containsKey(userKey)) { propertyKey = userKey; } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeName : attributeName); } } else { propertyKey = (propertyPrefix != null ? propertyPrefix + attributeToPropertyMap.get(attributeName) : attributeToPropertyMap.get(attributeName)); } if (StringUtils.hasText(attributeValue)) { if (logger.isDebugEnabled()) { if ("password".equals(attributeName)) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value ******"); } else { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with attribute value " + attributeValue); } } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), attributeValue); } else if (providedProperties.containsKey(propertyKey)) { if (logger.isDebugEnabled()) { logger.debug("Registering optional attribute " + attributeToPropertyMap.get(attributeName) + " with property value " + ("password".equals(attributeName) ? "******" : providedProperties.get(propertyKey))); } builder.addPropertyValue(attributeToPropertyMap.get(attributeName), providedProperties.get(propertyKey)); } removeProvidedProperty(providedProperties, propertyKey); }	long method	long method, feature envy	t	t	t	feature envy		0	11201	https://github.com/spring-projects/spring-data-jdbc-ext/blob/9f19335f6f776ad36158cfaa0f5aad64333ce988/spring-data-oracle/src/main/java/org/springframework/data/jdbc/config/oracle/PoolingDataSourceBeanDefinitionParser.java/#L341-L388	2	5648	11201
635	{ "message": "YES I found bad smells", "detected_bad_smells": "The bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean configureHA(final Long resourceId, final HAResource.ResourceType resourceType, final Boolean enable, final String haProvider) { return Transaction.execute(new TransactionCallback() { @Override public Boolean doInTransaction(TransactionStatus status) { HAConfigVO haConfig = (HAConfigVO) haConfigDao.findHAResource(resourceId, resourceType); if (haConfig == null) { haConfig = new HAConfigVO(); if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (enable != null) { haConfig.setEnabled(enable); haConfig.setManagementServerId(ManagementServerNode.getManagementServerId()); } haConfig.setResourceId(resourceId); haConfig.setResourceType(resourceType); if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } if (haConfigDao.persist(haConfig) != null) { return true; } } else { if (enable != null) { haConfig.setEnabled(enable); } if (haProvider != null) { haConfig.setHaProvider(haProvider); } if (Strings.isNullOrEmpty(haConfig.getHaProvider())) { throw new ServerApiException(ApiErrorCode.PARAM_ERROR, "HAProvider is not provided for the resource, failing configuration."); } return haConfigDao.update(haConfig.getId(), haConfig); } return false; } }); }	long method	the bad smells are: 1. long method	t	t	t			0	6305	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/org/apache/cloudstack/ha/HAManagerImpl.java/#L337-L374	1	635	6305
3794	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Map< String, String > listLanguages(PageContext pageContext) { Map< String, String > resultMap = new LinkedHashMap<>(); String clientLanguage = ((HttpServletRequest) pageContext.getRequest()).getLocale().toString(); List< String > entries = ClassUtil.classpathEntriesUnder( DIRECTORY ); for( String name : entries ) { if ( name.equals( I18NRESOURCE_EN ) || (name.startsWith( I18NRESOURCE_PREFIX ) && name.endsWith( I18NRESOURCE_SUFFIX ) ) ) { if (name.equals( I18NRESOURCE_EN )) { name = I18NRESOURCE_EN_ID; } else { name = name.substring(I18NRESOURCE_PREFIX.length(), name.lastIndexOf(I18NRESOURCE_SUFFIX)); } Locale locale = new Locale(name.substring(0, 2), ((name.indexOf("_") == -1) ? "" : name.substring(3, 5))); String defaultLanguage = ""; if (clientLanguage.startsWith(name)) { defaultLanguage = LocaleSupport.getLocalizedMessage(pageContext, I18NDEFAULT_LOCALE); } resultMap.put(name, locale.getDisplayName(locale) + " " + defaultLanguage); } } return resultMap; }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	9585	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/ui/TemplateManager.java/#L420-L446	2	3794	9585
2901	{"message": "YES I found bad smells", "bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, WMTrigger struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RESOURCE_PLAN_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.resourcePlanName = iprot.readString(); struct.setResourcePlanNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // TRIGGER_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerName = iprot.readString(); struct.setTriggerNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // TRIGGER_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerExpression = iprot.readString(); struct.setTriggerExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // ACTION_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.actionExpression = iprot.readString(); struct.setActionExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 5: // IS_IN_UNMANAGED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.isInUnmanaged = iprot.readBool(); struct.setIsInUnmanagedIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 6: // NS if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.ns = iprot.readString(); struct.setNsIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); struct.validate(); }	long method	long method, data class	t	t	t	data class		0	2195	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/WMTrigger.java/#L733-L798	1	2901	2195
756	YES I found bad smells the bad smells are: Long method, Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public String getVMPassword(final GetVMPasswordCmd cmd) { final Account caller = getCaller(); final UserVmVO vm = _userVmDao.findById(cmd.getId()); if (vm == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("No VM with specified id found."); ex.addProxyObject(cmd.getId().toString(), "vmId"); throw ex; } // make permission check _accountMgr.checkAccess(caller, null, true, vm); _userVmDao.loadDetails(vm); final String password = vm.getDetail("Encrypted.Password"); if (password == null || password.equals("")) { final InvalidParameterValueException ex = new InvalidParameterValueException( "No password for VM with specified id found. " + "If VM is created from password enabled template and SSH keypair is assigned to VM then only password can be retrieved."); ex.addProxyObject(vm.getUuid(), "vmId"); throw ex; } return password; }	long method	Long method, Feature envy	t	f	t	Feature envy		0	7049	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/server/ManagementServerImpl.java/#L3807-L3831	2	756	7049
2368	{"response": "YES, I found bad smells", "detected_bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void positionWriterAtCheckpoint() { writerChkptDK = new CheckpointDataKey(jobExecutionImpl.getJobInstance().getInstanceId(), step.getId(), CheckpointType.WRITER); CheckpointData writerData = persistenceManagerService.getCheckpointData(writerChkptDK); try { // check for data in backing store if (writerData != null) { byte[] writertoken = writerData.getRestartToken(); TCCLObjectInputStream writerOIS; try { writerProxy.open((Serializable) dataRepresentationService.toJavaRepresentation(writertoken)); } catch (Exception ex) { // is this what I should be throwing here? throw new BatchContainerServiceException("Cannot read the checkpoint data for [" + step.getId() + "]", ex); } } else { // no chkpt data exists in the backing store writerData = null; try { writerProxy.open(null); } catch (Exception ex) { throw new BatchContainerServiceException("Cannot open the step [" + step.getId() + "]", ex); } } } catch (ClassCastException e) { throw new IllegalStateException("Expected CheckpointData but found" + writerData); } }	long method	long method, data class	t	t	t	data class		0	14301	https://github.com/apache/incubator-batchee/blob/d4ad6b76d3013a7eb74fbe062aeac305215d6a36/jbatch/src/main/java/org/apache/batchee/container/impl/controller/chunk/ChunkStepController.java/#L1015-L1042	1	2368	14301
1763	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void configure(Context context) { this.headerName = context.getString(CONFIG_MULTIPLEX_HEADER_NAME, DEFAULT_MULTIPLEX_HEADER); Map channelNameMap = getChannelNameMap(); defaultChannels = getChannelListFromNames( context.getString(CONFIG_DEFAULT_CHANNEL), channelNameMap); Map mapConfig = context.getSubProperties(CONFIG_PREFIX_MAPPING); channelMapping = new HashMap>(); for (String headerValue : mapConfig.keySet()) { List configuredChannels = getChannelListFromNames( mapConfig.get(headerValue), channelNameMap); //This should not go to default channel(s) //because this seems to be a bad way to configure. if (configuredChannels.size() == 0) { throw new FlumeException("No channel configured for when " + "header value is: " + headerValue); } if (channelMapping.put(headerValue, configuredChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } //If no mapping is configured, it is ok. //All events will go to the default channel(s). Map optionalChannelsMapping = context.getSubProperties(CONFIG_PREFIX_OPTIONAL + "."); optionalChannels = new HashMap>(); for (String hdr : optionalChannelsMapping.keySet()) { List confChannels = getChannelListFromNames( optionalChannelsMapping.get(hdr), channelNameMap); if (confChannels.isEmpty()) { confChannels = EMPTY_LIST; } //Remove channels from optional channels, which are already //configured to be required channels. List reqdChannels = channelMapping.get(hdr); //Check if there are required channels, else defaults to default channels if (reqdChannels == null || reqdChannels.isEmpty()) { reqdChannels = defaultChannels; } for (Channel c : reqdChannels) { if (confChannels.contains(c)) { confChannels.remove(c); } } if (optionalChannels.put(hdr, confChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } }	long method	Long Method	t	f	t			0	11896	https://github.com/apache/flume/blob/7d3396f26dc1541e9d2a540d50d15a15c38acb74/flume-ng-core/src/main/java/org/apache/flume/channel/MultiplexingChannelSelector.java/#L83-L145	1	1763	11896
1027	{"message": "YES I found bad smells", "bad smells are": "1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	1. long method	t	t	t			0	9370	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	1	1027	9370
3589	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public TypedValue read(EvaluationContext context, @Nullable Object target, String name) throws AccessException { Assert.state(target != null, "Target must not be null"); Class type = (target instanceof Class ? (Class) target : target.getClass()); if (type.isArray() && name.equals("length")) { if (target instanceof Class) { throw new AccessException("Cannot access length on array class itself"); } return new TypedValue(Array.getLength(target)); } PropertyCacheKey cacheKey = new PropertyCacheKey(type, name, target instanceof Class); InvokerPair invoker = this.readerCache.get(cacheKey); this.lastReadInvokerPair = invoker; if (invoker == null || invoker.member instanceof Method) { Method method = (Method) (invoker != null ? invoker.member : null); if (method == null) { method = findGetterForProperty(name, type, target); if (method != null) { // Treat it like a property... // The readerCache will only contain gettable properties (let's not worry about setters for now). Property property = new Property(type, method, null); TypeDescriptor typeDescriptor = new TypeDescriptor(property); invoker = new InvokerPair(method, typeDescriptor); this.lastReadInvokerPair = invoker; this.readerCache.put(cacheKey, invoker); } } if (method != null) { try { ReflectionUtils.makeAccessible(method); Object value = method.invoke(target); return new TypedValue(value, invoker.typeDescriptor.narrow(value)); } catch (Exception ex) { throw new AccessException("Unable to access property '" + name + "' through getter method", ex); } } } if (invoker == null || invoker.member instanceof Field) { Field field = (Field) (invoker == null ? null : invoker.member); if (field == null) { field = findField(name, type, target); if (field != null) { invoker = new InvokerPair(field, new TypeDescriptor(field)); this.lastReadInvokerPair = invoker; this.readerCache.put(cacheKey, invoker); } } if (field != null) { try { ReflectionUtils.makeAccessible(field); Object value = field.get(target); return new TypedValue(value, invoker.typeDescriptor.narrow(value)); } catch (Exception ex) { throw new AccessException("Unable to access field '" + name + "'", ex); } } } throw new AccessException("Neither getter method nor field found for property '" + name + "'"); }	long method	long method, data class	t	t	t	data class		0	7923	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-expression/src/main/java/org/springframework/expression/spel/support/ReflectivePropertyAccessor.java/#L157-L222	1	3589	7923
3589	the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public TypedValue read(EvaluationContext context, @Nullable Object target, String name) throws AccessException { Assert.state(target != null, "Target must not be null"); Class type = (target instanceof Class ? (Class) target : target.getClass()); if (type.isArray() && name.equals("length")) { if (target instanceof Class) { throw new AccessException("Cannot access length on array class itself"); } return new TypedValue(Array.getLength(target)); } PropertyCacheKey cacheKey = new PropertyCacheKey(type, name, target instanceof Class); InvokerPair invoker = this.readerCache.get(cacheKey); this.lastReadInvokerPair = invoker; if (invoker == null || invoker.member instanceof Method) { Method method = (Method) (invoker != null ? invoker.member : null); if (method == null) { method = findGetterForProperty(name, type, target); if (method != null) { // Treat it like a property... // The readerCache will only contain gettable properties (let's not worry about setters for now). Property property = new Property(type, method, null); TypeDescriptor typeDescriptor = new TypeDescriptor(property); invoker = new InvokerPair(method, typeDescriptor); this.lastReadInvokerPair = invoker; this.readerCache.put(cacheKey, invoker); } } if (method != null) { try { ReflectionUtils.makeAccessible(method); Object value = method.invoke(target); return new TypedValue(value, invoker.typeDescriptor.narrow(value)); } catch (Exception ex) { throw new AccessException("Unable to access property '" + name + "' through getter method", ex); } } } if (invoker == null || invoker.member instanceof Field) { Field field = (Field) (invoker == null ? null : invoker.member); if (field == null) { field = findField(name, type, target); if (field != null) { invoker = new InvokerPair(field, new TypeDescriptor(field)); this.lastReadInvokerPair = invoker; this.readerCache.put(cacheKey, invoker); } } if (field != null) { try { ReflectionUtils.makeAccessible(field); Object value = field.get(target); return new TypedValue(value, invoker.typeDescriptor.narrow(value)); } catch (Exception ex) { throw new AccessException("Unable to access field '" + name + "'", ex); } } } throw new AccessException("Neither getter method nor field found for property '" + name + "'"); }	long method	Long method2 Feature envy	f	f	t			0	7923	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-expression/src/main/java/org/springframework/expression/spel/support/ReflectivePropertyAccessor.java/#L157-L222	2	3589	7923
924	YES I found bad smells the bad smells are:1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void positionWriterAtCheckpoint() { writerChkptDK = new CheckpointDataKey(jobExecutionImpl.getJobInstance().getInstanceId(), step.getId(), CheckpointType.WRITER); CheckpointData writerData = persistenceManagerService.getCheckpointData(writerChkptDK); try { // check for data in backing store if (writerData != null) { byte[] writertoken = writerData.getRestartToken(); TCCLObjectInputStream writerOIS; try { writerProxy.open((Serializable) dataRepresentationService.toJavaRepresentation(writertoken)); } catch (Exception ex) { // is this what I should be throwing here? throw new BatchContainerServiceException("Cannot read the checkpoint data for [" + step.getId() + "]", ex); } } else { // no chkpt data exists in the backing store writerData = null; try { writerProxy.open(null); } catch (Exception ex) { throw new BatchContainerServiceException("Cannot open the step [" + step.getId() + "]", ex); } } } catch (ClassCastException e) { throw new IllegalStateException("Expected CheckpointData but found" + writerData); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	8307	https://github.com/apache/incubator-batchee/blob/d4ad6b76d3013a7eb74fbe062aeac305215d6a36/jbatch/src/main/java/org/apache/batchee/container/impl/controller/chunk/ChunkStepController.java/#L1015-L1042	2	924	8307
2115	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static DimFilter negate(final DimFilter filter) { if (Filtration.matchEverything().equals(filter)) { return Filtration.matchNothing(); } else if (Filtration.matchNothing().equals(filter)) { return Filtration.matchEverything(); } else if (filter instanceof NotDimFilter) { return ((NotDimFilter) filter).getField(); } else if (filter instanceof BoundDimFilter) { final BoundDimFilter negated = Bounds.not((BoundDimFilter) filter); return negated != null ? negated : new NotDimFilter(filter); } else { return new NotDimFilter(filter); } }	long method	Long method2 Feature envy	t	f	t			0	13193	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/sql/src/main/java/org/apache/druid/sql/calcite/filtration/CombineAndSimplifyBounds.java/#L221-L235	2	2115	13193
1588	YES I found bad smells The bad smells are: 1.Method with multiple responsibilities 2. Complex conditional logic 3. Long method 4. Feature envy 5. Duplicate code 6. Dependency on specific implementation 7. Dependency on specific feature	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void reset(XMLComponentManager componentManager) throws XMLConfigurationException { XMLSecurityPropertyManager spm = (XMLSecurityPropertyManager)componentManager.getProperty(XML_SECURITY_PROPERTY_MANAGER); if (spm == null) { spm = new XMLSecurityPropertyManager(); setProperty(XML_SECURITY_PROPERTY_MANAGER, spm); } XMLSecurityManager sm = (XMLSecurityManager)componentManager.getProperty(SECURITY_MANAGER); if (sm == null) setProperty(SECURITY_MANAGER,new XMLSecurityManager(true)); faccessExternalSchema = spm.getValue(XMLSecurityPropertyManager.Property.ACCESS_EXTERNAL_SCHEMA); fGrammarBucket.reset(); fSubGroupHandler.reset(); boolean parser_settings = true; // If the component manager is the loader config don't bother querying it since it doesn't // recognize the PARSER_SETTINGS feature. Prevents an XMLConfigurationException from being // thrown. if (componentManager != fLoaderConfig) { parser_settings = componentManager.getFeature(PARSER_SETTINGS, true); } if (!parser_settings || !fSettingsChanged){ // need to reprocess JAXP schema sources fJAXPProcessed = false; // reinitialize grammar bucket initGrammarBucket(); if (fDeclPool != null) { fDeclPool.reset(); } return; } //pass the component manager to the factory.. fNodeFactory.reset(componentManager); // get registered entity manager to be able to resolve JAXP schema-source property: // Note: in case XMLSchemaValidator has created the loader, // the entity manager property is null fEntityManager = (XMLEntityManager)componentManager.getProperty(ENTITY_MANAGER); // get the error reporter fErrorReporter = (XMLErrorReporter)componentManager.getProperty(ERROR_REPORTER); // Determine schema dv factory to use SchemaDVFactory dvFactory = null; dvFactory = fSchemaHandler.getDVFactory(); if (dvFactory == null) { dvFactory = SchemaDVFactory.getInstance(); fSchemaHandler.setDVFactory(dvFactory); } // get schema location properties try { fExternalSchemas = (String) componentManager.getProperty(SCHEMA_LOCATION); fExternalNoNSSchema = (String) componentManager.getProperty(SCHEMA_NONS_LOCATION); } catch (XMLConfigurationException e) { fExternalSchemas = null; fExternalNoNSSchema = null; } // get JAXP sources if available fJAXPSource = componentManager.getProperty(JAXP_SCHEMA_SOURCE, null); fJAXPProcessed = false; // clear grammars, and put the one for schema namespace there fGrammarPool = (XMLGrammarPool) componentManager.getProperty(XMLGRAMMAR_POOL, null); initGrammarBucket(); boolean psvi = componentManager.getFeature(AUGMENT_PSVI, false); // Only use the decl pool when there is no chance that the schema // components will be exposed or cached. // TODO: when someone calls loadGrammar(XMLInputSource), the schema is // always exposed even without the use of a grammar pool. // Disabling the "decl pool" feature for now until we understand when // it can be safely used. if (!psvi && fGrammarPool == null && false) { if (fDeclPool != null) { fDeclPool.reset(); } else { fDeclPool = new XSDeclarationPool(); } fCMBuilder.setDeclPool(fDeclPool); fSchemaHandler.setDeclPool(fDeclPool); if (dvFactory instanceof SchemaDVFactoryImpl) { fDeclPool.setDVFactory((SchemaDVFactoryImpl)dvFactory); ((SchemaDVFactoryImpl)dvFactory).setDeclPool(fDeclPool); } } else { fCMBuilder.setDeclPool(null); fSchemaHandler.setDeclPool(null); if (dvFactory instanceof SchemaDVFactoryImpl) { ((SchemaDVFactoryImpl)dvFactory).setDeclPool(null); } } // get continue-after-fatal-error feature try { boolean fatalError = componentManager.getFeature(CONTINUE_AFTER_FATAL_ERROR, false); if (!fatalError) { fErrorReporter.setFeature(CONTINUE_AFTER_FATAL_ERROR, fatalError); } } catch (XMLConfigurationException e) { } // set full validation to false fIsCheckedFully = componentManager.getFeature(SCHEMA_FULL_CHECKING, false); // get generate-synthetic-annotations feature fSchemaHandler.setGenerateSyntheticAnnotations(componentManager.getFeature(GENERATE_SYNTHETIC_ANNOTATIONS, false)); fSchemaHandler.reset(componentManager); }	long method	Method with multiple responsibilities2 Complex conditional logic3 Long method4 Feature envy5 Duplicate code6 Dependency on specific implementation7 Dependency on specific feature	t	f	t			0	11376	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/impl/xs/XMLSchemaLoader.java/#L1000-L1116	2	1588	11376
932	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Long parameter list 4. Duplicate code 5. Comments that explain bad code 6. Nested conditionals 7. Inappropriate level of abstraction 8. Inconsistent naming conventions	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void reset(XMLComponentManager componentManager) throws XMLConfigurationException { XMLSecurityPropertyManager spm = (XMLSecurityPropertyManager)componentManager.getProperty(XML_SECURITY_PROPERTY_MANAGER); if (spm == null) { spm = new XMLSecurityPropertyManager(); setProperty(XML_SECURITY_PROPERTY_MANAGER, spm); } XMLSecurityManager sm = (XMLSecurityManager)componentManager.getProperty(SECURITY_MANAGER); if (sm == null) setProperty(SECURITY_MANAGER,new XMLSecurityManager(true)); faccessExternalSchema = spm.getValue(XMLSecurityPropertyManager.Property.ACCESS_EXTERNAL_SCHEMA); fGrammarBucket.reset(); fSubGroupHandler.reset(); boolean parser_settings = true; // If the component manager is the loader config don't bother querying it since it doesn't // recognize the PARSER_SETTINGS feature. Prevents an XMLConfigurationException from being // thrown. if (componentManager != fLoaderConfig) { parser_settings = componentManager.getFeature(PARSER_SETTINGS, true); } if (!parser_settings || !fSettingsChanged){ // need to reprocess JAXP schema sources fJAXPProcessed = false; // reinitialize grammar bucket initGrammarBucket(); if (fDeclPool != null) { fDeclPool.reset(); } return; } //pass the component manager to the factory.. fNodeFactory.reset(componentManager); // get registered entity manager to be able to resolve JAXP schema-source property: // Note: in case XMLSchemaValidator has created the loader, // the entity manager property is null fEntityManager = (XMLEntityManager)componentManager.getProperty(ENTITY_MANAGER); // get the error reporter fErrorReporter = (XMLErrorReporter)componentManager.getProperty(ERROR_REPORTER); // Determine schema dv factory to use SchemaDVFactory dvFactory = null; dvFactory = fSchemaHandler.getDVFactory(); if (dvFactory == null) { dvFactory = SchemaDVFactory.getInstance(); fSchemaHandler.setDVFactory(dvFactory); } // get schema location properties try { fExternalSchemas = (String) componentManager.getProperty(SCHEMA_LOCATION); fExternalNoNSSchema = (String) componentManager.getProperty(SCHEMA_NONS_LOCATION); } catch (XMLConfigurationException e) { fExternalSchemas = null; fExternalNoNSSchema = null; } // get JAXP sources if available fJAXPSource = componentManager.getProperty(JAXP_SCHEMA_SOURCE, null); fJAXPProcessed = false; // clear grammars, and put the one for schema namespace there fGrammarPool = (XMLGrammarPool) componentManager.getProperty(XMLGRAMMAR_POOL, null); initGrammarBucket(); boolean psvi = componentManager.getFeature(AUGMENT_PSVI, false); // Only use the decl pool when there is no chance that the schema // components will be exposed or cached. // TODO: when someone calls loadGrammar(XMLInputSource), the schema is // always exposed even without the use of a grammar pool. // Disabling the "decl pool" feature for now until we understand when // it can be safely used. if (!psvi && fGrammarPool == null && false) { if (fDeclPool != null) { fDeclPool.reset(); } else { fDeclPool = new XSDeclarationPool(); } fCMBuilder.setDeclPool(fDeclPool); fSchemaHandler.setDeclPool(fDeclPool); if (dvFactory instanceof SchemaDVFactoryImpl) { fDeclPool.setDVFactory((SchemaDVFactoryImpl)dvFactory); ((SchemaDVFactoryImpl)dvFactory).setDeclPool(fDeclPool); } } else { fCMBuilder.setDeclPool(null); fSchemaHandler.setDeclPool(null); if (dvFactory instanceof SchemaDVFactoryImpl) { ((SchemaDVFactoryImpl)dvFactory).setDeclPool(null); } } // get continue-after-fatal-error feature try { boolean fatalError = componentManager.getFeature(CONTINUE_AFTER_FATAL_ERROR, false); if (!fatalError) { fErrorReporter.setFeature(CONTINUE_AFTER_FATAL_ERROR, fatalError); } } catch (XMLConfigurationException e) { } // set full validation to false fIsCheckedFully = componentManager.getFeature(SCHEMA_FULL_CHECKING, false); // get generate-synthetic-annotations feature fSchemaHandler.setGenerateSyntheticAnnotations(componentManager.getFeature(GENERATE_SYNTHETIC_ANNOTATIONS, false)); fSchemaHandler.reset(componentManager); }	long method	Long method2 Feature envy3 Long parameter list4 Duplicate code5 Comments that explain bad code 6 Nested conditionals7 Inappropriate level of abstraction8 Inconsistent naming conventions	t	f	t			0	8357	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/impl/xs/XMLSchemaLoader.java/#L1000-L1116	2	932	8357
2302	{ "message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void parseArray(NameSegment nameSeg) { String name = nameSeg.getPath(); ArraySegment arraySeg = ((ArraySegment) nameSeg.getChild()); int index = arraySeg.getIndex(); RequestedColumnImpl member = getImpl(name); if (member == null) { member = new RequestedColumnImpl(this, name); projection.add(name, member); } else if (member.isSimple()) { // Saw both a and a[x]. Occurs in project list. // Project all elements. member.projectAllElements(); return; } else if (member.hasIndex(index)) { throw UserException .validationError() .message("Duplicate array index in project list: %s[%d]", member.fullName(), index) .build(logger); } member.addIndex(index); // Drills SQL parser does not support map arrays: a[0].c // But, the SchemaPath does support them, so no harm in // parsing them here. if (! arraySeg.isLastPath()) { parseInternal(nameSeg); } }	long method	long method, data class	t	t	t	data class		0	14043	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/rowSet/project/RequestedTupleImpl.java/#L260-L291	1	2302	14043
695	{"response": "YES I found bad smells\nthe bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int setPath(Path2D path) { Rectangle2D bounds = path.getBounds2D(); PathIterator it = path.getPathIterator(null); List segInfo = new ArrayList<>(); List pntInfo = new ArrayList<>(); boolean isClosed = false; int numPoints = 0; while (!it.isDone()) { double[] vals = new double[6]; int type = it.currentSegment(vals); switch (type) { case PathIterator.SEG_MOVETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_MOVETO); numPoints++; break; case PathIterator.SEG_LINETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); numPoints++; break; case PathIterator.SEG_CUBICTO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); pntInfo.add(new Point2D.Double(vals[2], vals[3])); pntInfo.add(new Point2D.Double(vals[4], vals[5])); segInfo.add(SEGMENTINFO_CUBICTO); segInfo.add(SEGMENTINFO_ESCAPE2); numPoints++; break; case PathIterator.SEG_QUADTO: //TODO: figure out how to convert SEG_QUADTO into SEG_CUBICTO LOG.log(POILogger.WARN, "SEG_QUADTO is not supported"); break; case PathIterator.SEG_CLOSE: pntInfo.add(pntInfo.get(0)); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_CLOSE); isClosed = true; numPoints++; break; default: LOG.log(POILogger.WARN, "Ignoring invalid segment type "+type); break; } it.next(); } if(!isClosed) { segInfo.add(SEGMENTINFO_LINETO); } segInfo.add(SEGMENTINFO_END); AbstractEscherOptRecord opt = getEscherOptRecord(); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__SHAPEPATH, 0x4)); EscherArrayProperty verticesProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__VERTICES + 0x4000), false, null); verticesProp.setNumberOfElementsInArray(pntInfo.size()); verticesProp.setNumberOfElementsInMemory(pntInfo.size()); verticesProp.setSizeOfElements(8); for (int i = 0; i < pntInfo.size(); i++) { Point2D.Double pnt = pntInfo.get(i); byte[] data = new byte[8]; LittleEndian.putInt(data, 0, Units.pointsToMaster(pnt.getX() - bounds.getX())); LittleEndian.putInt(data, 4, Units.pointsToMaster(pnt.getY() - bounds.getY())); verticesProp.setElement(i, data); } opt.addEscherProperty(verticesProp); EscherArrayProperty segmentsProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__SEGMENTINFO + 0x4000), false, null); segmentsProp.setNumberOfElementsInArray(segInfo.size()); segmentsProp.setNumberOfElementsInMemory(segInfo.size()); segmentsProp.setSizeOfElements(0x2); for (int i = 0; i < segInfo.size(); i++) { byte[] seg = segInfo.get(i); segmentsProp.setElement(i, seg); } opt.addEscherProperty(segmentsProp); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__RIGHT, Units.pointsToMaster(bounds.getWidth()))); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__BOTTOM, Units.pointsToMaster(bounds.getHeight()))); opt.sortProperties(); setAnchor(bounds); return numPoints; }	long method	1. long method	t	t	t			0	6659	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/scratchpad/src/org/apache/poi/hslf/usermodel/HSLFFreeformShape.java/#L107-L198	1	695	6659
2050	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int hashCode() { final int prime = 31; int result = 1; result = prime * result + (this.alias == null ? 0 : this.alias.hashCode()); result = prime * result + (this.ciphers == null ? 0 : this.ciphers.hashCode()); result = prime * result + (this.hostnameVerification ? 1231 : 1237); result = prime * result + (this.keyStore == null ? 0 : this.keyStore.hashCode()); result = prime * result + Arrays.hashCode(this.keyStorePassword); result = prime * result + (this.protocol == null ? 0 : this.protocol.hashCode()); result = prime * result + (this.sslManagerOpts == null ? 0 : this.sslManagerOpts.hashCode()); result = prime * result + (this.trustStore == null ? 0 : this.trustStore.hashCode()); return result; }	long method	long method	t	t	t			0	12885	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.core/src/main/java/org/eclipse/kura/core/ssl/ConnectionSslOptions.java/#L107-L120	1	2050	12885
1665	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void addOutputContainerData() { @SuppressWarnings("resource") final VarCharVector fragmentIdVector = (VarCharVector) container.getValueAccessorById( VarCharVector.class, container.getValueVectorId(SchemaPath.getSimplePath("Fragment")).getFieldIds()) .getValueVector(); AllocationHelper.allocate(fragmentIdVector, 1, 50); @SuppressWarnings("resource") final BigIntVector summaryVector = (BigIntVector) container.getValueAccessorById(BigIntVector.class, container.getValueVectorId(SchemaPath.getSimplePath("Number of records written")).getFieldIds()) .getValueVector(); AllocationHelper.allocate(summaryVector, 1, 8); fragmentIdVector.getMutator().setSafe(0, fragmentUniqueId.getBytes()); fragmentIdVector.getMutator().setValueCount(1); summaryVector.getMutator().setSafe(0, counter); summaryVector.getMutator().setValueCount(1); container.setRecordCount(1); }	long method	Long method2 Feature envy	t	f	t			0	11622	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/WriterRecordBatch.java/#L138-L156	2	1665	11622
2548	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: boolean increaseConnectionWindow(int amount) { List> candidates = null; controllerLock.lock(); try { int size = connectionWindowSize; size += amount; if (size < 0) return false; connectionWindowSize = size; if (debug.on()) debug.log("Connection window size is now %d (amount added %d)", size, amount); // Notify waiting streams, until the new increased window size is // effectively exhausted. Iterator,Integer>>> iter = pending.entrySet().iterator(); while (iter.hasNext() && size > 0) { Map.Entry,Integer>> item = iter.next(); Integer streamSize = streams.get(item.getKey()); if (streamSize == null) { iter.remove(); } else { Map.Entry,Integer> e = item.getValue(); int requestedAmount = e.getValue(); // only wakes up the pending streams for which there is // at least 1 byte of space in both windows int minAmount = 1; if (size >= minAmount && streamSize >= minAmount) { size -= Math.min(streamSize, requestedAmount); iter.remove(); if (candidates == null) candidates = new ArrayList<>(); candidates.add(e.getKey()); } } } } finally { controllerLock.unlock(); } if (candidates != null) { candidates.forEach(Stream::signalWindowUpdate); } return true; }	long method	long method, data class	t	t	t	data class		0	14793	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.net.http/share/classes/jdk/internal/net/http/WindowController.java/#L181-L226	1	2548	14793
2153	YES I found bad smells the bad smells are: 1. Long method 2. Duplicate code 3. Mix of responsibilities (method is responsible for too many things) 4. Inconsistent formatting and naming conventions 5. Arbitrary integer value used without clear explanation or justification 6. Nested if statements 7. Use of null values 8. Use of raw data types instead of object-oriented approach 9. Potential for null pointer exception 10. Potential for index out of bounds exception 11. Magic numbers/strings used (e.g. 0, "0") 12. Violation of the Single Responsibility Principle (SRP)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: void getHashes(List searchHashes, int bitShift) { // We don't need to include 0 because that's always assumed in look ups. If we do return 0, that // means this agent isn't sure what it needs, but the inverse is acceptable because that just // means the airing doesn't know what it matches and it will be tested on all of the agents. searchHashes.clear(); if (title != null) { searchHashes.add((title.ignoreCaseHash >>> bitShift)); } if (person != null) { addHash(person.ignoreCaseHash, searchHashes, bitShift); } if (category != null) { addHash(category.ignoreCaseHash, searchHashes, bitShift); } if (subCategory != null) { addHash(subCategory.ignoreCaseHash, searchHashes, bitShift); } if (chanName.length() > 0) { addHash(chanName.hashCode(), searchHashes, bitShift); } if (chanNames != null && chanNames.length > 0) { for (String chanName : chanNames) { addHash(chanName.hashCode(), searchHashes, bitShift); } } if (network != null) { addHash(network.ignoreCaseHash, searchHashes, bitShift); } if (rated != null) { addHash(rated.ignoreCaseHash, searchHashes, bitShift); } if (year != null) { addHash(year.ignoreCaseHash, searchHashes, bitShift); } if (pr != null) { addHash(pr.ignoreCaseHash, searchHashes, bitShift); } // This will ensure that we do a full search since 0 means at least one of our items doesn't // have a "valid" hash. if (searchHashes.contains(0)) searchHashes.clear(); }	long method	Long method2 Duplicate code3 Mix of responsibilities (method is responsible for too many things)4 Inconsistent formatting and naming conventions5 Arbitrary integer value used without clear explanation or justification6 Nested if statements7 Use of null values8 Use of raw data types instead of object-oriented approach9 Potential for null pointer exception	t	f	t			0	13295	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Agent.java/#L1825-L1889	2	2153	13295
5781	{"message": "YES, I found bad smells. The bad smells are: 1. Long method"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	1. long method	t	t	t			0	15317	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	2	5781	15317
2450	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: InitializeParams get(String id) throws LanguageServerException { InitializeParams initializeParams = new InitializeParams(); LOG.debug("Initialize params constructing: started"); Boolean locality = localityRegistry.get(id); LOG.debug("Locality: {}", locality); Integer processId = locality ? ProcessIdProvider.get() : null; initializeParams.setProcessId(processId); LOG.debug("Process id: {}", processId); String projectsRoot = projectsRootRegistry.getOrNull(id); String rootPath; if (projectsRoot != null) { rootPath = projectsRoot; } else { rootPath = Paths.get(rootUri).toAbsolutePath().toString(); } initializeParams.setRootPath(rootPath); LOG.debug("Root path: {}", rootPath); String rootUri; if (projectsRoot != null) { rootUri = Paths.get(projectsRoot).toUri().toString(); } else { rootUri = this.rootUri.toString(); } initializeParams.setRootUri(rootUri); LOG.debug("Root URI: {}", rootUri); ClientCapabilities capabilities = ClientCapabilitiesProvider.get(); initializeParams.setCapabilities(capabilities); LOG.debug("Client capabilities: {}", capabilities); String clientName = ClientCapabilitiesProvider.CLIENT_NAME; initializeParams.setClientName(clientName); LOG.debug("Client name: {}", clientName); LOG.debug("Initialize params constructing: finished"); return initializeParams; }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	14505	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/wsagent/che-core-api-languageserver/src/main/java/org/eclipse/che/api/languageserver/InitializeParamsProvider.java/#L73-L114	2	2450	14505
1388	Yes I found bad smells the bad smells are: 1. Long method, 2. Feature envy, 3. Duplicate code, 4. Magic numbers, 5. Nested conditionals, 6. Large number of parameters, 7. Lack of comments/documentation, 8. High complexity/low readability, 9. Inconsistent formatting, 10. Hard-coded values/strings, 11. Use of deprecated methods, 12. Lack of abstraction/separation of concerns, 13. Potential NullPointerExceptions, 14. Unused variables, 15. Lack of error handling/reporting, 16. Inadequate naming of variables/methods.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public synchronized void start(BundleContext context) throws Exception { PermissionAdminImpl pai = null; SecureAction action = new SecureAction(); Permissions permissions = new Permissions(context, action); File tmp = context.getDataFile("security" + File.separator + "tmp"); if ((tmp == null) || (!tmp.isDirectory() && !tmp.mkdirs())) { throw new IOException("Can't create tmp dir."); } // TODO: log something if we can not clean-up the tmp dir File[] old = tmp.listFiles(); if (old != null) { for (int i = 0; i < old.length; i++) { old[i].delete(); } } if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_PERMISSIONADMIN_PROP, SecurityConstants.ENABLE_PERMISSIONADMIN_VALUE))) { File cache = context.getDataFile("security" + File.separator + "pa.txt"); if ((cache == null) || (!cache.isFile() && !cache.createNewFile())) { throw new IOException("Can't create cache file"); } pai = new PermissionAdminImpl(permissions, new PropertiesCache( cache, tmp, action)); } ConditionalPermissionAdminImpl cpai = null; if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_CONDPERMADMIN_PROP, SecurityConstants.ENABLE_CONDPERMADMIN_VALUE))) { File cpaCache = context.getDataFile("security" + File.separator + "cpa.txt"); if ((cpaCache == null) || (!cpaCache.isFile() && !cpaCache.createNewFile())) { throw new IOException("Can't create cache file"); } LocalPermissions localPermissions = new LocalPermissions( permissions); cpai = new ConditionalPermissionAdminImpl(permissions, new Conditions(action), localPermissions, new PropertiesCache( cpaCache, tmp, action), pai); } if ((pai != null) || (cpai != null)) { String crlList = getProperty(context, SecurityConstants.CRL_FILE_PROP, SecurityConstants.CRL_FILE_VALUE); String storeList = getProperty(context, SecurityConstants.KEYSTORE_FILE_PROP, SecurityConstants.KEYSTORE_FILE_VALUE); String passwdList = getProperty(context, SecurityConstants.KEYSTORE_PASS_PROP, SecurityConstants.KEYSTORE_PASS_VALUE); String typeList = getProperty(context, SecurityConstants.KEYSTORE_TYPE_PROP, SecurityConstants.KEYSTORE_TYPE_VALUE); String osgi_keystores = getProperty(context, Constants.FRAMEWORK_TRUST_REPOSITORIES, null); if (osgi_keystores != null) { StringTokenizer tok = new StringTokenizer(osgi_keystores, File.pathSeparator); if (storeList.length() == 0) { storeList += "file:" + tok.nextToken(); passwdList += " "; typeList += "JKS"; } while (tok.hasMoreTokens()) { storeList += "|file:" + tok.nextToken(); passwdList += "| "; typeList += "|JKS"; } } StringTokenizer storeTok = new StringTokenizer(storeList, "|"); StringTokenizer passwdTok = new StringTokenizer(passwdList, "|"); StringTokenizer typeTok = new StringTokenizer(typeList, "|"); if ((storeTok.countTokens() != typeTok.countTokens()) || (passwdTok.countTokens() != storeTok.countTokens())) { throw new BundleException( "Each CACerts keystore must have one type and one passwd entry and vice versa."); } SecurityProvider provider = new SecurityProviderImpl(crlList, typeList, passwdList, storeList, pai, cpai, action, ((Felix) context.getBundle(0)).getLogger()); ((Felix) context.getBundle(0)).setSecurityProvider(provider); } if (pai != null) { context.registerService(PermissionAdmin.class.getName(), pai, null); } if (cpai != null) { context.registerService(ConditionalPermissionAdmin.class.getName(), cpai, null); } }	long method	Long method, 2 Feature envy, 3 Duplicate code, 4 Magic numbers, 5 Nested conditionals, 6 Large number of parameters, 7 Lack of comments/documentation, 8 High complexity/low readability, 9 Inconsistent formatting,	t	f	t	2. Feature envy, 3. Duplicate code, 4. Magic numbers, 5. Nested conditionals, 6. Large number of parameters, 7. Lack of comments/documentation, 8. High complexity/low readability, 9. Inconsistent formatting,		0	10839	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/framework.security/src/main/java/org/apache/felix/framework/SecurityActivator.java/#L99-L220	2	1388	10839
2298	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean readFrom(ByteBuffer buf, MessageReader reader) { reader.setBuffer(buf); if (!reader.beforeMessageRead()) return false; if (!super.readFrom(buf, reader)) return false; switch (reader.state()) { case 3: futId = reader.readLong("futId"); if (!reader.isLastRead()) return false; reader.incrementState(); case 4: locksArr = reader.readObjectArray("locksArr", MessageCollectionItemType.MSG, TxLockList.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 5: nearTxKeysArr = reader.readObjectArray("nearTxKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 6: txKeysArr = reader.readObjectArray("txKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); } return reader.afterMessageRead(TxLocksResponse.class); }	long method	long method, data class	t	t	t	data class		0	14025	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/transactions/TxLocksResponse.java/#L272-L317	1	2298	14025
1785	YES I found bad smells: 1. Long method 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String toString() { StringBuilder sb = new StringBuilder(); sb.append(Constants.INDENT); sb.append("kdf: 0x"); sb.append(Functions.toFullHexString(kdf)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedDataLen: "); sb.append(pSharedData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedData: "); sb.append(Functions.toHexString(pSharedData)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicDataLen: "); sb.append(pPublicData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicData: "); sb.append(Functions.toHexString(pPublicData)); //buffer.append(Constants.NEWLINE); return sb.toString(); }	long method	Long method 2 Feature envy	t	f	t			0	11978	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/wrapper/CK_ECDH1_DERIVE_PARAMS.java/#L107-L136	2	1785	11978
1432	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: void getHashes(List searchHashes, int bitShift) { // We don't need to include 0 because that's always assumed in look ups. If we do return 0, that // means this agent isn't sure what it needs, but the inverse is acceptable because that just // means the airing doesn't know what it matches and it will be tested on all of the agents. searchHashes.clear(); if (title != null) { searchHashes.add((title.ignoreCaseHash >>> bitShift)); } if (person != null) { addHash(person.ignoreCaseHash, searchHashes, bitShift); } if (category != null) { addHash(category.ignoreCaseHash, searchHashes, bitShift); } if (subCategory != null) { addHash(subCategory.ignoreCaseHash, searchHashes, bitShift); } if (chanName.length() > 0) { addHash(chanName.hashCode(), searchHashes, bitShift); } if (chanNames != null && chanNames.length > 0) { for (String chanName : chanNames) { addHash(chanName.hashCode(), searchHashes, bitShift); } } if (network != null) { addHash(network.ignoreCaseHash, searchHashes, bitShift); } if (rated != null) { addHash(rated.ignoreCaseHash, searchHashes, bitShift); } if (year != null) { addHash(year.ignoreCaseHash, searchHashes, bitShift); } if (pr != null) { addHash(pr.ignoreCaseHash, searchHashes, bitShift); } // This will ensure that we do a full search since 0 means at least one of our items doesn't // have a "valid" hash. if (searchHashes.contains(0)) searchHashes.clear(); }	long method	long method, data class	t	t	t	data class		0	10956	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Agent.java/#L1825-L1889	1	1432	10956
1520	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static boolean resolveGenericRef(GenericRef ref, Class clazz, Type type) { if (type instanceof Class) { if (type == ref.ifaceClass) { // is this a straight ref or a TypeVariable? // debug("Found ref (as class): %s",toShortName(type)); ref.setGenericFromType(type,0); return true; } else { // Keep digging return resolveGenericRef(ref,type); } } if (type instanceof ParameterizedType) { ParameterizedType ptype = (ParameterizedType)type; Type rawType = ptype.getRawType(); if (rawType == ref.ifaceClass) { // debug("Found ref on [%s] as ParameterizedType [%s]",toShortName(clazz),toShortName(ptype)); // Always get the raw type parameter, let unwrap() solve for what it is ref.setGenericFromType(ptype.getActualTypeArguments()[0],0); return true; } else { // Keep digging return resolveGenericRef(ref,rawType); } } return false; }	long method	Long method2 Feature envy	t	f	t			0	11172	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-websocket/websocket-common/src/main/java/org/eclipse/jetty/websocket/common/util/ReflectUtils.java/#L189-L225	2	1520	11172
2046	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers/strings 3. Feature envy 4. Testing multiple scenarios within a single test method 5. Lack of proper comments/documentation 6. Lack of clear and concise variable names 7. Unnecessary/redundant code (e.g. using assertEquals and assertTrue separately when the same result can be achieved with a single assertion)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void checkAlternativeConstructor() { // Local Declarations MasterDetailsPair mDetailsP; DataComponent dComponent; String MasterType1 = "TypeOne!"; // Setup DataComponent dComponent = new DataComponent(); dComponent.setName(MasterType1); IEntry entry = new StringEntry(); // Add entry to dComponent dComponent.addEntry(entry); // Call Alternative Constructor mDetailsP = new MasterDetailsPair(MasterType1, dComponent); // Check values. Should be typeone and equal to the declared // dataComponent assertEquals(MasterType1, mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // Try to pass null to the constructor - sets values appropriately mDetailsP = new MasterDetailsPair(null, dComponent); // null master assertNull(mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // DataComponent null mDetailsP = new MasterDetailsPair(MasterType1, null); assertEquals(MasterType1, mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); // Both null mDetailsP = new MasterDetailsPair(null, null); assertNull(mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); }	long method	Long method2 Magic numbers/strings3 Feature envy4 Testing multiple scenarios within a single test method5 Lack of proper comments/documentation6 Lack of clear and concise variable names7 Unnecessary/redundant code (eg using assertEquals and assertTrue separately when the same result can be achieved with a single assertion)	t	f	t			0	12872	https://github.com/eclipse/ice/blob/3f6e0265f5b476ff90a660397ce83992944142c4/org.eclipse.ice.tests.datastructures/src/org/eclipse/ice/tests/datastructures/MasterDetailsPairTester.java/#L201-L238	2	2046	12872
484	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static ClassLoader findClassLoader() throws ConfigurationError { // Figure out which ClassLoader to use for loading the provider // class. If there is a Context ClassLoader then use it. ClassLoader context = SecuritySupport.getContextClassLoader(); ClassLoader system = SecuritySupport.getSystemClassLoader(); ClassLoader chain = system; while (true) { if (context == chain) { // Assert: we are on JDK 1.1 or we have no Context ClassLoader // or any Context ClassLoader in chain of system classloader // (including extension ClassLoader) so extend to widest // ClassLoader (always look in system ClassLoader if Xalan // is in boot/extension/system classpath and in current // ClassLoader otherwise); normal classloaders delegate // back to system ClassLoader first so this widening doesn't // change the fact that context ClassLoader will be consulted ClassLoader current = ObjectFactory.class.getClassLoader(); chain = system; while (true) { if (current == chain) { // Assert: Current ClassLoader in chain of // boot/extension/system ClassLoaders return system; } if (chain == null) { break; } chain = SecuritySupport.getParentClassLoader(chain); } // Assert: Current ClassLoader not in chain of // boot/extension/system ClassLoaders return current; } if (chain == null) { // boot ClassLoader reached break; } // Check for any extension ClassLoaders in chain up to // boot ClassLoader chain = SecuritySupport.getParentClassLoader(chain); }; // Assert: Context ClassLoader not in chain of // boot/extension/system ClassLoaders return context; } // findClassLoader():ClassLoader	long method	Long method2 Feature envy	t	f	t			0	4743	https://github.com/apache/xalan-j/blob/cba6d7fe7e93defecb98d155e2a780f8a3f1fbaa/src/org/apache/xalan/xsltc/dom/ObjectFactory.java/#L391-L443	2	484	4743
1603	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static void copyDirectory(final File srcDir, final File destDir) throws IOException { if (srcDir == null) { throw new NullPointerException("Source must not be null"); } if (destDir == null) { throw new NullPointerException("Destination must not be null"); } if (!srcDir.exists()) { throw new FileNotFoundException("Source '" + srcDir + "' does not exist"); } if (!srcDir.isDirectory()) { throw new IOException("Source '" + srcDir + "' exists but is not a directory"); } if (srcDir.getCanonicalPath().equals(destDir.getCanonicalPath())) { throw new IOException("Source '" + srcDir + "' and destination '" + destDir + "' are the same"); } // Cater for destination being directory within the source directory (see IO-141) List exclusionList = null; if (destDir.getCanonicalPath().startsWith(srcDir.getCanonicalPath())) { final File[] srcFiles = srcDir.listFiles(); if (srcFiles != null && srcFiles.length > 0) { exclusionList = new ArrayList<>(srcFiles.length); for (final File srcFile : srcFiles) { final File copiedFile = new File(destDir, srcFile.getName()); exclusionList.add(copiedFile.getCanonicalPath()); } } } doCopyDirectory(srcDir, destDir, exclusionList); }	long method	Long method2 Feature envy	t	f	t			0	11438	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-loader/src/main/java/org/apache/openejb/loader/IO.java/#L193-L223	2	1603	11438
1190	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String toString() { if (subject == null || pubKey == null || interval == null || issuer == null || algId == null || serialNum == null) { throw new NullPointerException("X.509 cert is incomplete"); } StringBuilder sb = new StringBuilder(); sb.append("[\n"); sb.append(" " + version.toString() + "\n"); sb.append(" Subject: " + subject.toString() + "\n"); sb.append(" Signature Algorithm: " + algId.toString() + "\n"); sb.append(" Key: " + pubKey.toString() + "\n"); sb.append(" " + interval.toString() + "\n"); sb.append(" Issuer: " + issuer.toString() + "\n"); sb.append(" " + serialNum.toString() + "\n"); // optional v2, v3 extras if (issuerUniqueId != null) { sb.append(" Issuer Id:\n" + issuerUniqueId.toString() + "\n"); } if (subjectUniqueId != null) { sb.append(" Subject Id:\n" + subjectUniqueId.toString() + "\n"); } if (extensions != null) { Collection allExts = extensions.getAllExtensions(); Extension[] exts = allExts.toArray(new Extension[0]); sb.append("\nCertificate Extensions: " + exts.length); for (int i = 0; i < exts.length; i++) { sb.append("\n[" + (i+1) + "]: "); Extension ext = exts[i]; try { if (OIDMap.getClass(ext.getExtensionId()) == null) { sb.append(ext.toString()); byte[] extValue = ext.getExtensionValue(); if (extValue != null) { DerOutputStream out = new DerOutputStream(); out.putOctetString(extValue); extValue = out.toByteArray(); HexDumpEncoder enc = new HexDumpEncoder(); sb.append("Extension unknown: " + "DER encoded OCTET string =\n" + enc.encodeBuffer(extValue) + "\n"); } } else sb.append(ext.toString()); //sub-class exists } catch (Exception e) { sb.append(", Error parsing this extension"); } } Map invalid = extensions.getUnparseableExtensions(); if (invalid.isEmpty() == false) { sb.append("\nUnparseable certificate extensions: " + invalid.size()); int i = 1; for (Extension ext : invalid.values()) { sb.append("\n[" + (i++) + "]: "); sb.append(ext); } } } sb.append("\n]"); return sb.toString(); }	long method	Long method2 Feature envy	t	f	t			0	10253	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/x509/X509CertInfo.java/#L292-L354	2	1190	10253
1031	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Useless comments (ex: "@Override @MultiMQAdminCmdMethod") 4. Use of multiple catch statements for different exceptions 5. Nested for loops and try-catch statements 6. Repeated code (ex: calling mqAdminExt.resetOffsetByTimestamp twice) 7. Poor variable naming (ex: groupRollbackStats, rollbackStats, rollbackStatsMap, rollbackStatsList) 8. Lack of encapsulation/abstraction (ex: direct access to class attributes) 9. Use of Maps and Lists instead of more object-oriented data structures 10. Nested if-else statements 11. Use of continue statement to skip code (ex: "continue;" in the catch block) 12. Lack of exception handling techniques like throwing/catching custom exceptions 13. Lack of separation of concerns (resetOffset method has multiple responsibilities)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @MultiMQAdminCmdMethod public Map resetOffset(ResetOffsetRequest resetOffsetRequest) { Map groupRollbackStats = Maps.newHashMap(); for (String consumerGroup : resetOffsetRequest.getConsumerGroupList()) { try { Map rollbackStatsMap = mqAdminExt.resetOffsetByTimestamp(resetOffsetRequest.getTopic(), consumerGroup, resetOffsetRequest.getResetTime(), resetOffsetRequest.isForce()); ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = consumerGroupRollBackStat.getRollbackStatsList(); for (Map.Entry rollbackStatsEntty : rollbackStatsMap.entrySet()) { RollbackStats rollbackStats = new RollbackStats(); rollbackStats.setRollbackOffset(rollbackStatsEntty.getValue()); rollbackStats.setQueueId(rollbackStatsEntty.getKey().getQueueId()); rollbackStats.setBrokerName(rollbackStatsEntty.getKey().getBrokerName()); rollbackStatsList.add(rollbackStats); } groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); } catch (MQClientException e) { if (ResponseCode.CONSUMER_NOT_ONLINE == e.getResponseCode()) { try { ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = mqAdminExt.resetOffsetByTimestampOld(consumerGroup, resetOffsetRequest.getTopic(), resetOffsetRequest.getResetTime(), true); consumerGroupRollBackStat.setRollbackStatsList(rollbackStatsList); groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); continue; } catch (Exception err) { logger.error("op=resetOffset_which_not_online_error", err); } } else { logger.error("op=resetOffset_error", e); } groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } catch (Exception e) { logger.error("op=resetOffset_error", e); groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } } return groupRollbackStats; }	long method	Long method2 Feature envy3 Useless comments (ex: "@Override @MultiMQAdminCmdMethod")4 Use of multiple catch statements for different exceptions5 Nested for loops and try-catch statements6 Repeated code (ex: calling mqAdminExtresetOffsetByTimestamp twice)7 Poor variable naming (ex: groupRollbackStats, rollbackStats, rollbackStatsMap, rollbackStatsList)8 Lack of encapsulation/abstraction (ex: direct access to class attributes)9 Use of Maps and Lists instead of more object-oriented data structures	t	f	t	rollbackStats, rollbackStatsMap, rollbackStatsList)8. Lack of encapsulation/abstraction (ex: direct access to class attributes)9. Use of Maps and Lists instead of more object-oriented data structures		0	9386	https://github.com/apache/rocketmq-externals/blob/dba6eb0c997d5c325f26b3d1da9d739d927228dc/rocketmq-console/src/main/java/org/apache/rocketmq/console/service/impl/ConsumerServiceImpl.java/#L208-L251	2	1031	9386
1033	YES I found bad smells The bad smells are: 1. Long method 2. Exception throwing (multiple exceptions in method signature) 3. Dependency on specific library (java.util.concurrent) 4. Inconsistent variable naming conventions 5. Multiple nested if statements 6. Lack of comments or documentation explaining the purpose of the method and its parameters 7. Possible synchronization issues (using wait() without a corresponding notify() or notifyAll()) 8. Code duplication (using the same code to check for internalFuture and to calculate remaining time) 9. Hard to read and understand code flow due to excessive use of ternary operator (? and :) 10. Magic numbers (1, TimeUnit.MILLISECONDS) used without explanation or context.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public T get(Duration duration) throws InterruptedException, ExecutionException, TimeoutException { long start = System.currentTimeMillis(); Long end = duration==null ? null : start + duration.toMillisecondsRoundingUp(); while (end==null || end > System.currentTimeMillis()) { if (cancelled) throw new CancellationException(); if (internalFuture == null) { synchronized (this) { long remaining = end - System.currentTimeMillis(); if (internalFuture==null && remaining>0) wait(remaining); } } if (internalFuture != null) break; } Long remaining = end==null ? null : end - System.currentTimeMillis(); if (isDone()) { return internalFuture.get(1, TimeUnit.MILLISECONDS); } else if (remaining == null) { return internalFuture.get(); } else if (remaining > 0) { return internalFuture.get(remaining, TimeUnit.MILLISECONDS); } else { throw new TimeoutException(); } }	long method	Long method2 Exception throwing (multiple exceptions in method signature)3 Dependency on specific library (javautilconcurrent)4 Inconsistent variable naming conventions5 Multiple nested if statements6 Lack of comments or documentation explaining the purpose of the method and its parameters7 Possible synchronization issues (using wait() without a corresponding notify() or notifyAll())8 Code duplication (using the same code to check for internalFuture and to calculate remaining time)9 Hard to read and understand code flow due to excessive use of ternary operator (? and :)	t	f	t			0	9391	https://github.com/apache/incubator-brooklyn/blob/337a5d22d5e9c98cc96ea1085383cbed1ee0b741/brooklyn-server/core/src/main/java/org/apache/brooklyn/util/core/task/BasicTask.java/#L437-L462	2	1033	9391
2597	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Collection validate(final ValidationContext validationContext, final CredentialsStrategy primaryStrategy) { boolean thisIsSelectedStrategy = this == primaryStrategy; Boolean useStrategy = validationContext.getProperty(strategyProperty).asBoolean(); if (!thisIsSelectedStrategy && useStrategy) { String failureFormat = "property %1$s cannot be used with %2$s"; Collection validationFailureResults = new ArrayList(); String message = String.format(failureFormat, strategyProperty.getDisplayName(), primaryStrategy.getName()); validationFailureResults.add(new ValidationResult.Builder() .subject(strategyProperty.getDisplayName()) .valid(false) .explanation(message).build()); return validationFailureResults; } return null; }	long method	Long method2 Feature envy	t	f	t			0	15009	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/credentials/provider/factory/strategies/AbstractBooleanCredentialsStrategy.java/#L51-L68	2	2597	15009
693	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public synchronized void start(BundleContext context) throws Exception { PermissionAdminImpl pai = null; SecureAction action = new SecureAction(); Permissions permissions = new Permissions(context, action); File tmp = context.getDataFile("security" + File.separator + "tmp"); if ((tmp == null) || (!tmp.isDirectory() && !tmp.mkdirs())) { throw new IOException("Can't create tmp dir."); } // TODO: log something if we can not clean-up the tmp dir File[] old = tmp.listFiles(); if (old != null) { for (int i = 0; i < old.length; i++) { old[i].delete(); } } if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_PERMISSIONADMIN_PROP, SecurityConstants.ENABLE_PERMISSIONADMIN_VALUE))) { File cache = context.getDataFile("security" + File.separator + "pa.txt"); if ((cache == null) || (!cache.isFile() && !cache.createNewFile())) { throw new IOException("Can't create cache file"); } pai = new PermissionAdminImpl(permissions, new PropertiesCache( cache, tmp, action)); } ConditionalPermissionAdminImpl cpai = null; if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_CONDPERMADMIN_PROP, SecurityConstants.ENABLE_CONDPERMADMIN_VALUE))) { File cpaCache = context.getDataFile("security" + File.separator + "cpa.txt"); if ((cpaCache == null) || (!cpaCache.isFile() && !cpaCache.createNewFile())) { throw new IOException("Can't create cache file"); } LocalPermissions localPermissions = new LocalPermissions( permissions); cpai = new ConditionalPermissionAdminImpl(permissions, new Conditions(action), localPermissions, new PropertiesCache( cpaCache, tmp, action), pai); } if ((pai != null) || (cpai != null)) { String crlList = getProperty(context, SecurityConstants.CRL_FILE_PROP, SecurityConstants.CRL_FILE_VALUE); String storeList = getProperty(context, SecurityConstants.KEYSTORE_FILE_PROP, SecurityConstants.KEYSTORE_FILE_VALUE); String passwdList = getProperty(context, SecurityConstants.KEYSTORE_PASS_PROP, SecurityConstants.KEYSTORE_PASS_VALUE); String typeList = getProperty(context, SecurityConstants.KEYSTORE_TYPE_PROP, SecurityConstants.KEYSTORE_TYPE_VALUE); String osgi_keystores = getProperty(context, Constants.FRAMEWORK_TRUST_REPOSITORIES, null); if (osgi_keystores != null) { StringTokenizer tok = new StringTokenizer(osgi_keystores, File.pathSeparator); if (storeList.length() == 0) { storeList += "file:" + tok.nextToken(); passwdList += " "; typeList += "JKS"; } while (tok.hasMoreTokens()) { storeList += "|file:" + tok.nextToken(); passwdList += "| "; typeList += "|JKS"; } } StringTokenizer storeTok = new StringTokenizer(storeList, "|"); StringTokenizer passwdTok = new StringTokenizer(passwdList, "|"); StringTokenizer typeTok = new StringTokenizer(typeList, "|"); if ((storeTok.countTokens() != typeTok.countTokens()) || (passwdTok.countTokens() != storeTok.countTokens())) { throw new BundleException( "Each CACerts keystore must have one type and one passwd entry and vice versa."); } SecurityProvider provider = new SecurityProviderImpl(crlList, typeList, passwdList, storeList, pai, cpai, action, ((Felix) context.getBundle(0)).getLogger()); ((Felix) context.getBundle(0)).setSecurityProvider(provider); } if (pai != null) { context.registerService(PermissionAdmin.class.getName(), pai, null); } if (cpai != null) { context.registerService(ConditionalPermissionAdmin.class.getName(), cpai, null); } }	long method	long method, data class	t	t	t	data class		0	6654	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/framework.security/src/main/java/org/apache/felix/framework/SecurityActivator.java/#L99-L220	1	693	6654
1842	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public SystemDiagnosticsDTO createSystemDiagnosticsDto(final SystemDiagnostics sysDiagnostics) { final SystemDiagnosticsDTO dto = new SystemDiagnosticsDTO(); final SystemDiagnosticsSnapshotDTO snapshot = new SystemDiagnosticsSnapshotDTO(); dto.setAggregateSnapshot(snapshot); snapshot.setStatsLastRefreshed(new Date(sysDiagnostics.getCreationTimestamp())); // processors snapshot.setAvailableProcessors(sysDiagnostics.getAvailableProcessors()); snapshot.setProcessorLoadAverage(sysDiagnostics.getProcessorLoadAverage()); // threads snapshot.setDaemonThreads(sysDiagnostics.getDaemonThreads()); snapshot.setTotalThreads(sysDiagnostics.getTotalThreads()); // heap snapshot.setMaxHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxHeap())); snapshot.setMaxHeapBytes(sysDiagnostics.getMaxHeap()); snapshot.setTotalHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalHeap())); snapshot.setTotalHeapBytes(sysDiagnostics.getTotalHeap()); snapshot.setUsedHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedHeap())); snapshot.setUsedHeapBytes(sysDiagnostics.getUsedHeap()); snapshot.setFreeHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeHeap())); snapshot.setFreeHeapBytes(sysDiagnostics.getFreeHeap()); if (sysDiagnostics.getHeapUtilization() != -1) { snapshot.setHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getHeapUtilization())); } // non heap snapshot.setMaxNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxNonHeap())); snapshot.setMaxNonHeapBytes(sysDiagnostics.getMaxNonHeap()); snapshot.setTotalNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalNonHeap())); snapshot.setTotalNonHeapBytes(sysDiagnostics.getTotalNonHeap()); snapshot.setUsedNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedNonHeap())); snapshot.setUsedNonHeapBytes(sysDiagnostics.getUsedNonHeap()); snapshot.setFreeNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeNonHeap())); snapshot.setFreeNonHeapBytes(sysDiagnostics.getFreeNonHeap()); if (sysDiagnostics.getNonHeapUtilization() != -1) { snapshot.setNonHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getNonHeapUtilization())); } // flow file disk usage final SystemDiagnosticsSnapshotDTO.StorageUsageDTO flowFileRepositoryStorageUsageDto = createStorageUsageDTO(null, sysDiagnostics.getFlowFileRepositoryStorageUsage()); snapshot.setFlowFileRepositoryStorageUsage(flowFileRepositoryStorageUsageDto); // content disk usage final Set contentRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setContentRepositoryStorageUsage(contentRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getContentRepositoryStorageUsage().entrySet()) { contentRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // provenance disk usage final Set provenanceRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setProvenanceRepositoryStorageUsage(provenanceRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getProvenanceRepositoryStorageUsage().entrySet()) { provenanceRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // garbage collection final Set garbageCollectionDtos = new LinkedHashSet<>(); snapshot.setGarbageCollection(garbageCollectionDtos); for (final Map.Entry entry : sysDiagnostics.getGarbageCollection().entrySet()) { garbageCollectionDtos.add(createGarbageCollectionDTO(entry.getKey(), entry.getValue())); } // version info final SystemDiagnosticsSnapshotDTO.VersionInfoDTO versionInfoDto = createVersionInfoDTO(); snapshot.setVersionInfo(versionInfoDto); // uptime snapshot.setUptime(FormatUtils.formatHoursMinutesSeconds(sysDiagnostics.getUptime(), TimeUnit.MILLISECONDS)); return dto; }	long method	Long method2 Feature envy	t	f	t			0	12151	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-web/nifi-web-api/src/main/java/org/apache/nifi/web/api/dto/DtoFactory.java/#L3110-L3185	2	1842	12151
1217	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Inconsistent formatting 5. Poor naming conventions (e.g. "sql", "sel", "params") 6. Possible code duplication (e.g. in the "if (updateParams == null)" and "else" blocks) 7. Possible tight coupling to specific database implementation (referring to database-specific language like "deleteTargets" and "getFullName()") 8. Possible excessive use of boolean flags (e.g. "requiresTargetForDelete", "supportsSubselect", "supportsCorrelatedSubselect", "allowsAliasInBulkClause") 9. Possible violation of SOLID principles (e.g. Single Responsibility, Open/Closed) 10. Lack of comments and documentation on the purpose and logic of the code.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected SQLBuffer toBulkOperation(ClassMapping mapping, Select sel, JDBCStore store, Object[] params, Map updateParams) { SQLBuffer sql = new SQLBuffer(this); if (updateParams == null) { if (requiresTargetForDelete) { sql.append("DELETE "); SQLBuffer deleteTargets = getDeleteTargets(sel); sql.append(deleteTargets); sql.append(" FROM "); } else { sql.append("DELETE FROM "); } } else sql.append("UPDATE "); sel.addJoinClassConditions(); // if there is only a single table in the select, then we can // just issue a single DELETE FROM TABLE WHERE // statement; otherwise, since SQL doesn't allow deleting // from one of a multi-table select, we need to issue a subselect // like DELETE FROM TABLE WHERE EXISTS // (SELECT 1 FROM TABLE t0 WHERE t0.ID = TABLE.ID); also, some // databases do not allow aliases in delete statements, which // also causes us to use a subselect Collection selectedTables = getSelectTableAliases(sel); if (selectedTables.size() == 1 && supportsSubselect && allowsAliasInBulkClause) { SQLBuffer from; if (sel.getFromSelect() != null) from = getFromSelect(sel, false); else from = getFrom(sel, false); sql.append(from); appendUpdates(sel, store, sql, params, updateParams, allowsAliasInBulkClause); SQLBuffer where = sel.getWhere(); if (where != null && !where.isEmpty()) { sql.append(" WHERE "); sql.append(where); } return sql; } Table table = mapping.getTable(); String tableName = getFullName(table, false); // only use a subselect if the where is not empty; otherwise // an unqualified delete or update will work if (sel.getWhere() == null || sel.getWhere().isEmpty()) { sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); return sql; } // we need to use a subselect if we are to bulk delete where // the select includes multiple tables; if the database // doesn't support it, then we need to signal this by returning null if (!supportsSubselect || !supportsCorrelatedSubselect) return null; Column[] pks = mapping.getPrimaryKeyColumns(); sel.clearSelects(); sel.setDistinct(true); // if we have only a single PK, we can use a non-correlated // subquery (using an IN statement), which is much faster than // a correlated subquery (since a correlated subquery needs // to be executed once for each row in the table) if (pks.length == 1) { sel.select(pks[0]); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE "). append(pks[0]).append(" IN ("). append(sel.toSelect(false, null)).append(")"); } else { sel.clearSelects(); sel.setDistinct(false); // since the select is using a correlated subquery, we // only need to select a bogus virtual column sel.select("1", null); // add in the joins to the table Column[] cols = table.getPrimaryKey().getColumns(); SQLBuffer buf = new SQLBuffer(this); buf.append("("); for (int i = 0; i < cols.length; i++) { if (i > 0) buf.append(" AND "); // add in "t0.PK = MYTABLE.PK" buf.append(sel.getColumnAlias(cols[i])).append(" = "). append(table).append(catalogSeparator).append(cols[i]); } buf.append(")"); sel.where(buf, null); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE EXISTS ("). append(sel.toSelect(false, null)).append(")"); } return sql; }	long method	Long method2 Feature envy3 Duplicate code4 Inconsistent formatting5 Poor naming conventions (eg "sql", "sel", "params")6 Possible code duplication (eg in the "if (updateParams == null)" and "else" blocks)7 Possible tight coupling to specific database implementation (referring to database-specific language like "deleteTargets" and "getFullName()")8 Possible excessive use of boolean flags (eg "requiresTargetForDelete", "supportsSubselect", "supportsCorrelatedSubselect", "allowsAliasInBulkClause")9 Possible violation of SOLID principles (eg Single Responsibility, Open/Closed)	t	f	t	"sel", "params")6. Possible code duplication (e.g. in the "if (updateParams == null)" and "else" blocks)7. Possible tight coupling to specific database implementation (referring to database-specific language like "deleteTargets" and "getFullName()")8. Possible excessive use of boolean flags (e.g. "requiresTargetForDelete", "supportsSubselect", "supportsCorrelatedSubselect", "allowsAliasInBulkClause")9. Possible violation of SOLID principles (e.g. Single Responsibility, Open/Closed)		0	10323	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DBDictionary.java/#L2243-L2350	2	1217	10323
461	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public BytesRef next() { if (input.position() < end) { try { int code = input.readVInt(); boolean newField = (code & 1) != 0; if (newField) { field = input.readString(); } int prefix = code >>> 1; int suffix = input.readVInt(); readTermBytes(prefix, suffix); return bytes; } catch (IOException e) { throw new RuntimeException(e); } } else { field = null; return null; } }	long method	Long method2 Feature envy	t	f	t			0	4463	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/core/src/java/org/apache/lucene/index/PrefixCodedTerms.java/#L123-L143	2	461	4463
2426	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void run( IAction action ) { if ( !preGenerate( ) ) { return; } IFile file = getSelectedFile( ); if ( file != null ) { String url = file.getLocation( ).toOSString( ); Map options = new HashMap( ); options.put( WebViewer.RESOURCE_FOLDER_KEY, ReportPlugin.getDefault( ) .getResourceFolder( file.getProject( ) ) ); options.put( WebViewer.SERVLET_NAME_KEY, WebViewer.VIEWER_DOCUMENT ); Object adapter = ElementAdapterManager.getAdapter( action, IPreviewAction.class ); if ( adapter instanceof IPreviewAction ) { IPreviewAction delegate = (IPreviewAction) adapter; delegate.setProperty( IPreviewConstants.REPORT_PREVIEW_OPTIONS, options ); delegate.setProperty( IPreviewConstants.REPORT_FILE_PATH, url ); delegate.run( ); return; } try { WebViewer.display( url, options ); } catch ( Exception e ) { ExceptionUtil.handle( e ); return; } } else { action.setEnabled( false ); } }	long method	long method	t	t	t			0	14445	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.preview.web/src/org/eclipse/birt/report/designer/ui/ide/navigator/GenerateDocumentAction.java/#L39-L87	1	2426	14445
1603	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static void copyDirectory(final File srcDir, final File destDir) throws IOException { if (srcDir == null) { throw new NullPointerException("Source must not be null"); } if (destDir == null) { throw new NullPointerException("Destination must not be null"); } if (!srcDir.exists()) { throw new FileNotFoundException("Source '" + srcDir + "' does not exist"); } if (!srcDir.isDirectory()) { throw new IOException("Source '" + srcDir + "' exists but is not a directory"); } if (srcDir.getCanonicalPath().equals(destDir.getCanonicalPath())) { throw new IOException("Source '" + srcDir + "' and destination '" + destDir + "' are the same"); } // Cater for destination being directory within the source directory (see IO-141) List exclusionList = null; if (destDir.getCanonicalPath().startsWith(srcDir.getCanonicalPath())) { final File[] srcFiles = srcDir.listFiles(); if (srcFiles != null && srcFiles.length > 0) { exclusionList = new ArrayList<>(srcFiles.length); for (final File srcFile : srcFiles) { final File copiedFile = new File(destDir, srcFile.getName()); exclusionList.add(copiedFile.getCanonicalPath()); } } } doCopyDirectory(srcDir, destDir, exclusionList); }	long method	Long Method	t	f	t			0	11438	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-loader/src/main/java/org/apache/openejb/loader/IO.java/#L193-L223	1	1603	11438
3479	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void startElement(final String uri, final String localName, final String qname, final Attributes attributes) throws SAXException { // Verify and initialize the context stack at root element. if (contextStack.size() == 0) { if (!qname.equals(rootElement)) { throw new SAXConfigurationException( new ConfigurationException.IncorrectElement(rootElement, qname, this.source, locator.getLineNumber()), locator); } String all = attributes.getValue("includeAllClasses"); if ("true".equals(all)) allClasses = true; contextStack.push(qname); return; } else { if (qname.equals("classEntry")) { String path = attributes.getValue("path"); includedClasses.add(path); } else if (qname.equals("namespaceManifestEntry")) { String manifest = attributes.getValue("manifest"); String namespace = attributes.getValue("namespace"); fbArgs.add("-namespace"); fbArgs.add(namespace); String mf = contextPath + "/" + manifest; File f = new File(mf); if (!f.exists()) { mf = contextPath + "/src/" + manifest; } fbArgs.add(mf); fbArgs.add("-include-namespaces"); fbArgs.add(namespace); } } }	long method	Long method2 Feature envy	t	f	t			0	7119	https://github.com/apache/royale-compiler/blob/fbd9bc3b9e48c80dbd8c1d32a6f83221e314efdd/compiler-common/src/main/java/org/apache/royale/compiler/internal/config/FlashBuilderConfigurator.java/#L468-L510	2	3479	7119
2670	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: /* update subject DN */ subjectDN = cert.getSubjectX500Principal(); /* check for key needing to inherit alg parameters */ X509CertImpl icert = X509CertImpl.toImpl(cert); PublicKey newKey = cert.getPublicKey(); if (PKIX.isDSAPublicKeyWithoutParams(newKey)) { newKey = BasicChecker.makeInheritedParamsKey(newKey, pubKey); } /* update subject public key */ pubKey = newKey; /* * if this is a trusted cert (init == true), then we * don't update any of the remaining fields */ if (init) { init = false; return; } /* update subject key identifier */ subjKeyId = icert.getSubjectKeyIdentifierExtension(); /* update crlSign */ crlSign = RevocationChecker.certCanSignCrl(cert); /* update current name constraints */ if (nc != null) { nc.merge(icert.getNameConstraintsExtension()); } else { nc = icert.getNameConstraintsExtension(); if (nc != null) { // Make sure we do a clone here, because we're probably // going to modify this object later and we don't want to // be sharing it with a Certificate object! nc = (NameConstraintsExtension) nc.clone(); } } /* update policy state variables */ explicitPolicy = PolicyChecker.mergeExplicitPolicy(explicitPolicy, icert, false); policyMapping = PolicyChecker.mergePolicyMapping(policyMapping, icert); inhibitAnyPolicy = PolicyChecker.mergeInhibitAnyPolicy(inhibitAnyPolicy, icert); certIndex++; /* * Update remaining CA certs */ remainingCACerts = ConstraintsChecker.mergeBasicConstraints(cert, remainingCACerts); init = false; } /** * Returns a boolean flag indicating if a key lacking necessary key * algorithm parameters has been encountered. * * @return boolean flag indicating if key lacking parameters encountered. */	long method	long method	t	t	t			0	15211	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/provider/certpath/ReverseState.java/#L284-L348	1	2670	15211
598	{"response": "YES I found bad smells. The bad smells are: 1. Long method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: long recoverDrf(OplogEntryIdSet deletedIds, boolean alreadyRecoveredOnce, boolean latestOplog) { File drfFile = this.drf.f; if (drfFile == null) { this.haveRecoveredDrf = true; return 0L; } lockCompactor(); try { if (this.haveRecoveredDrf && !getHasDeletes()) return 0L; // do this while holding lock if (!this.haveRecoveredDrf) { this.haveRecoveredDrf = true; } logger.info("Recovering {} {} for disk store {}.", new Object[] {toString(), drfFile.getAbsolutePath(), getParent().getName()}); this.recoverDelEntryId = DiskStoreImpl.INVALID_ID; boolean readLastRecord = true; CountingDataInputStream dis = null; try { int recordCount = 0; boolean foundDiskStoreRecord = false; FileInputStream fis = null; try { fis = new FileInputStream(drfFile); dis = new CountingDataInputStream(new BufferedInputStream(fis, 32 * 1024), drfFile.length()); boolean endOfLog = false; while (!endOfLog) { if (dis.atEndOfFile()) { endOfLog = true; break; } readLastRecord = false; byte opCode = dis.readByte(); if (logger.isTraceEnabled(LogMarker.PERSIST_RECOVERY_VERBOSE)) { logger.trace(LogMarker.PERSIST_RECOVERY_VERBOSE, "drf byte={} location={}", opCode, Long.toHexString(dis.getCount())); } switch (opCode) { case OPLOG_EOF_ID: // we are at the end of the oplog. So we need to back up one byte dis.decrementCount(); endOfLog = true; break; case OPLOG_DEL_ENTRY_1ID: case OPLOG_DEL_ENTRY_2ID: case OPLOG_DEL_ENTRY_3ID: case OPLOG_DEL_ENTRY_4ID: case OPLOG_DEL_ENTRY_5ID: case OPLOG_DEL_ENTRY_6ID: case OPLOG_DEL_ENTRY_7ID: case OPLOG_DEL_ENTRY_8ID: readDelEntry(dis, opCode, deletedIds, parent); recordCount++; break; case OPLOG_DISK_STORE_ID: readDiskStoreRecord(dis, this.drf.f); foundDiskStoreRecord = true; recordCount++; break; case OPLOG_MAGIC_SEQ_ID: readOplogMagicSeqRecord(dis, this.drf.f, OPLOG_TYPE.DRF); break; case OPLOG_GEMFIRE_VERSION: readGemfireVersionRecord(dis, this.drf.f); recordCount++; break; case OPLOG_RVV: long idx = dis.getCount(); readRVVRecord(dis, this.drf.f, true, latestOplog); recordCount++; break; default: throw new DiskAccessException( String.format("Unknown opCode %s found in disk operation log.", opCode), getParent()); } readLastRecord = true; // @todo // if (rgn.isDestroyed()) { // break; // } } // while } finally { if (dis != null) { dis.close(); } if (fis != null) { fis.close(); } } if (!foundDiskStoreRecord && recordCount > 0) { throw new DiskAccessException( "The oplog file \"" + this.drf.f + "\" does not belong to the init file \"" + getParent().getInitFile() + "\". Drf did not contain a disk store id.", getParent()); } } catch (EOFException ignore) { // ignore since a partial record write can be caused by a crash } catch (IOException ex) { getParent().getCancelCriterion().checkCancelInProgress(ex); throw new DiskAccessException( String.format("Failed to read file during recovery from %s", drfFile.getPath()), ex, getParent()); } catch (CancelException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Cache was closed", e); } } catch (RegionDestroyedException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Region was destroyed", e); } } // Add the Oplog size to the Directory Holder which owns this oplog, // so that available space is correctly calculated & stats updated. long byteCount = 0; if (!readLastRecord) { // this means that there was a crash // and hence we should not continue to read // the next oplog this.crashed = true; if (dis != null) { byteCount = dis.getFileLength(); } } else { if (dis != null) { byteCount = dis.getCount(); } } if (!alreadyRecoveredOnce) { setRecoveredDrfSize(byteCount); this.dirHolder.incrementTotalOplogSize(byteCount); } return byteCount; } finally { unlockCompactor(); } }	long method	1. long method	t	t	t			0	5982	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/Oplog.java/#L1448-L1589	1	598	5982
394	{ "output": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final EObject entryRuleXMultiplicativeExpression() throws RecognitionException { EObject current = null; EObject iv_ruleXMultiplicativeExpression = null; try { // InternalEntities.g:1696:66: (iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF ) // InternalEntities.g:1697:2: iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXMultiplicativeExpressionRule()); } pushFollow(FOLLOW_1); iv_ruleXMultiplicativeExpression=ruleXMultiplicativeExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current =iv_ruleXMultiplicativeExpression; } match(input,EOF,FOLLOW_2); if (state.failed) return current; } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	long method	t	t	t			0	3978	https://github.com/eclipse/xtext-web/blob/ff7aa71dbdf9f1abf4cf3e3911c17707293dfe49/org.eclipse.xtext.web.example.entities/src-gen/org/eclipse/xtext/web/example/entities/parser/antlr/internal/InternalEntitiesParser.java/#L5034-L5068	1	394	3978
1305	YES I found bad smells. The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void addUTF8Region(StructurePointer clazz, String slotName, String additionalInfo, AbstractPointer utf8String) throws CorruptDataException { long offset = utf8String.getAddress() - clazz.getAddress(); /* We do not want to print UTF8 outside of the ROM class. */ long clazzSize = ((J9ROMClassPointer) clazz).romSize().longValue(); if ((offset > 0) && (offset < clazzSize)) { if (utf8String.notNull()) { long UTF8Length = getUTF8Length(J9UTF8Pointer.cast(utf8String)); if (utf8String.getAddress() < firstJ9_ROM_UTF8) { firstJ9_ROM_UTF8 = utf8String.getAddress(); } if ((utf8String.getAddress() + UTF8Length) > lastJ9_ROM_UTF8) { lastJ9_ROM_UTF8 = utf8String.getAddress() + UTF8Length; } classRegions.add(new J9ClassRegion(utf8String, SlotType.J9_ROM_UTF8, slotName, additionalInfo, UTF8Length, offset, true)); } } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	10673	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/debugtools/DDR_VM/src/com/ibm/j9ddr/vm29/tools/ddrinteractive/LinearDumper.java/#L277-L297	2	1305	10673
5771	YES, I found bad smells the bad smells are: 1. Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void finishRestore(final Timer.Context context, Map> commitToStats, List commitsToRollback, final String startRestoreTime, final String restoreToInstant) throws IOException { HoodieTable table = HoodieTable.getHoodieTable( new HoodieTableMetaClient(jsc.hadoopConfiguration(), config.getBasePath(), true), config, jsc); Optional durationInMs = Optional.empty(); Long numFilesDeleted = 0L; for (Map.Entry> commitToStat : commitToStats.entrySet()) { List stats = commitToStat.getValue(); numFilesDeleted = stats.stream().mapToLong(stat -> stat.getSuccessDeleteFiles().size()) .sum(); } if (context != null) { durationInMs = Optional.of(metrics.getDurationInMs(context.stop())); metrics.updateRollbackMetrics(durationInMs.get(), numFilesDeleted); } HoodieRestoreMetadata restoreMetadata = AvroUtils .convertRestoreMetadata(startRestoreTime, durationInMs, commitsToRollback, commitToStats); table.getActiveTimeline().saveAsComplete( new HoodieInstant(true, HoodieTimeline.RESTORE_ACTION, startRestoreTime), AvroUtils.serializeRestoreMetadata(restoreMetadata)); logger.info("Commits " + commitsToRollback + " rollback is complete. Restored dataset to " + restoreToInstant); if (!table.getActiveTimeline().getCleanerTimeline().empty()) { logger.info("Cleaning up older restore meta files"); // Cleanup of older cleaner meta files // TODO - make the commit archival generic and archive rollback metadata FSUtils.deleteOlderRollbackMetaFiles(fs, table.getMetaClient().getMetaPath(), table.getActiveTimeline().getRestoreTimeline().getInstants()); } }	long method	Long method	t	f	t			0	14811	https://github.com/apache/incubator-hudi/blob/194d904c99ebd013af55eac7509e3e79193dce77/hoodie-client/src/main/java/com/uber/hoodie/HoodieWriteClient.java/#L928-L957	1	5771	14811
5781	YES I found bad smells The bad smells are: 1. Long Method 2. Feature Envy.	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	Long Method2 Feature Envy	t	f	t			0	15317	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	1	5781	15317
1440	{"message": "YES I found bad smells", "bad smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void setVersions(final VersionTag versionTag) { this.memberId = versionTag.getMemberID(); int eVersion = versionTag.getEntryVersion(); this.entryVersionLowBytes = (short) (eVersion & 0xffff); this.entryVersionHighByte = (byte) ((eVersion & 0xff0000) >> 16); this.regionVersionHighBytes = versionTag.getRegionVersionHighBytes(); this.regionVersionLowBytes = versionTag.getRegionVersionLowBytes(); if (!versionTag.isGatewayTag() && this.distributedSystemId == versionTag.getDistributedSystemId()) { if (getVersionTimeStamp() <= versionTag.getVersionTimeStamp()) { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } else { versionTag.setVersionTimeStamp(getVersionTimeStamp()); } } else { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } this.distributedSystemId = (byte) (versionTag.getDistributedSystemId() & 0xff); }	long method	long method	t	t	t			0	10972	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/entries/VersionedStatsRegionEntryOffHeapIntKey.java/#L287-L306	1	1440	10972
908	{ "answer": "YES I found bad smells", "bad smells are": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	blob, long method	t	t	t	blob		0	8202	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	1	908	8202
1875	{ "message": "YES, I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void parseArray(NameSegment nameSeg) { String name = nameSeg.getPath(); ArraySegment arraySeg = ((ArraySegment) nameSeg.getChild()); int index = arraySeg.getIndex(); RequestedColumnImpl member = getImpl(name); if (member == null) { member = new RequestedColumnImpl(this, name); projection.add(name, member); } else if (member.isSimple()) { // Saw both a and a[x]. Occurs in project list. // Project all elements. member.projectAllElements(); return; } else if (member.hasIndex(index)) { throw UserException .validationError() .message("Duplicate array index in project list: %s[%d]", member.fullName(), index) .build(logger); } member.addIndex(index); // Drills SQL parser does not support map arrays: a[0].c // But, the SchemaPath does support them, so no harm in // parsing them here. if (! arraySeg.isLastPath()) { parseInternal(nameSeg); } }	long method	long method, feature envy	t	t	t	feature envy		0	12262	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/rowSet/project/RequestedTupleImpl.java/#L260-L291	1	1875	12262
592	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	Long method2 Feature envy	t	f	t			0	5902	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	2	592	5902
1829	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static byte[] getIP() { try { Enumeration allNetInterfaces = NetworkInterface.getNetworkInterfaces(); InetAddress ip = null; byte[] internalIP = null; while (allNetInterfaces.hasMoreElements()) { NetworkInterface netInterface = (NetworkInterface) allNetInterfaces.nextElement(); Enumeration addresses = netInterface.getInetAddresses(); while (addresses.hasMoreElements()) { ip = (InetAddress) addresses.nextElement(); if (ip != null && ip instanceof Inet4Address) { byte[] ipByte = ip.getAddress(); if (ipByte.length == 4) { if (ipCheck(ipByte)) { if (!isInternalIP(ipByte)) { return ipByte; } else if (internalIP == null) { internalIP = ipByte; } } } } } } if (internalIP != null) { return internalIP; } else { throw new RuntimeException("Can not get local ip"); } } catch (Exception e) { throw new RuntimeException("Can not get local ip", e); } }	long method	Long method2 Feature envy	t	f	t			0	12118	https://github.com/apache/rocketmq/blob/971fa8ed8b209b39bdfe41c57cd64576d244e6bd/common/src/main/java/org/apache/rocketmq/common/UtilAll.java/#L484-L516	2	1829	12118
995	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void startElement(String uri, String localName, String qName, Attributes attributes) throws SAXException { if (delegate != null) { delegateStack.push(qName); delegate.startElement(uri, localName, qName, attributes); } else if (domImplementation != null) { //domImplementation is set so we need to start a new DOM building sub-process TransformerHandler handler; try { handler = tFactory.newTransformerHandler(); } catch (TransformerConfigurationException e) { throw new SAXException("Error creating a new TransformerHandler", e); } Document doc = domImplementation.createDocument(uri, qName, null); //It's easier to work with an empty document, so remove the root element doc.removeChild(doc.getDocumentElement()); handler.setResult(new DOMResult(doc)); Area parent = (Area)areaStack.peek(); ((ForeignObject)parent).setDocument(doc); //activate delegate for nested foreign document domImplementation = null; //Not needed anymore now this.delegate = handler; delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { boolean handled = true; if ("".equals(uri)) { if (localName.equals("structureTree")) { /* The area tree parser no longer supports the structure tree. */ delegate = new DefaultHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = startAreaTreeElement(localName, attributes); } } else { ContentHandlerFactoryRegistry registry = userAgent.getContentHandlerFactoryRegistry(); ContentHandlerFactory factory = registry.getFactory(uri); if (factory != null) { delegate = factory.createContentHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = false; } } if (!handled) { if (uri == null || uri.length() == 0) { throw new SAXException("Unhandled element " + localName + " in namespace: " + uri); } else { log.warn("Unhandled element " + localName + " in namespace: " + uri); } } } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	9092	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/area/AreaTreeParser.java/#L260-L323	2	995	9092
997	{"message":"YES I found bad smells","bad_smells":["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void getSuggestions(final String query) { if (query == null || query.isEmpty()) { return; } // Initialize the locatorSugestion parameters locatorParams(SUGGEST_PLACE); // Attach a listener to the locator task since // the LocatorTask may or may not be loaded the // the very first time a user types text into the search box. // If the Locator is already loaded, the following listener // is invoked immediately. mLocator.addDoneLoadingListener(new Runnable() { @Override public void run() { // Does this locator support suggestions? if (mLocator.getLoadStatus().name() != LoadStatus.LOADED.name()){ //Log.i(TAG,"##### " + mLocator.getLoadStatus().name()); } else if (!mLocator.getLocatorInfo().isSupportsSuggestions()){ return; } //og.i(TAG,"****** " + mLocator.getLoadStatus().name()); final ListenableFuture> suggestionsFuture = mLocator.suggestAsync(query, suggestParams); // Attach a done listener that executes upon completion of the async call suggestionsFuture.addDoneListener(new Runnable() { @Override public void run() { try { // Get the suggestions returned from the locator task. // Store retrieved suggestions for future use (e.g. if the user // selects a retrieved suggestion, it can easily be // geocoded). mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList); } catch (Exception e) { Log.e(TAG, "Error on getting suggestions " + e.getMessage()); } } }); } }); // Initiate the asynchronous call mLocator.loadAsync(); }	long method	long method	t	t	t			0	9139	https://github.com/Esri/maps-app-android/blob/1af1f74ece08f678ce7de7bf173034d30e1cb100/maps-app/src/main/java/com/esri/android/mapsapp/MapFragment.java/#L735-L781	1	997	9139
2822	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @Nullable public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { // Invocation on EntityManager interface coming in... if (method.getName().equals("equals")) { // Only consider equal when proxies are identical. return (proxy == args[0]); } else if (method.getName().equals("hashCode")) { // Use hashCode of EntityManager proxy. return hashCode(); } else if (method.getName().equals("toString")) { // Deliver toString without touching a target EntityManager. return "Shared EntityManager proxy for target factory [" + this.targetFactory + "]"; } else if (method.getName().equals("getEntityManagerFactory")) { // JPA 2.0: return EntityManagerFactory without creating an EntityManager. return this.targetFactory; } else if (method.getName().equals("getCriteriaBuilder") || method.getName().equals("getMetamodel")) { // JPA 2.0: return EntityManagerFactory's CriteriaBuilder/Metamodel (avoid creation of EntityManager) try { return EntityManagerFactory.class.getMethod(method.getName()).invoke(this.targetFactory); } catch (InvocationTargetException ex) { throw ex.getTargetException(); } } else if (method.getName().equals("unwrap")) { // JPA 2.0: handle unwrap method - could be a proxy match. Class targetClass = (Class) args[0]; if (targetClass != null && targetClass.isInstance(proxy)) { return proxy; } } else if (method.getName().equals("isOpen")) { // Handle isOpen method: always return true. return true; } else if (method.getName().equals("close")) { // Handle close method: suppress, not valid. return null; } else if (method.getName().equals("getTransaction")) { throw new IllegalStateException( "Not allowed to create transaction on shared EntityManager - " + "use Spring transactions or EJB CMT instead"); } // Determine current EntityManager: either the transactional one // managed by the factory or a temporary one for the given invocation. EntityManager target = EntityManagerFactoryUtils.doGetTransactionalEntityManager( this.targetFactory, this.properties, this.synchronizedWithTransaction); if (method.getName().equals("getTargetEntityManager")) { // Handle EntityManagerProxy interface. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } return target; } else if (method.getName().equals("unwrap")) { Class targetClass = (Class) args[0]; if (targetClass == null) { return (target != null ? target : proxy); } // We need a transactional target now. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } // Still perform unwrap call on target EntityManager. } else if (transactionRequiringMethods.contains(method.getName())) { // We need a transactional target now, according to the JPA spec. // Otherwise, the operation would get accepted but remain unflushed... if (target == null || (!TransactionSynchronizationManager.isActualTransactionActive() && !target.getTransaction().isActive())) { throw new TransactionRequiredException("No EntityManager with actual transaction available " + "for current thread - cannot reliably process '" + method.getName() + "' call"); } } // Regular EntityManager operations. boolean isNewEm = false; if (target == null) { logger.debug("Creating new EntityManager for shared EntityManager invocation"); target = (!CollectionUtils.isEmpty(this.properties) ? this.targetFactory.createEntityManager(this.properties) : this.targetFactory.createEntityManager()); isNewEm = true; } // Invoke method on current EntityManager. try { Object result = method.invoke(target, args); if (result instanceof Query) { Query query = (Query) result; if (isNewEm) { Class[] ifcs = ClassUtils.getAllInterfacesForClass(query.getClass(), this.proxyClassLoader); result = Proxy.newProxyInstance(this.proxyClassLoader, ifcs, new DeferredQueryInvocationHandler(query, target)); isNewEm = false; } else { EntityManagerFactoryUtils.applyTransactionTimeout(query, this.targetFactory); } } return result; } catch (InvocationTargetException ex) { throw ex.getTargetException(); } finally { if (isNewEm) { EntityManagerFactoryUtils.closeEntityManager(target); } } }	long method	Long method2 Feature envy	t	f	t			0	1499	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-orm/src/main/java/org/springframework/orm/jpa/SharedEntityManagerCreator.java/#L212-L331	2	2822	1499
1657	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static int reconfigureNetworking() { // This uses values from the property settings if (Sage.getBoolean(NET_CONFIG_WIRED, true)) { // Bring down the wireless interface if it's there bringDownWireless(); setupNetworking(Sage.get("linux/wired_network_port", "eth0")); } else { // Bring down the wired interface if it's there if (Sage.getBoolean("linux/disable_wired_when_wireless_is_enabled", false)) bringDownWired(); // Be sure the wired interface is loaded (it may need to be before it is configured) IOUtils.exec2("ifconfig " + Sage.get("linux/wireless_network_port", "eth1") + " up"); // Setup the wireless networking properties before we try to connect to the network or it won't work IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " essid " + Sage.get(NET_CONFIG_SSID, "any")); String crypto = Sage.get(NET_CONFIG_ENCRYPTION, "WPA"); if ("None".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key off"); } else { // Check if the key is all hex String key = Sage.get(NET_CONFIG_ENCRYPTION_KEY, ""); boolean hexKey = true; for (int i = 0; i < key.length(); i++) { if (Character.digit(key.charAt(i), 16) < 0) { hexKey = false; break; } } if ("WEP".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key on"); if (hexKey) IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key " + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); else IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key s:" + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); } else // WPA { // NOT FINISHED YET, we'll need to setup a configuration file for wpa_supplicant and then run it } } setupNetworking(Sage.get("linux/wireless_network_port", "eth1")); } return 0; }	long method	Long Method, Data Class	t	f	t	Data Class		0	11601	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/LinuxUtils.java/#L51-L108	1	1657	11601
1934	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final Element getDocumentElement() { int dochandle=dtm.getDocument(); int elementhandle=DTM.NULL; for(int kidhandle=dtm.getFirstChild(dochandle); kidhandle!=DTM.NULL; kidhandle=dtm.getNextSibling(kidhandle)) { switch(dtm.getNodeType(kidhandle)) { case Node.ELEMENT_NODE: if(elementhandle!=DTM.NULL) { elementhandle=DTM.NULL; // More than one; ill-formed. kidhandle=dtm.getLastChild(dochandle); // End loop } else elementhandle=kidhandle; break; // These are harmless; document is still wellformed case Node.COMMENT_NODE: case Node.PROCESSING_INSTRUCTION_NODE: case Node.DOCUMENT_TYPE_NODE: break; default: elementhandle=DTM.NULL; // ill-formed kidhandle=dtm.getLastChild(dochandle); // End loop break; } } if(elementhandle==DTM.NULL) throw new DTMDOMException(DOMException.NOT_SUPPORTED_ERR); else return (Element)(dtm.getNode(elementhandle)); }	long method	long method	t	t	t			0	12462	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xml/internal/dtm/ref/DTMNodeProxy.java/#L619-L656	1	1934	12462
1933	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void widgetSelected( SelectionEvent e ) { Object widget = e.widget; if ( widget == btnVisible ) { // Notify Listeners that a change has occurred in the value fireValueChangedEvent( GanttLineAttributesComposite.VISIBILITY_CHANGED_EVENT, Boolean.valueOf( btnVisible.getSelectionState( ) == ChartCheckbox.STATE_SELECTED ), ( btnVisible.getSelectionState( ) == ChartCheckbox.STATE_GRAYED ) ? ChartUIExtensionUtil.PROPERTY_UNSET : ChartUIExtensionUtil.PROPERTY_UPDATE ); // Notification may cause this class disposed if ( isDisposed( ) ) { return; } // Enable/Disable UI Elements boolean bEnableUI = context.getUIFactory( ).canEnableUI( btnVisible ); if ( bEnableStyles ) { lblStyle.setEnabled( bEnableUI ); cmbStyle.setEnabled( bEnableUI ); } if ( bEnableWidths ) { lblWidth.setEnabled( bEnableUI ); iscWidth.setEnabled( bEnableUI ); } if ( bEnableColor ) { lblColor.setEnabled( bEnableUI ); cmbColor.setEnabled( bEnableUI ); } } }	long method	long method	t	t	t			0	12457	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/composites/GanttLineAttributesComposite.java/#L365-L398	1	1933	12457
2306	{ "message": "YES I found bad smells", "detected_bad_smells": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean optimizeForGoal(ClusterModel clusterModel, Goal goal, GoalViolations goalViolations, Set excludedBrokersForLeadership, Set excludedBrokersForReplicaMove) throws KafkaCruiseControlException { if (clusterModel.topics().isEmpty()) { LOG.info("Skipping goal violation detection because the cluster model does not have any topic."); return false; } Map> initReplicaDistribution = clusterModel.getReplicaDistribution(); Map initLeaderDistribution = clusterModel.getLeaderDistribution(); try { goal.optimize(clusterModel, new HashSet<>(), new OptimizationOptions(excludedTopics(clusterModel), excludedBrokersForLeadership, excludedBrokersForReplicaMove)); } catch (OptimizationFailureException ofe) { // An OptimizationFailureException indicates (1) a hard goal violation that cannot be fixed typically due to // lack of physical hardware (e.g. insufficient number of racks to satisfy rack awareness, insufficient number // of brokers to satisfy Replica Capacity Goal, or insufficient number of resources to satisfy resource // capacity goals), or (2) a failure to move offline replicas away from dead brokers/disks. goalViolations.addViolation(goal.name(), false); return true; } Set proposals = AnalyzerUtils.getDiff(initReplicaDistribution, initLeaderDistribution, clusterModel); LOG.trace("{} generated {} proposals", goal.name(), proposals.size()); if (!proposals.isEmpty()) { // A goal violation that can be optimized by applying the generated proposals. goalViolations.addViolation(goal.name(), true); return true; } else { // The goal is already satisfied. return false; } }	long method	1. long method	t	t	t			0	14069	https://github.com/linkedin/cruise-control/blob/d35af1b6d5a87046e6cd173948755a1e50faa531/cruise-control/src/main/java/com/linkedin/kafka/cruisecontrol/detector/GoalViolationDetector.java/#L217-L251	1	2306	14069
861	{ "output": "YES I found bad smells", "detected_bad_smells": [ "the bad smells are: 1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void decide(Authentication authentication, Object object, Collection configAttributes) throws AccessDeniedException { int deny = 0; for (AccessDecisionVoter voter : getDecisionVoters()) { int result = voter.vote(authentication, object, configAttributes); if (logger.isDebugEnabled()) { logger.debug("Voter: " + voter + ", returned: " + result); } switch (result) { case AccessDecisionVoter.ACCESS_GRANTED: return; case AccessDecisionVoter.ACCESS_DENIED: deny++; break; default: break; } } if (deny > 0) { throw new AccessDeniedException(messages.getMessage( "AbstractAccessDecisionManager.accessDenied", "Access is denied")); } // To get this far, every AccessDecisionVoter abstained checkAllowIfAllAbstainDecisions(); }	long method	the bad smells are: 1. long method	t	t	t			0	7903	https://github.com/spring-projects/spring-security/blob/8dd2864dea3de5ea98637a1629debc89c29e76c0/core/src/main/java/org/springframework/security/access/vote/AffirmativeBased.java/#L58-L90	1	861	7903
5691	YES I found bad smells The bad smells are: 1. Blob, 2. Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("try") private void doRun(Map entryPoints, Method mainEntryPoint, JavaMainSupport javaMainSupport, String imageName, AbstractBootImage.NativeImageKind k, SubstitutionProcessor harnessSubstitutions, ForkJoinPool compilationExecutor, ForkJoinPool analysisExecutor) { List hostedEntryPoints = new ArrayList<>(); OptionValues options = HostedOptionValues.singleton(); SnippetReflectionProvider originalSnippetReflection = GraalAccess.getOriginalSnippetReflection(); try (DebugContext debug = DebugContext.create(options, new GraalDebugHandlersFactory(originalSnippetReflection))) { setupNativeImage(imageName, options, entryPoints, javaMainSupport, harnessSubstitutions, analysisExecutor, originalSnippetReflection, debug); boolean returnAfterAnalysis = runPointsToAnalysis(imageName, options, debug); if (returnAfterAnalysis) { return; } NativeImageHeap heap; HostedMethod mainEntryPointHostedStub; HostedMetaAccess hMetaAccess; SharedRuntimeConfigurationBuilder runtime; try (StopTimer t = new Timer(imageName, "universe").start()) { hUniverse = new HostedUniverse(bigbang); hMetaAccess = new HostedMetaAccess(hUniverse, bigbang.getMetaAccess()); new UniverseBuilder(aUniverse, bigbang.getMetaAccess(), hUniverse, hMetaAccess, HostedConfiguration.instance().createStaticAnalysisResultsBuilder(bigbang, hUniverse), bigbang.getUnsupportedFeatures()).build(debug); runtime = new HostedRuntimeConfigurationBuilder(options, bigbang.getHostVM(), hUniverse, hMetaAccess, bigbang.getProviders()).build(); registerGraphBuilderPlugins(featureHandler, runtime.getRuntimeConfig(), (HostedProviders) runtime.getRuntimeConfig().getProviders(), bigbang.getMetaAccess(), aUniverse, hMetaAccess, hUniverse, nativeLibraries, loader, false, true, bigbang.getAnnotationSubstitutionProcessor(), new SubstrateClassInitializationPlugin((SVMHost) aUniverse.hostVM()), bigbang.getHostVM().getClassInitializationSupport()); if (NativeImageOptions.PrintUniverse.getValue()) { printTypes(); } /* Find the entry point methods in the hosted world. */ for (AnalysisMethod m : aUniverse.getMethods()) { if (m.isEntryPoint()) { HostedMethod found = hUniverse.lookup(m); assert found != null; hostedEntryPoints.add(found); } } /* Find main entry point */ if (mainEntryPoint != null) { AnalysisMethod analysisStub = CEntryPointCallStubSupport.singleton().getStubForMethod(mainEntryPoint); mainEntryPointHostedStub = (HostedMethod) hMetaAccess.getUniverse().lookup(analysisStub); assert hostedEntryPoints.contains(mainEntryPointHostedStub); } else { mainEntryPointHostedStub = null; } if (hostedEntryPoints.size() == 0) { throw UserError.abort("Warning: no entry points found, i.e., no method annotated with @" + CEntryPoint.class.getSimpleName()); } heap = new NativeImageHeap(aUniverse, hUniverse, hMetaAccess); BeforeCompilationAccessImpl config = new BeforeCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.beforeCompilation(config)); bigbang.getUnsupportedFeatures().report(bigbang); } catch (UnsupportedFeatureException ufe) { throw UserError.abort(ufe.getMessage()); } recordMethodsWithStackValues(); recordRestrictHeapAccessCallees(aUniverse.getMethods()); /* * After this point, all TypeFlow (and therefore also TypeState) objects are unreachable * and can be garbage collected. This is important to keep the overall memory footprint * low. However, this also means we no longer have complete call chain information. Only * the summarized information stored in the StaticAnalysisResult objects is available * after this point. */ bigbang.cleanupAfterAnalysis(); NativeImageCodeCache codeCache; CompileQueue compileQueue; try (StopTimer t = new Timer(imageName, "compile").start()) { compileQueue = HostedConfiguration.instance().createCompileQueue(debug, featureHandler, hUniverse, runtime, DeoptTester.enabled(), bigbang.getProviders().getSnippetReflection(), compilationExecutor); compileQueue.finish(debug); /* release memory taken by graphs for the image writing */ hUniverse.getMethods().forEach(HostedMethod::clear); codeCache = NativeImageCodeCacheFactory.get().newCodeCache(compileQueue, heap); codeCache.layoutConstants(); codeCache.layoutMethods(debug, imageName); AfterCompilationAccessImpl config = new AfterCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.afterCompilation(config)); } try (Indent indent = debug.logAndIndent("create native image")) { try (DebugContext.Scope buildScope = debug.scope("CreateBootImage")) { try (StopTimer t = new Timer(imageName, "image").start()) { // Start building the model of the native image heap. heap.addInitialObjects(); // Then build the model of the code cache, which can // add objects to the native image heap. codeCache.addConstantsToHeap(); // Finish building the model of the native image heap. heap.addTrailingObjects(); AfterHeapLayoutAccessImpl config = new AfterHeapLayoutAccessImpl(featureHandler, loader, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.afterHeapLayout(config)); this.image = AbstractBootImage.create(k, hUniverse, hMetaAccess, nativeLibraries, heap, codeCache, hostedEntryPoints, mainEntryPointHostedStub, loader.getClassLoader()); image.build(debug); if (NativeImageOptions.PrintUniverse.getValue()) { /* * This debug output must be printed _after_ and not _during_ image * building, because it adds some PrintStream objects to static fields, * which disrupts the heap. */ codeCache.printCompilationResults(); } } } } BeforeImageWriteAccessImpl beforeConfig = new BeforeImageWriteAccessImpl(featureHandler, loader, imageName, image, runtime.getRuntimeConfig(), aUniverse, hUniverse, optionProvider, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.beforeImageWrite(beforeConfig)); try (StopTimer t = new Timer(imageName, "write").start()) { /* * This will write the debug info too -- i.e. we may be writing more than one file, * if the debug info is in a separate file. We need to push writing the file to the * image implementation, because whether the debug info and image share a file or * not is an implementation detail of the image. */ Path tmpDir = tempDirectory(); Path imagePath = image.write(debug, generatedFiles(HostedOptionValues.singleton()), tmpDir, imageName, beforeConfig).getOutputFile(); AfterImageWriteAccessImpl afterConfig = new AfterImageWriteAccessImpl(featureHandler, loader, hUniverse, imagePath, tmpDir, image.getBootImageKind(), debug); featureHandler.forEachFeature(feature -> feature.afterImageWrite(afterConfig)); } } }	long method	Blob, 2 Long method	t	f	t	. Blob		0	12087	https://github.com/oracle/graal/blob/4deb681aaaa79c248115037fc8e399c9876619fd/substratevm/src/com.oracle.svm.hosted/src/com/oracle/svm/hosted/NativeImageGenerator.java/#L487-L632	1	5691	12087
371	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: if (hasCommandlineArgs()) { arguments = parseCommandlineArgs(); } try { Iterator iter = this.determineRelevantPluginDependencies().iterator(); while (iter.hasNext()) { Artifact classPathElement = iter.next(); // we must skip org.osgi.core, otherwise we get a // java.lang.NoClassDefFoundError: org.osgi.vendor.framework property not set if (classPathElement.getArtifactId().equals("org.osgi.core")) { if (getLog().isDebugEnabled()) { getLog().debug("Skipping org.osgi.core -> " + classPathElement.getGroupId() + "/" + classPathElement.getArtifactId() + "/" + classPathElement.getVersion()); } continue; } getLog().debug("Adding plugin dependency artifact: " + classPathElement.getArtifactId() + " to classpath"); path.add(classPathElement.getFile().toURI().toURL()); } } catch (MalformedURLException e) { throw new MojoExecutionException("Error during setting up classpath", e); } }	long method	Long method2 Feature envy	t	f	t			0	3852	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/tooling/maven/camel-maven-plugin/src/main/java/org/apache/camel/maven/RunMojo.java/#L734-L761	2	371	3852
2326	YES I found bad smells the bad smells are: 1.Feature envy, 2.Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public List discoverHosts(final AddHostCmd cmd) throws IllegalArgumentException, DiscoveryException, InvalidParameterValueException { Long dcId = cmd.getZoneId(); final Long podId = cmd.getPodId(); final Long clusterId = cmd.getClusterId(); String clusterName = cmd.getClusterName(); final String url = cmd.getUrl(); final String username = cmd.getUsername(); final String password = cmd.getPassword(); final List hostTags = cmd.getHostTags(); dcId = _accountMgr.checkAccessAndSpecifyAuthority(CallContext.current().getCallingAccount(), dcId); // this is for standalone option if (clusterName == null && clusterId == null) { clusterName = "Standalone-" + url; } if (clusterId != null) { final ClusterVO cluster = _clusterDao.findById(clusterId); if (cluster == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("can not find cluster for specified clusterId"); ex.addProxyObject(clusterId.toString(), "clusterId"); throw ex; } else { if (cluster.getGuid() == null) { final List hosts = listAllHostsInCluster(clusterId); if (!hosts.isEmpty()) { final CloudRuntimeException ex = new CloudRuntimeException("Guid is not updated for cluster with specified cluster id; need to wait for hosts in this cluster to come up"); ex.addProxyObject(cluster.getUuid(), "clusterId"); throw ex; } } } } return discoverHostsFull(dcId, podId, clusterId, clusterName, url, username, password, cmd.getHypervisor(), hostTags, cmd.getFullUrlParams(), false); }	long method	Feature envy, 2Long method	t	f	t	.Feature envy		0	14143	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/resource/ResourceManagerImpl.java/#L573-L611	2	2326	14143
2297	YES, I found bad smells: 1. Long method 2. Complex code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final void mRULE_STRING() throws RecognitionException { try { int _type = RULE_STRING; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalXImportSectionTestLang.g:6435:13: ( ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) ) // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) { // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) int alt15=2; int LA15_0 = input.LA(1); if ( (LA15_0=='\"') ) { alt15=1; } else if ( (LA15_0=='\'') ) { alt15=2; } else { NoViableAltException nvae = new NoViableAltException("", 15, 0, input); throw nvae; } switch (alt15) { case 1 : // InternalXImportSectionTestLang.g:6435:16: '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? { match('\"'); // InternalXImportSectionTestLang.g:6435:20: ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* loop11: do { int alt11=3; int LA11_0 = input.LA(1); if ( (LA11_0=='\\') ) { alt11=1; } else if ( ((LA11_0>='\u0000' && LA11_0<='!')||(LA11_0>='#' && LA11_0<='[')||(LA11_0>=']' && LA11_0<='\uFFFF')) ) { alt11=2; } switch (alt11) { case 1 : // InternalXImportSectionTestLang.g:6435:21: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:28: ~ ( ( '\\\\' | '\"' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='!')||(input.LA(1)>='#' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop11; } } while (true); // InternalXImportSectionTestLang.g:6435:44: ( '\"' )? int alt12=2; int LA12_0 = input.LA(1); if ( (LA12_0=='\"') ) { alt12=1; } switch (alt12) { case 1 : // InternalXImportSectionTestLang.g:6435:44: '\"' { match('\"'); } break; } } break; case 2 : // InternalXImportSectionTestLang.g:6435:49: '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? { match('\''); // InternalXImportSectionTestLang.g:6435:54: ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* loop13: do { int alt13=3; int LA13_0 = input.LA(1); if ( (LA13_0=='\\') ) { alt13=1; } else if ( ((LA13_0>='\u0000' && LA13_0<='&')||(LA13_0>='(' && LA13_0<='[')||(LA13_0>=']' && LA13_0<='\uFFFF')) ) { alt13=2; } switch (alt13) { case 1 : // InternalXImportSectionTestLang.g:6435:55: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:62: ~ ( ( '\\\\' | '\\'' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='&')||(input.LA(1)>='(' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop13; } } while (true); // InternalXImportSectionTestLang.g:6435:79: ( '\\'' )? int alt14=2; int LA14_0 = input.LA(1); if ( (LA14_0=='\'') ) { alt14=1; } switch (alt14) { case 1 : // InternalXImportSectionTestLang.g:6435:79: '\\'' { match('\''); } break; } } break; } } state.type = _type; state.channel = _channel; } finally { } }	long method	Long method2 Complex code	t	f	t			0	14024	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase.testlanguages/src-gen/org/eclipse/xtext/xbase/testlanguages/parser/antlr/internal/InternalXImportSectionTestLangLexer.java/#L2127-L2300	2	2297	14024
513	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void buildContent( ) { // Defines provider. IDescriptorProvider nameProvider = new TextPropertyDescriptorProvider( IDesignElementModel.NAME_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); // Defines section. TextSection nameSection = new TextSection( nameProvider.getDisplayName( ), container, true ); nameSection.setProvider( nameProvider ); nameSection.setLayoutNum( 6 ); nameSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_NAME, nameSection ); //$NON-NLS-1$ ComboPropertyDescriptorProvider variableTypeProvider = new ComboPropertyDescriptorProvider( IVariableElementModel.TYPE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); variableTypeProvider.enableReset( true ); ComboSection variableTypeSection = new ComboSection( variableTypeProvider.getDisplayName( ), container, true ); variableTypeSection.setProvider( variableTypeProvider ); variableTypeSection.setLayoutNum( 6 ); variableTypeSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_TYPE, variableTypeSection ); ExpressionPropertyDescriptorProvider variableValueProvider = new ExpressionPropertyDescriptorProvider( IVariableElementModel.VALUE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); ExpressionSection variableValueSection = new ExpressionSection( variableValueProvider.getDisplayName( ), container, true ); variableValueSection.setMulti(false); variableValueSection.setProvider( variableValueProvider ); variableValueSection.setWidth( 500 ); variableValueSection.setLayoutNum( 6 ); addSection( PageSectionId.VARIABLE_VALUE, variableValueSection ); }	long method	long method	t	t	t			0	5219	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.views/src/org/eclipse/birt/report/designer/internal/ui/views/attributes/page/VariablePage.java/#L32-L74	1	513	5219
999	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: Type asTuple() { final Type result; if (types.size() == 0) { result = unit.getEmptyType(); } else { final Type sequentialType; if (variadic) { Part part = new Part("Sequence", Collections.singletonList(getLast())); sequentialType = loadType("ceylon.language", atLeastOne ? "ceylon.language.Sequence" : "ceylon.language.Sequential", part, null); } else { sequentialType = unit.getEmptyType(); } if (variadic && types.size() == 1) { result = sequentialType; } else { Part part = new Part(); // if we're variadic we put the element type there because we skip it below // if we're not variadic we are not going to skip it so let's not union it with itself Type union = variadic ? getLast() : null; Type tupleType = sequentialType; // A,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // A=,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // tupleType = [A,[B]|[]]|[] // A=,B* // union = B // tupleType = [B*] // t = A // union = A|B // tupleType = [A,[B*]] // tupleType = [A,[B*]]|[] int makeDefaulted = defaulted; for (int ii = types.size()-(variadic? 2 : 1); ii >= 0; ii--) { Type t = types.get(ii); // FIXME: subtyping in the type parser may cause issues if(union != null) // any second element (variadic or not) union = ModelUtil.unionType(union, t, unit); else union = t; // any first element part.parameters = Arrays.asList(union, t, tupleType); part.name = "Tuple"; tupleType = loadType("ceylon.language", "ceylon.language.Tuple", part, null); if(makeDefaulted > 0){ makeDefaulted--; tupleType = union(Arrays.asList(unit.getEmptyType(), tupleType), unit); } } result = tupleType; } } return result; }	long method	long method	t	t	t			0	9162	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/model/src/org/eclipse/ceylon/model/loader/TypeParser.java/#L431-L505	1	999	9162
449	{ "output": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); // define symbols mPointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.Style.SQUARE, 0xFFFF0000, 20); mLineSymbol = new SimpleLineSymbol(SimpleLineSymbol.Style.SOLID, 0xFFFF8800, 4); mFillSymbol = new SimpleFillSymbol(SimpleFillSymbol.Style.CROSS, 0x40FFA9A9, mLineSymbol); // inflate map view from layout mMapView = findViewById(R.id.mapView); // create a map with the Basemap Type topographic ArcGISMap map = new ArcGISMap(Basemap.Type.LIGHT_GRAY_CANVAS, 34.056295, -117.195800, 16); // set the map to be displayed in this view mMapView.setMap(map); mGraphicsOverlay = new GraphicsOverlay(); mMapView.getGraphicsOverlays().add(mGraphicsOverlay); // create a new sketch editor and add it to the map view mSketchEditor = new SketchEditor(); mMapView.setSketchEditor(mSketchEditor); // get buttons from layouts mPointButton = findViewById(R.id.pointButton); mMultiPointButton = findViewById(R.id.pointsButton); mPolylineButton = findViewById(R.id.polylineButton); mPolygonButton = findViewById(R.id.polygonButton); mFreehandLineButton = findViewById(R.id.freehandLineButton); mFreehandPolygonButton = findViewById(R.id.freehandPolygonButton); // add click listeners mPointButton.setOnClickListener(view -> createModePoint()); mMultiPointButton.setOnClickListener(view -> createModeMultipoint()); mPolylineButton.setOnClickListener(view -> createModePolyline()); mPolygonButton.setOnClickListener(view -> createModePolygon()); mFreehandLineButton.setOnClickListener(view -> createModeFreehandLine()); mFreehandPolygonButton.setOnClickListener(view -> createModeFreehandPolygon()); }	long method	1. long method, 2. data class	t	t	t	2. data class		0	4369	https://github.com/Esri/arcgis-runtime-samples-android/blob/22b9a4c99c82a75a128b64703c0c1ffb2f9f5293/java/sketch-editor/src/main/java/com/esri/arcgisruntime/sample/sketcheditor/MainActivity.java/#L44-L83	1	449	4369
1710	{ "response": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String getOatFileInstructionSet(File oatFile) throws Throwable { ShareElfFile elfFile = null; String result = ""; try { elfFile = new ShareElfFile(oatFile); final ShareElfFile.SectionHeader roDataHdr = elfFile.getSectionHeaderByName(".rodata"); if (roDataHdr == null) { throw new IOException("Unable to find .rodata section."); } final FileChannel channel = elfFile.getChannel(); channel.position(roDataHdr.shOffset); final byte[] oatMagicAndVersion = new byte[8]; ShareElfFile.readUntilLimit(channel, ByteBuffer.wrap(oatMagicAndVersion), "Failed to read oat magic and version."); if (oatMagicAndVersion[0] != 'o' || oatMagicAndVersion[1] != 'a' || oatMagicAndVersion[2] != 't' || oatMagicAndVersion[3] != '\n') { throw new IOException( String.format("Bad oat magic: %x %x %x %x", oatMagicAndVersion[0], oatMagicAndVersion[1], oatMagicAndVersion[2], oatMagicAndVersion[3]) ); } final int versionOffsetFromOatBegin = 4; final int versionBytes = 3; final String oatVersion = new String(oatMagicAndVersion, versionOffsetFromOatBegin, versionBytes, Charset.forName("ASCII")); try { Integer.parseInt(oatVersion); } catch (NumberFormatException e) { throw new IOException("Bad oat version: " + oatVersion); } ByteBuffer buffer = ByteBuffer.allocate(128); buffer.order(elfFile.getDataOrder()); // TODO This is a risk point, since each oat version may use a different offset. // So far it's ok. Perhaps we should use oatVersionNum to judge the right offset in // the future. final int isaNumOffsetFromOatBegin = 12; channel.position(roDataHdr.shOffset + isaNumOffsetFromOatBegin); buffer.limit(4); ShareElfFile.readUntilLimit(channel, buffer, "Failed to read isa num."); int isaNum = buffer.getInt(); if (isaNum < 0 || isaNum >= InstructionSet.values().length) { throw new IOException("Bad isa num: " + isaNum); } switch (InstructionSet.values()[isaNum]) { case kArm: case kThumb2: result = "arm"; break; case kArm64: result = "arm64"; break; case kX86: result = "x86"; break; case kX86_64: result = "x86_64"; break; case kMips: result = "mips"; break; case kMips64: result = "mips64"; break; case kNone: result = "none"; break; default: throw new IOException("Should not reach here."); } } finally { if (elfFile != null) { try { elfFile.close(); } catch (Exception ignored) { // Ignored. } } } return result; }	long method	1, Long Method	t	f	t	1		0	11765	https://github.com/Tencent/tinker/blob/7523900600317ebd618f3505434176b381bd0bc2/tinker-android/tinker-android-loader/src/main/java/com/tencent/tinker/loader/shareutil/ShareOatUtil.java/#L48-L139	1	1710	11765
1682	return HiveAlgorithmsUtil.getJoinCumulativeMemoryWithinPhaseSplit(join); YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: } ImmutableBitSet streaming = streamingBuilder.build(); final double cpuCost = algoUtils.computeBucketMapJoinCPUCost(cardinalities, streaming); // 3. IO cost = cost of transferring small tables to join node * // degree of parallelism final Double leftRAverageSize = mq.getAverageRowSize(join.getLeft()); final Double rightRAverageSize = mq.getAverageRowSize(join.getRight()); if (leftRAverageSize == null || rightRAverageSize == null) { return null; } ImmutableList> relationInfos = new ImmutableList.Builder>(). add(new Pair(leftRCount,leftRAverageSize)). add(new Pair(rightRCount,rightRAverageSize)). build(); //TODO: No Of buckets is not same as no of splits JoinAlgorithm oldAlgo = join.getJoinAlgorithm(); join.setJoinAlgorithm(TezBucketJoinAlgorithm.INSTANCE); final int parallelism = mq.splitCount(join) == null ? 1 : mq.splitCount(join); join.setJoinAlgorithm(oldAlgo); final double ioCost = algoUtils.computeBucketMapJoinIOCost(relationInfos, streaming, parallelism); // 4. Result return HiveCost.FACTORY.makeCost(rCount, cpuCost, ioCost); } @Override public ImmutableList getCollation(HiveJoin join) { final MapJoinStreamingRelation streamingSide = join.getStreamingSide(); if (streamingSide != MapJoinStreamingRelation.LEFT_RELATION && streamingSide != MapJoinStreamingRelation.RIGHT_RELATION) { // Error; default value LOG.warn("Streaming side for map join not chosen"); return ImmutableList.of(); } return HiveAlgorithmsUtil.getJoinCollation(join.getJoinPredicateInfo(), join.getStreamingSide()); } @Override public RelDistribution getDistribution(HiveJoin join) { return HiveAlgorithmsUtil.getJoinRedistribution(join.getJoinPredicateInfo()); } @Override public Double getMemory(HiveJoin join) { return HiveAlgorithmsUtil.getJoinMemory(join); } @Override public Double getCumulativeMemoryWithinPhaseSplit(HiveJoin join) {	long method	Long method 2 Feature envy	t	f	t			0	11682	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/cost/HiveOnTezCostModel.java/#L414-L464	2	1682	11682
1190	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String toString() { if (subject == null || pubKey == null || interval == null || issuer == null || algId == null || serialNum == null) { throw new NullPointerException("X.509 cert is incomplete"); } StringBuilder sb = new StringBuilder(); sb.append("[\n"); sb.append(" " + version.toString() + "\n"); sb.append(" Subject: " + subject.toString() + "\n"); sb.append(" Signature Algorithm: " + algId.toString() + "\n"); sb.append(" Key: " + pubKey.toString() + "\n"); sb.append(" " + interval.toString() + "\n"); sb.append(" Issuer: " + issuer.toString() + "\n"); sb.append(" " + serialNum.toString() + "\n"); // optional v2, v3 extras if (issuerUniqueId != null) { sb.append(" Issuer Id:\n" + issuerUniqueId.toString() + "\n"); } if (subjectUniqueId != null) { sb.append(" Subject Id:\n" + subjectUniqueId.toString() + "\n"); } if (extensions != null) { Collection allExts = extensions.getAllExtensions(); Extension[] exts = allExts.toArray(new Extension[0]); sb.append("\nCertificate Extensions: " + exts.length); for (int i = 0; i < exts.length; i++) { sb.append("\n[" + (i+1) + "]: "); Extension ext = exts[i]; try { if (OIDMap.getClass(ext.getExtensionId()) == null) { sb.append(ext.toString()); byte[] extValue = ext.getExtensionValue(); if (extValue != null) { DerOutputStream out = new DerOutputStream(); out.putOctetString(extValue); extValue = out.toByteArray(); HexDumpEncoder enc = new HexDumpEncoder(); sb.append("Extension unknown: " + "DER encoded OCTET string =\n" + enc.encodeBuffer(extValue) + "\n"); } } else sb.append(ext.toString()); //sub-class exists } catch (Exception e) { sb.append(", Error parsing this extension"); } } Map invalid = extensions.getUnparseableExtensions(); if (invalid.isEmpty() == false) { sb.append("\nUnparseable certificate extensions: " + invalid.size()); int i = 1; for (Extension ext : invalid.values()) { sb.append("\n[" + (i++) + "]: "); sb.append(ext); } } } sb.append("\n]"); return sb.toString(); }	long method	long method, data class	t	t	t	data class		0	10253	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/x509/X509CertInfo.java/#L292-L354	1	1190	10253
804	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean fetchNext() throws IgniteCheckedException { if (data == null) return false; try { if (!data.next()) { close(); return false; } if (res != null) { Value[] values = res.currentRow(); for (int c = 0; c < row.length; c++) { Value val = values[c]; if (val instanceof GridH2ValueCacheObject) { GridH2ValueCacheObject valCacheObj = (GridH2ValueCacheObject)values[c]; row[c] = valCacheObj.getObject(true); } else row[c] = val.getObject(); } } else { for (int c = 0; c < row.length; c++) row[c] = data.getObject(c + 1); } return true; } catch (SQLException e) { throw new IgniteSQLException(e); } }	long method	long method, data class	t	t	t	data class		0	7620	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/H2ResultSetIterator.java/#L101-L137	1	804	7620
1997	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @MultiMQAdminCmdMethod public Map resetOffset(ResetOffsetRequest resetOffsetRequest) { Map groupRollbackStats = Maps.newHashMap(); for (String consumerGroup : resetOffsetRequest.getConsumerGroupList()) { try { Map rollbackStatsMap = mqAdminExt.resetOffsetByTimestamp(resetOffsetRequest.getTopic(), consumerGroup, resetOffsetRequest.getResetTime(), resetOffsetRequest.isForce()); ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = consumerGroupRollBackStat.getRollbackStatsList(); for (Map.Entry rollbackStatsEntty : rollbackStatsMap.entrySet()) { RollbackStats rollbackStats = new RollbackStats(); rollbackStats.setRollbackOffset(rollbackStatsEntty.getValue()); rollbackStats.setQueueId(rollbackStatsEntty.getKey().getQueueId()); rollbackStats.setBrokerName(rollbackStatsEntty.getKey().getBrokerName()); rollbackStatsList.add(rollbackStats); } groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); } catch (MQClientException e) { if (ResponseCode.CONSUMER_NOT_ONLINE == e.getResponseCode()) { try { ConsumerGroupRollBackStat consumerGroupRollBackStat = new ConsumerGroupRollBackStat(true); List rollbackStatsList = mqAdminExt.resetOffsetByTimestampOld(consumerGroup, resetOffsetRequest.getTopic(), resetOffsetRequest.getResetTime(), true); consumerGroupRollBackStat.setRollbackStatsList(rollbackStatsList); groupRollbackStats.put(consumerGroup, consumerGroupRollBackStat); continue; } catch (Exception err) { logger.error("op=resetOffset_which_not_online_error", err); } } else { logger.error("op=resetOffset_error", e); } groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } catch (Exception e) { logger.error("op=resetOffset_error", e); groupRollbackStats.put(consumerGroup, new ConsumerGroupRollBackStat(false, e.getMessage())); } } return groupRollbackStats; }	long method	long method	t	t	t			0	12700	https://github.com/apache/rocketmq-externals/blob/dba6eb0c997d5c325f26b3d1da9d739d927228dc/rocketmq-console/src/main/java/org/apache/rocketmq/console/service/impl/ConsumerServiceImpl.java/#L208-L251	1	1997	12700
2029	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void createButtonGroup( Group grpTop ) { btnAdd = new Button( grpTop, SWT.NONE ); { btnAdd.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Add" ) ); //$NON-NLS-1$ btnAdd.addSelectionListener( this ); } newMarkerEditor = new MarkerEditorComposite( grpTop, createMarker( ), getContext( ), getDefaultMarker( ) ); if ( markerTypeSet != null ) { newMarkerEditor.setSupportedMarkerTypes( markerTypeSet ); } if ( outlineText != null ) { newMarkerEditor.setOutlineText( outlineText ); } btnRemove = new Button( grpTop, SWT.NONE ); { btnRemove.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Remove" ) ); //$NON-NLS-1$ btnRemove.addSelectionListener( this ); } btnUp = new Button( grpTop, SWT.ARROW | SWT.UP ); { btnUp.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Up" ) ); //$NON-NLS-1$ btnUp.addSelectionListener( this ); } btnDown = new Button( grpTop, SWT.ARROW | SWT.DOWN ); { btnDown.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Down" ) ); //$NON-NLS-1$ btnDown.addSelectionListener( this ); } }	long method	long method	t	t	t			0	12807	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/wizard/format/popup/series/LineSeriesMarkerSheet.java/#L402-L440	1	2029	12807
1789	YES, I found bad smells. The bad smells are: 1. Long method 2. Unnecessary complexity 3. Feature envy 4. Code duplication 5. Inappropriate coupling 6. Incomplete error handling	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void alterTableStatsForTruncate(RawStore ms, String catName, String dbName, String tableName, Table table, List partNames, String validWriteIds, long writeId) throws Exception { if (partNames == null) { if (0 != table.getPartitionKeysSize()) { for (Partition partition : ms.getPartitions(catName, dbName, tableName, Integer.MAX_VALUE)) { alterPartitionForTruncate(ms, catName, dbName, tableName, table, partition, validWriteIds, writeId); } } else { EnvironmentContext environmentContext = new EnvironmentContext(); updateStatsForTruncate(table.getParameters(), environmentContext); if (!transactionalListeners.isEmpty()) { MetaStoreListenerNotifier.notifyEvent(transactionalListeners, EventType.ALTER_TABLE, new AlterTableEvent(table, table, true, true, writeId, this)); } if (!listeners.isEmpty()) { MetaStoreListenerNotifier.notifyEvent(listeners, EventType.ALTER_TABLE, new AlterTableEvent(table, table, true, true, writeId, this)); } // TODO: this should actually pass thru and set writeId for txn stats. if (writeId > 0) { table.setWriteId(writeId); } alterHandler.alterTable(ms, wh, catName, dbName, tableName, table, environmentContext, this, validWriteIds); } } else { for (Partition partition : ms.getPartitionsByNames(catName, dbName, tableName, partNames)) { alterPartitionForTruncate(ms, catName, dbName, tableName, table, partition, validWriteIds, writeId); } } return; }	long method	Long method2 Unnecessary complexity3 Feature envy4 Code duplication5 Inappropriate coupling6 Incomplete error handling	t	f	t			0	11985	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-server/src/main/java/org/apache/hadoop/hive/metastore/HiveMetaStore.java/#L2854-L2895	2	1789	11985
2582	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	long method, feature envy	t	t	t	feature envy		0	14956	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	1	2582	14956
1885	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean isExists(Object identifier) throws AppCatalogException { HashMap ids; if (identifier instanceof Map) { ids = (HashMap) identifier; } else { logger.error("Identifier should be a map with the field name and it's value"); throw new AppCatalogException("Identifier should be a map with the field name and it's value"); } EntityManager em = null; try { em = AppCatalogJPAUtils.getEntityManager(); ComputeResourcePreference existingPreference = em.find(ComputeResourcePreference.class, new ComputeResourcePreferencePK(ids.get(ComputeResourcePreferenceConstants.GATEWAY_ID), ids.get(ComputeResourcePreferenceConstants.RESOURCE_ID))); if (em.isOpen()) { if (em.getTransaction().isActive()){ em.getTransaction().rollback(); } em.close(); } return existingPreference != null; }catch (Exception e) { logger.error(e.getMessage(), e); throw new AppCatalogException(e); } finally { if (em != null && em.isOpen()) { if (em.getTransaction().isActive()) { em.getTransaction().rollback(); } em.close(); } } }	long method	long method, blob	t	t	t	blob		0	12293	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-core/src/main/java/org/apache/airavata/registry/core/app/catalog/resources/ComputeHostPreferenceResource.java/#L522-L556	1	1885	12293
5498	YES I found bad smells. The bad smells are: Long method.	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String sendMessage(final Map headers, final int type, final String body, boolean durable, final String user, final String password) throws Exception { if (AuditLogger.isEnabled()) { AuditLogger.sendMessage(this, null, headers, type, body, durable, user, "****"); } try { return sendMessage(addressInfo.getName(), server, headers, type, body, durable, user, password); } catch (Exception e) { e.printStackTrace(); throw new IllegalStateException(e.getMessage()); } }	long method	Long method	t	f	t			0	3000	https://github.com/apache/activemq-artemis/blob/5bd5c610195d6f4a3dd1ac28170727003f8a5a54/artemis-server/src/main/java/org/apache/activemq/artemis/core/management/impl/AddressControlImpl.java/#L347-L363	1	5498	3000
5407	{ "message": "YES I found bad smells", "bad smells are": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, WMTrigger struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RESOURCE_PLAN_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.resourcePlanName = iprot.readString(); struct.setResourcePlanNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // TRIGGER_NAME if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerName = iprot.readString(); struct.setTriggerNameIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // TRIGGER_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.triggerExpression = iprot.readString(); struct.setTriggerExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // ACTION_EXPRESSION if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.actionExpression = iprot.readString(); struct.setActionExpressionIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 5: // IS_IN_UNMANAGED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.isInUnmanaged = iprot.readBool(); struct.setIsInUnmanagedIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 6: // NS if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.ns = iprot.readString(); struct.setNsIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); struct.validate(); }	long method	blob, long method	t	t	t	blob		0	15185	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/WMTrigger.java/#L733-L798	1	5407	15185
575	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Magic numbers 4. Duplication of code 5. Inconsistent formatting and naming conventions 6. Violation of the single responsibility principle 7. Use of complex structures and data types in parameters 8. Inefficient use of variables and data structures 9. Inadequate error handling and input validation 10. Use of hard-coded or external resources without proper abstraction.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private EntityCollection createETStreamOnComplexProp(Edm edm, OData odata) { EntityCollection entityCollection = new EntityCollection(); Link readLink = new Link(); readLink.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink.setHref("readLink"); Entity entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("darkturquoise"))); readLink.setInlineEntity(entity); Link readLink1 = new Link(); readLink1.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink1.setHref("readLink"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("darkturquoise"))); readLink1.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", Short.MAX_VALUE)) .addProperty(createPrimitive("PropertyInt32", Integer.MAX_VALUE)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, readLink1)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, readLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); Link editLink = new Link(); editLink.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink.setHref("http://mediaserver:1234/editLink"); editLink.setMediaETag("eTag"); editLink.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("royalblue"))); editLink.setInlineEntity(entity); Link editLink2 = new Link(); editLink2.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink2.setHref("http://mediaserver:1234/editLink"); editLink2.setMediaETag("eTag"); editLink2.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("royalblue"))); editLink2.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", (short) 7)) .addProperty(createPrimitive("PropertyInt32", (Integer) 10)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, editLink2)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, editLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); setEntityType(entityCollection, edm.getEntityType(EntityTypeProvider.nameETStreamOnComplexProp)); createEntityId(edm, odata, "ESStreamOnComplexProp", entityCollection); createOperations("ESStreamOnComplexProp", entityCollection, EntityTypeProvider.nameETStreamOnComplexProp); return entityCollection; }	long method	Long method2 Feature envy3 Magic numbers4 Duplication of code5 Inconsistent formatting and naming conventions6 Violation of the single responsibility principle7 Use of complex structures and data types in parameters8 Inefficient use of variables and data structures9 Inadequate error handling and input validation	t	f	t			0	5777	https://github.com/apache/olingo-odata4/blob/f344a3c565b6a67233de1d1169104a728136e7a3/lib/server-tecsvc/src/main/java/org/apache/olingo/server/tecsvc/data/DataCreator.java/#L158-L221	2	575	5777
1272	{"result": "YES, I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static boolean resolveGenericRef(GenericRef ref, Class clazz, Type type) { if (type instanceof Class) { if (type == ref.ifaceClass) { // is this a straight ref or a TypeVariable? // debug("Found ref (as class): %s",toShortName(type)); ref.setGenericFromType(type,0); return true; } else { // Keep digging return resolveGenericRef(ref,type); } } if (type instanceof ParameterizedType) { ParameterizedType ptype = (ParameterizedType)type; Type rawType = ptype.getRawType(); if (rawType == ref.ifaceClass) { // debug("Found ref on [%s] as ParameterizedType [%s]",toShortName(clazz),toShortName(ptype)); // Always get the raw type parameter, let unwrap() solve for what it is ref.setGenericFromType(ptype.getActualTypeArguments()[0],0); return true; } else { // Keep digging return resolveGenericRef(ref,rawType); } } return false; }	long method	long method, feature envy	t	t	t	feature envy		0	10573	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-websocket/websocket-common/src/main/java/org/eclipse/jetty/websocket/common/util/ReflectUtils.java/#L189-L225	1	1272	10573
2583	{ "message": "YES I found bad smells", "the bad smells are": [ "3. Feature Envy", "4. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	3. feature envy, 4. long method	t	t	t	3. feature envy		0	14963	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	1	2583	14963
2062	YES, I found bad smells 1. Conditional complexity 2. Duplicate code 3. Long method 4. Long parameter list 5. Primitive obsession 6. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public TypedValue read(EvaluationContext context, @Nullable Object target, String name) throws AccessException { Assert.state(target != null, "Target must not be null"); Class type = (target instanceof Class ? (Class) target : target.getClass()); if (type.isArray() && name.equals("length")) { if (target instanceof Class) { throw new AccessException("Cannot access length on array class itself"); } return new TypedValue(Array.getLength(target)); } PropertyCacheKey cacheKey = new PropertyCacheKey(type, name, target instanceof Class); InvokerPair invoker = this.readerCache.get(cacheKey); this.lastReadInvokerPair = invoker; if (invoker == null || invoker.member instanceof Method) { Method method = (Method) (invoker != null ? invoker.member : null); if (method == null) { method = findGetterForProperty(name, type, target); if (method != null) { // Treat it like a property... // The readerCache will only contain gettable properties (let's not worry about setters for now). Property property = new Property(type, method, null); TypeDescriptor typeDescriptor = new TypeDescriptor(property); invoker = new InvokerPair(method, typeDescriptor); this.lastReadInvokerPair = invoker; this.readerCache.put(cacheKey, invoker); } } if (method != null) { try { ReflectionUtils.makeAccessible(method); Object value = method.invoke(target); return new TypedValue(value, invoker.typeDescriptor.narrow(value)); } catch (Exception ex) { throw new AccessException("Unable to access property '" + name + "' through getter method", ex); } } } if (invoker == null || invoker.member instanceof Field) { Field field = (Field) (invoker == null ? null : invoker.member); if (field == null) { field = findField(name, type, target); if (field != null) { invoker = new InvokerPair(field, new TypeDescriptor(field)); this.lastReadInvokerPair = invoker; this.readerCache.put(cacheKey, invoker); } } if (field != null) { try { ReflectionUtils.makeAccessible(field); Object value = field.get(target); return new TypedValue(value, invoker.typeDescriptor.narrow(value)); } catch (Exception ex) { throw new AccessException("Unable to access field '" + name + "'", ex); } } } throw new AccessException("Neither getter method nor field found for property '" + name + "'"); }	long method	Conditional complexity2 Duplicate code 3 Long method 4 Long parameter list 5 Primitive obsession 6 Feature envy	t	f	t			0	12975	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-expression/src/main/java/org/springframework/expression/spel/support/ReflectivePropertyAccessor.java/#L157-L222	2	2062	12975
1279	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int specialStateTransition(int s, IntStream _input) throws NoViableAltException { TokenStream input = (TokenStream)_input; int _s = s; switch ( s ) { case 0 : int LA60_0 = input.LA(1); int index60_0 = input.index(); input.rewind(); s = -1; if ( (LA60_0==RULE_ID) ) {s = 1;} else if ( (LA60_0==14) ) {s = 2;} else if ( (LA60_0==39) && (synpred33_InternalXbaseWithAnnotations())) {s = 3;} else if ( ((LA60_0>=RULE_STRING && LA60_0<=RULE_DECIMAL)||(LA60_0>=18 && LA60_0<=19)||LA60_0==26||(LA60_0>=42 && LA60_0<=43)||LA60_0==48||LA60_0==55||LA60_0==59||LA60_0==61||(LA60_0>=65 && LA60_0<=67)||(LA60_0>=70 && LA60_0<=82)||LA60_0==84) ) {s = 4;} input.seek(index60_0); if ( s>=0 ) return s; break; case 1 : int LA60_1 = input.LA(1); int index60_1 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_1); if ( s>=0 ) return s; break; case 2 : int LA60_2 = input.LA(1); int index60_2 = input.index(); input.rewind(); s = -1; if ( (synpred33_InternalXbaseWithAnnotations()) ) {s = 3;} else if ( (true) ) {s = 4;} input.seek(index60_2); if ( s>=0 ) return s; break; } if (state.backtracking>0) {state.failed=true; return -1;} NoViableAltException nvae = new NoViableAltException(getDescription(), 60, _s, input); error(nvae); throw nvae; }	long method	long method	t	t	t			0	10593	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/annotations/parser/antlr/internal/InternalXbaseWithAnnotationsParser.java/#L22612-L22671	1	1279	10593
3694	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	Long method2 Feature envy	t	f	t			0	8659	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	2	3694	8659
2748	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Poor exception handling 4. Use of magic numbers 5. Lack of proper commenting/documentation 6. Unnecessary nesting in switch statement 7. Unnecessary use of mutable fields 8. Potential for memory leaks through use of mutable fields without proper resetting before return statements.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(this.getUnknownFields()); while (true) { int tag = 0; try { tag = input.readTag(); } catch (Exception e) { // do nothing } switch (tag) { case 0 : this.setUnknownFields(unknownFields.build()); onChanged(); return this; default : { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { this.setUnknownFields(unknownFields.build()); onChanged(); return this; } break; } case 10 : { bitField0_ |= 0x00000001; message_ = input.readBytes(); break; } case 16 : { int rawValue = input.readEnum(); org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType value = org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType.valueOf(rawValue); if (value == null) { unknownFields.mergeVarintField(2, rawValue); } else { bitField0_ |= 0x00000002; messageType_ = value; } break; } case 24 : { bitField0_ |= 0x00000004; timestamp_ = input.readSInt64(); break; } case 34 : { bitField0_ |= 0x00000008; appId_ = input.readBytes(); break; } case 50 : { bitField0_ |= 0x00000010; sourceId_ = input.readBytes(); break; } case 58 : { ensureDrainUrlsIsMutable(); drainUrls_.add(input.readBytes()); break; } case 66 : { bitField0_ |= 0x00000040; sourceName_ = input.readBytes(); break; } } } }	long method	Long method2 Feature envy3 Poor exception handling4 Use of magic numbers5 Lack of proper commenting/documentation6 Unnecessary nesting in switch statement7 Unnecessary use of mutable fields 8 Potential for memory leaks through use of mutable fields without proper resetting before return statements	t	f	t			0	804	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.cf/src/org/eclipse/orion/server/cf/loggregator/LoggregatorMessage.java/#L651-L716	2	2748	804
1651	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean readFont(FontFileReader in, String header, String name) throws IOException { initializeFont(in); /* * Check if TrueType collection, and that the name * exists in the collection */ if (!checkTTC(header, name)) { if (name == null) { throw new IllegalArgumentException( "For TrueType collection you must specify which font " + "to select (-ttcname)"); } else { throw new IOException( "Name does not exist in the TrueType collection: " + name); } } readDirTabs(); readFontHeader(); getNumGlyphs(); if (log.isDebugEnabled()) { log.debug("Number of glyphs in font: " + numberOfGlyphs); } readHorizontalHeader(); readHorizontalMetrics(); initAnsiWidths(); readPostScript(); readOS2(); determineAscDesc(); readName(); boolean pcltFound = readPCLT(); // Read cmap table and fill in ansiwidths boolean valid = readCMAP(); if (!valid) { return false; } // Create cmaps for bfentries createCMaps(); updateBBoxAndOffset(); if (useKerning) { readKerning(); } handleCharacterSpacing(in); guessVerticalMetricsFromGlyphBBox(); return true; }	long method	Long method 2 Feature envy	t	f	t			0	11579	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/fonts/truetype/OpenFont.java/#L813-L862	2	1651	11579
1490	YES I found bad smells the bad smells: 1.Split temporary variable, 2.Long method, 3.Feature envy, 4.Primitive obsession, 5.Magic numbers, 6.Inappropriate intimacy, 7.Unnecessary temporary variables, 8.Speculative generality, 9.Nested loops, 10.Duplicate code, 11.Functional decomposition, 12.Long parameter list.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public synchronized void start(BundleContext context) throws Exception { PermissionAdminImpl pai = null; SecureAction action = new SecureAction(); Permissions permissions = new Permissions(context, action); File tmp = context.getDataFile("security" + File.separator + "tmp"); if ((tmp == null) || (!tmp.isDirectory() && !tmp.mkdirs())) { throw new IOException("Can't create tmp dir."); } // TODO: log something if we can not clean-up the tmp dir File[] old = tmp.listFiles(); if (old != null) { for (int i = 0; i < old.length; i++) { old[i].delete(); } } if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_PERMISSIONADMIN_PROP, SecurityConstants.ENABLE_PERMISSIONADMIN_VALUE))) { File cache = context.getDataFile("security" + File.separator + "pa.txt"); if ((cache == null) || (!cache.isFile() && !cache.createNewFile())) { throw new IOException("Can't create cache file"); } pai = new PermissionAdminImpl(permissions, new PropertiesCache( cache, tmp, action)); } ConditionalPermissionAdminImpl cpai = null; if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_CONDPERMADMIN_PROP, SecurityConstants.ENABLE_CONDPERMADMIN_VALUE))) { File cpaCache = context.getDataFile("security" + File.separator + "cpa.txt"); if ((cpaCache == null) || (!cpaCache.isFile() && !cpaCache.createNewFile())) { throw new IOException("Can't create cache file"); } LocalPermissions localPermissions = new LocalPermissions( permissions); cpai = new ConditionalPermissionAdminImpl(permissions, new Conditions(action), localPermissions, new PropertiesCache( cpaCache, tmp, action), pai); } if ((pai != null) || (cpai != null)) { String crlList = getProperty(context, SecurityConstants.CRL_FILE_PROP, SecurityConstants.CRL_FILE_VALUE); String storeList = getProperty(context, SecurityConstants.KEYSTORE_FILE_PROP, SecurityConstants.KEYSTORE_FILE_VALUE); String passwdList = getProperty(context, SecurityConstants.KEYSTORE_PASS_PROP, SecurityConstants.KEYSTORE_PASS_VALUE); String typeList = getProperty(context, SecurityConstants.KEYSTORE_TYPE_PROP, SecurityConstants.KEYSTORE_TYPE_VALUE); String osgi_keystores = getProperty(context, Constants.FRAMEWORK_TRUST_REPOSITORIES, null); if (osgi_keystores != null) { StringTokenizer tok = new StringTokenizer(osgi_keystores, File.pathSeparator); if (storeList.length() == 0) { storeList += "file:" + tok.nextToken(); passwdList += " "; typeList += "JKS"; } while (tok.hasMoreTokens()) { storeList += "|file:" + tok.nextToken(); passwdList += "| "; typeList += "|JKS"; } } StringTokenizer storeTok = new StringTokenizer(storeList, "|"); StringTokenizer passwdTok = new StringTokenizer(passwdList, "|"); StringTokenizer typeTok = new StringTokenizer(typeList, "|"); if ((storeTok.countTokens() != typeTok.countTokens()) || (passwdTok.countTokens() != storeTok.countTokens())) { throw new BundleException( "Each CACerts keystore must have one type and one passwd entry and vice versa."); } SecurityProvider provider = new SecurityProviderImpl(crlList, typeList, passwdList, storeList, pai, cpai, action, ((Felix) context.getBundle(0)).getLogger()); ((Felix) context.getBundle(0)).setSecurityProvider(provider); } if (pai != null) { context.registerService(PermissionAdmin.class.getName(), pai, null); } if (cpai != null) { context.registerService(ConditionalPermissionAdmin.class.getName(), cpai, null); } }	long method	Split temporary variable, 2Long method, 3Feature envy, 4Primitive obsession, 5Magic numbers, 6Inappropriate intimacy, 7Unnecessary temporary variables, 8Speculative generality, 9Nested loops,	t	f	t	.Split temporary variable, 3.Feature envy, 4.Primitive obsession, 5.Magic numbers, 6.Inappropriate intimacy, 7.Unnecessary temporary variables, 8.Speculative generality, 9.Nested loops,		0	11110	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/framework.security/src/main/java/org/apache/felix/framework/SecurityActivator.java/#L99-L220	2	1490	11110
2340	YES, bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Invocation next() { if (interceptors.hasNext()) { final Interceptor interceptor = interceptors.next(); final Object nextInstance = interceptor.getInstance(); final Method nextMethod = interceptor.getMethod(); if (nextMethod.getParameterTypes().length == 1 && nextMethod.getParameterTypes()[0] == InvocationContext.class) { return new InterceptorInvocation(nextInstance, nextMethod, this); } else { return new LifecycleInvocation(nextInstance, nextMethod, this, parameters); } } else if (method != null) { //EJB 3.1, it is allowed that timeout method does not have parameter Timer.class, //However, while invoking the timeout method, the timer value is passed, as it is also required by InnvocationContext.getTimer() method final Object[] methodParameters; if (operation.equals(Operation.TIMEOUT) && method.getParameterTypes().length == 0) { methodParameters = new Object[0]; } else { methodParameters = parameters; } return new BeanInvocation(target, method, methodParameters); } else { return new NoOpInvocation(); } }	long method	Long method 2 Feature envy	t	f	t			0	14174	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-core/src/main/java/org/apache/openejb/core/interceptor/ReflectionInvocationContext.java/#L153-L177	2	2340	14174
3905	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static public Object postUpdate(String itemName, String stateString) { ItemRegistry registry = ScriptServiceUtil.getItemRegistry(); EventPublisher publisher = ScriptServiceUtil.getEventPublisher(); if (publisher != null && registry != null) { try { Item item = registry.getItem(itemName); State state = TypeParser.parseState(item.getAcceptedDataTypes(), stateString); if (state != null) { publisher.post(ItemEventFactory.createStateEvent(itemName, state)); } else { LoggerFactory.getLogger(BusEvent.class).warn( "Cannot convert '{}' to a state type which item '{}' accepts: {}.", stateString, itemName, getAcceptedDataTypeNames(item)); } } catch (ItemNotFoundException e) { LoggerFactory.getLogger(BusEvent.class).warn("Item '{}' does not exist.", itemName); } } return null; }	long method	1. long method	t	t	t			0	10223	https://github.com/eclipse/smarthome/blob/b8455de15d65512e8fac4e94d42de6ab2fccf1c5/bundles/model/org.eclipse.smarthome.model.script/src/org/eclipse/smarthome/model/script/actions/BusEvent.java/#L153-L172	1	3905	10223
2527	YES, I found bad smells the bad smells are: 1. Long method - The method contains a lot of lines and multiple levels of nesting, making it difficult to read and understand. 2. Feature envy - The method is accessing data from multiple external objects and performing operations on them, indicating a potential design issue where the functionality should be placed within those objects instead of being separated in this method.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void tryStoreVectorizedKey(HiveKey key, boolean partColsIsNull, int batchIndex) throws HiveException, IOException { // Assumption - batchIndex is increasing; startVectorizedBatch was called int size = indexes.size(); int index = size < topN ? size : evicted; keys[index] = Arrays.copyOf(key.getBytes(), key.getLength()); distKeyLengths[index] = key.getDistKeyLength(); hashes[index] = key.hashCode(); Integer collisionIndex = indexes.store(index); if (null != collisionIndex) { /* * since there is a collision index will be used for the next value * so have the map point back to original index. */ if ( indexes instanceof HashForGroup ) { indexes.store(collisionIndex); } // forward conditional on the survival of the corresponding key currently in indexes. ++batchNumForwards; batchIndexToResult[batchIndex] = MAY_FORWARD - collisionIndex; return; } indexToBatchIndex[index] = batchIndex; batchIndexToResult[batchIndex] = index; if (size != topN) return; evicted = indexes.removeBiggest(); // remove the biggest key if (index == evicted) { excluded++; batchIndexToResult[batchIndex] = EXCLUDE; indexToBatchIndex[index] = -1; return; // input key is bigger than any of keys in hash } removed(evicted); int evictedBatchIndex = indexToBatchIndex[evicted]; if (evictedBatchIndex >= 0) { // reset the result for the evicted index batchIndexToResult[evictedBatchIndex] = EXCLUDE; indexToBatchIndex[evicted] = -1; } // Evict all results grouped with this index; it cannot be any key further in the batch. // If we evict a key from this batch, the keys grouped with it cannot be earlier that that key. // If we evict a key that is not from this batch, initial i = (-1) + 1 = 0, as intended. int evictedForward = (MAY_FORWARD - evicted); for (int i = evictedBatchIndex + 1; i < batchIndex && (batchNumForwards > 0); ++i) { if (batchIndexToResult[i] == evictedForward) { batchIndexToResult[i] = EXCLUDE; --batchNumForwards; } } }	long method	Long method - The method contains a lot of lines and multiple levels of nesting, making it difficult to read and understand2 Feature envy - The method is accessing data from multiple external objects and performing operations on them, indicating a potential design issue where the functionality should be placed within those objects instead of being separated in this method	t	f	t	making it difficult to read and understand.2. Feature envy - The method is accessing data from multiple external objects and performing operations on them, indicating a potential design issue where the functionality should be placed within those objects instead of being separated in this method.		0	14726	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/TopNHash.java/#L213-L262	2	2527	14726
1451	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void writeFinalRule(Writer writer, boolean isDst, AnnualTimeZoneRule rule, int fromRawOffset, int fromDSTSavings, long startTime) throws IOException{ DateTimeRule dtrule = toWallTimeRule(rule.getRule(), fromRawOffset, fromDSTSavings); // If the rule's mills in a day is out of range, adjust start time. // Olson tzdata supports 24:00 of a day, but VTIMEZONE does not. // See ticket#7008/#7518 int timeInDay = dtrule.getRuleMillisInDay(); if (timeInDay < 0) { startTime = startTime + (0 - timeInDay); } else if (timeInDay >= Grego.MILLIS_PER_DAY) { startTime = startTime - (timeInDay - (Grego.MILLIS_PER_DAY - 1)); } int toOffset = rule.getRawOffset() + rule.getDSTSavings(); switch (dtrule.getDateRuleType()) { case DateTimeRule.DOM: writeZonePropsByDOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), startTime, MAX_TIME); break; case DateTimeRule.DOW: writeZonePropsByDOW(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleWeekInMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_GEQ_DOM: writeZonePropsByDOW_GEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_LEQ_DOM: writeZonePropsByDOW_LEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; } }	long method	1. long method	t	t	t			0	11000	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/external/icu/android_icu4j/src/main/java/android/icu/util/VTimeZone.java/#L1661-L1695	1	1451	11000
5401	{ "answer": "YES I found bad smells", "detected_bad_smells": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	blob, long method	t	t	t	blob		0	15176	https://github.com/apache/accumulo/blob/f896c98c2356a52dfa2235d2cc02ae556ab17909/proxy/src/main/java/org/apache/accumulo/proxy/thrift/AccumuloProxy.java/#L126206-L126230	1	5401	15176
2168	YES I found bad smells The bad smells are: 1. Long method 2. Redundant code 3. Feature envy 4. Comments to state the obvious 5. Magic numbers 6. Inconsistent naming conventions 7. Inconsistent formatting 8. Poor exception handling 9. Code duplication with slight variations	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void verifyRepository(RepositoryRequest request) throws AmbariException { URLStreamProvider usp = new URLStreamProvider(REPO_URL_CONNECT_TIMEOUT, REPO_URL_READ_TIMEOUT, null, null, null); usp.setSetupTruststoreForHttps(false); String repoName = request.getRepoName(); if (StringUtils.isEmpty(repoName)) { throw new IllegalArgumentException("repo_name is required to verify repository"); } String errorMessage = null; Exception e = null; String[] suffixes = configs.getRepoValidationSuffixes(request.getOsType()); for (String suffix : suffixes) { String formatted_suffix = String.format(suffix, repoName); String spec = request.getBaseUrl().trim(); // This logic is to identify if the end of baseurl has a slash ('/') and/or the beginning of suffix String (e.g. "/repodata/repomd.xml") // has a slash and they can form a good url. // e.g. "http://baseurl.com/" + "/repodata/repomd.xml" becomes "http://baseurl.com/repodata/repomd.xml" but not "http://baseurl.com//repodata/repomd.xml" if (spec.charAt(spec.length() - 1) != '/' && formatted_suffix.charAt(0) != '/') { spec = spec + "/" + formatted_suffix; } else if (spec.charAt(spec.length() - 1) == '/' && formatted_suffix.charAt(0) == '/') { spec = spec + formatted_suffix.substring(1); } else { spec = spec + formatted_suffix; } // if spec contains "file://" then check local file system. final String FILE_SCHEME = "file://"; if(spec.toLowerCase().startsWith(FILE_SCHEME)){ String filePath = spec.substring(FILE_SCHEME.length()); File f = new File(filePath); if(!f.exists()){ errorMessage = "Could not access base url . " + spec + " . "; e = new FileNotFoundException(errorMessage); break; } }else{ try { IOUtils.readLines(usp.readFrom(spec)); } catch (IOException ioe) { e = ioe; errorMessage = "Could not access base url . " + request.getBaseUrl() + " . "; if (LOG.isDebugEnabled()) { errorMessage += ioe; } else { errorMessage += ioe.getMessage(); } break; } } } if (e != null) { LOG.error(errorMessage); throw new IllegalArgumentException(errorMessage, e); } }	long method	Long method 2 Redundant code3 Feature envy4 Comments to state the obvious 5 Magic numbers 6 Inconsistent naming conventions 7 Inconsistent formatting 8 Poor exception handling 9 Code duplication with slight variations	t	f	t			0	13354	https://github.com/apache/ambari/blob/2bc4779a1e6aabe638101fc8b0e28cd1963d6b13/ambari-server/src/main/java/org/apache/ambari/server/controller/AmbariManagementControllerImpl.java/#L4555-L4614	2	2168	13354
922	YES I found bad smells The bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void processAsSubstitutableExport(boolean isFragment, Requirement requirement, List capabilities) { String namespace = requirement.getNamespace(); if (!PackageNamespace.PACKAGE_NAMESPACE.equals(namespace)) { return; } Resource resource = requirement.getResource(); Wiring wiring = wirings.get(resource); if (isFragment) { List fragmentWires = wiring.getRequiredResourceWires(HostNamespace.HOST_NAMESPACE); for (Wire fragmentWire : fragmentWires) { Resource host = fragmentWire.getProvider(); processResourceCapabilities( wirings.get(host).getResourceCapabilities(namespace), requirement, capabilities); } } else { List resourceCapabilities = wiring.getResourceCapabilities(namespace); processResourceCapabilities(resourceCapabilities, requirement, capabilities); } }	long method	Long method	t	f	t			0	8279	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/subsystem/subsystem-core/src/main/java/org/apache/aries/subsystem/core/internal/ResolveContext.java/#L158-L179	2	922	8279
693	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Poor exception handling 5. Mixing of concerns 6. Inconsistent naming conventions 7. Immodular code 8. Unnecessary commented out code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public synchronized void start(BundleContext context) throws Exception { PermissionAdminImpl pai = null; SecureAction action = new SecureAction(); Permissions permissions = new Permissions(context, action); File tmp = context.getDataFile("security" + File.separator + "tmp"); if ((tmp == null) || (!tmp.isDirectory() && !tmp.mkdirs())) { throw new IOException("Can't create tmp dir."); } // TODO: log something if we can not clean-up the tmp dir File[] old = tmp.listFiles(); if (old != null) { for (int i = 0; i < old.length; i++) { old[i].delete(); } } if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_PERMISSIONADMIN_PROP, SecurityConstants.ENABLE_PERMISSIONADMIN_VALUE))) { File cache = context.getDataFile("security" + File.separator + "pa.txt"); if ((cache == null) || (!cache.isFile() && !cache.createNewFile())) { throw new IOException("Can't create cache file"); } pai = new PermissionAdminImpl(permissions, new PropertiesCache( cache, tmp, action)); } ConditionalPermissionAdminImpl cpai = null; if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_CONDPERMADMIN_PROP, SecurityConstants.ENABLE_CONDPERMADMIN_VALUE))) { File cpaCache = context.getDataFile("security" + File.separator + "cpa.txt"); if ((cpaCache == null) || (!cpaCache.isFile() && !cpaCache.createNewFile())) { throw new IOException("Can't create cache file"); } LocalPermissions localPermissions = new LocalPermissions( permissions); cpai = new ConditionalPermissionAdminImpl(permissions, new Conditions(action), localPermissions, new PropertiesCache( cpaCache, tmp, action), pai); } if ((pai != null) || (cpai != null)) { String crlList = getProperty(context, SecurityConstants.CRL_FILE_PROP, SecurityConstants.CRL_FILE_VALUE); String storeList = getProperty(context, SecurityConstants.KEYSTORE_FILE_PROP, SecurityConstants.KEYSTORE_FILE_VALUE); String passwdList = getProperty(context, SecurityConstants.KEYSTORE_PASS_PROP, SecurityConstants.KEYSTORE_PASS_VALUE); String typeList = getProperty(context, SecurityConstants.KEYSTORE_TYPE_PROP, SecurityConstants.KEYSTORE_TYPE_VALUE); String osgi_keystores = getProperty(context, Constants.FRAMEWORK_TRUST_REPOSITORIES, null); if (osgi_keystores != null) { StringTokenizer tok = new StringTokenizer(osgi_keystores, File.pathSeparator); if (storeList.length() == 0) { storeList += "file:" + tok.nextToken(); passwdList += " "; typeList += "JKS"; } while (tok.hasMoreTokens()) { storeList += "|file:" + tok.nextToken(); passwdList += "| "; typeList += "|JKS"; } } StringTokenizer storeTok = new StringTokenizer(storeList, "|"); StringTokenizer passwdTok = new StringTokenizer(passwdList, "|"); StringTokenizer typeTok = new StringTokenizer(typeList, "|"); if ((storeTok.countTokens() != typeTok.countTokens()) || (passwdTok.countTokens() != storeTok.countTokens())) { throw new BundleException( "Each CACerts keystore must have one type and one passwd entry and vice versa."); } SecurityProvider provider = new SecurityProviderImpl(crlList, typeList, passwdList, storeList, pai, cpai, action, ((Felix) context.getBundle(0)).getLogger()); ((Felix) context.getBundle(0)).setSecurityProvider(provider); } if (pai != null) { context.registerService(PermissionAdmin.class.getName(), pai, null); } if (cpai != null) { context.registerService(ConditionalPermissionAdmin.class.getName(), cpai, null); } }	long method	Long method2 Feature envy3 Duplicate code4 Poor exception handling5 Mixing of concerns 6 Inconsistent naming conventions 7 Immodular code8 Unnecessary commented out code	t	f	t			0	6654	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/framework.security/src/main/java/org/apache/felix/framework/SecurityActivator.java/#L99-L220	2	693	6654
598	YES I found bad smells the bad smells are: 1. Long Method 2. Long Parameter List	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: long recoverDrf(OplogEntryIdSet deletedIds, boolean alreadyRecoveredOnce, boolean latestOplog) { File drfFile = this.drf.f; if (drfFile == null) { this.haveRecoveredDrf = true; return 0L; } lockCompactor(); try { if (this.haveRecoveredDrf && !getHasDeletes()) return 0L; // do this while holding lock if (!this.haveRecoveredDrf) { this.haveRecoveredDrf = true; } logger.info("Recovering {} {} for disk store {}.", new Object[] {toString(), drfFile.getAbsolutePath(), getParent().getName()}); this.recoverDelEntryId = DiskStoreImpl.INVALID_ID; boolean readLastRecord = true; CountingDataInputStream dis = null; try { int recordCount = 0; boolean foundDiskStoreRecord = false; FileInputStream fis = null; try { fis = new FileInputStream(drfFile); dis = new CountingDataInputStream(new BufferedInputStream(fis, 32 * 1024), drfFile.length()); boolean endOfLog = false; while (!endOfLog) { if (dis.atEndOfFile()) { endOfLog = true; break; } readLastRecord = false; byte opCode = dis.readByte(); if (logger.isTraceEnabled(LogMarker.PERSIST_RECOVERY_VERBOSE)) { logger.trace(LogMarker.PERSIST_RECOVERY_VERBOSE, "drf byte={} location={}", opCode, Long.toHexString(dis.getCount())); } switch (opCode) { case OPLOG_EOF_ID: // we are at the end of the oplog. So we need to back up one byte dis.decrementCount(); endOfLog = true; break; case OPLOG_DEL_ENTRY_1ID: case OPLOG_DEL_ENTRY_2ID: case OPLOG_DEL_ENTRY_3ID: case OPLOG_DEL_ENTRY_4ID: case OPLOG_DEL_ENTRY_5ID: case OPLOG_DEL_ENTRY_6ID: case OPLOG_DEL_ENTRY_7ID: case OPLOG_DEL_ENTRY_8ID: readDelEntry(dis, opCode, deletedIds, parent); recordCount++; break; case OPLOG_DISK_STORE_ID: readDiskStoreRecord(dis, this.drf.f); foundDiskStoreRecord = true; recordCount++; break; case OPLOG_MAGIC_SEQ_ID: readOplogMagicSeqRecord(dis, this.drf.f, OPLOG_TYPE.DRF); break; case OPLOG_GEMFIRE_VERSION: readGemfireVersionRecord(dis, this.drf.f); recordCount++; break; case OPLOG_RVV: long idx = dis.getCount(); readRVVRecord(dis, this.drf.f, true, latestOplog); recordCount++; break; default: throw new DiskAccessException( String.format("Unknown opCode %s found in disk operation log.", opCode), getParent()); } readLastRecord = true; // @todo // if (rgn.isDestroyed()) { // break; // } } // while } finally { if (dis != null) { dis.close(); } if (fis != null) { fis.close(); } } if (!foundDiskStoreRecord && recordCount > 0) { throw new DiskAccessException( "The oplog file \"" + this.drf.f + "\" does not belong to the init file \"" + getParent().getInitFile() + "\". Drf did not contain a disk store id.", getParent()); } } catch (EOFException ignore) { // ignore since a partial record write can be caused by a crash } catch (IOException ex) { getParent().getCancelCriterion().checkCancelInProgress(ex); throw new DiskAccessException( String.format("Failed to read file during recovery from %s", drfFile.getPath()), ex, getParent()); } catch (CancelException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Cache was closed", e); } } catch (RegionDestroyedException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Region was destroyed", e); } } // Add the Oplog size to the Directory Holder which owns this oplog, // so that available space is correctly calculated & stats updated. long byteCount = 0; if (!readLastRecord) { // this means that there was a crash // and hence we should not continue to read // the next oplog this.crashed = true; if (dis != null) { byteCount = dis.getFileLength(); } } else { if (dis != null) { byteCount = dis.getCount(); } } if (!alreadyRecoveredOnce) { setRecoveredDrfSize(byteCount); this.dirHolder.incrementTotalOplogSize(byteCount); } return byteCount; } finally { unlockCompactor(); } }	long method	Long Method2 Long Parameter List	t	f	t			0	5982	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/Oplog.java/#L1448-L1589	2	598	5982
2487	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Code complexity 5. Poor naming conventions 6. Inefficient looping 7. Lack of proper commenting or documentation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Check public void checkNoForwardReferences(XExpression fieldInitializer) { JvmIdentifiableElement container = logicalContainerProvider.getLogicalContainer(fieldInitializer); if (container instanceof JvmField) { JvmField field = (JvmField) container; boolean staticField = field.isStatic(); JvmDeclaredType declaredType = field.getDeclaringType(); if (declaredType == null) { return; } Collection illegalFields = Sets.newHashSet(); for(int i = declaredType.getMembers().size() - 1; i>=0; i--) { JvmMember member = declaredType.getMembers().get(i); if (member instanceof JvmField) { if (((JvmField) member).isStatic() == staticField) { illegalFields.add((JvmField) member); } } if (member == field) break; } TreeIterator iterator = EcoreUtil2.eAll(fieldInitializer); while(iterator.hasNext()) { EObject object = iterator.next(); if (object instanceof XFeatureCall) { JvmIdentifiableElement feature = ((XFeatureCall) object).getFeature(); if (illegalFields.contains(((XFeatureCall) object).getFeature())) { error("Cannot reference the field '" + feature.getSimpleName() + "' before it is defined", object, null, INSIGNIFICANT_INDEX, ILLEGAL_FORWARD_REFERENCE); } } else if (isLocalClassSemantics(object)) { iterator.prune(); } } } }	long method	Long method 2 Feature envy 3 Duplicate code 4 Code complexity 5 Poor naming conventions 6 Inefficient looping 7 Lack of proper commenting or documentation	t	f	t			0	14611	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src/org/eclipse/xtext/xbase/validation/XbaseValidator.java/#L1028-L1063	2	2487	14611
3412	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final void mRULE_ML_COMMENT() throws RecognitionException { try { int _type = RULE_ML_COMMENT; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalCrossReferenceProposalTestLanguage.g:169:17: ( '/*' ( options {greedy=false; } : . )* '*/' ) // InternalCrossReferenceProposalTestLanguage.g:169:19: '/*' ( options {greedy=false; } : . )* '*/' { match("/*"); // InternalCrossReferenceProposalTestLanguage.g:169:24: ( options {greedy=false; } : . )* loop7: do { int alt7=2; int LA7_0 = input.LA(1); if ( (LA7_0=='*') ) { int LA7_1 = input.LA(2); if ( (LA7_1=='/') ) { alt7=2; } else if ( ((LA7_1>='\u0000' && LA7_1<='.')||(LA7_1>='0' && LA7_1<='\uFFFF')) ) { alt7=1; } } else if ( ((LA7_0>='\u0000' && LA7_0<=')')||(LA7_0>='+' && LA7_0<='\uFFFF')) ) { alt7=1; } switch (alt7) { case 1 : // InternalCrossReferenceProposalTestLanguage.g:169:52: . { matchAny(); } break; default : break loop7; } } while (true); match("*/"); } state.type = _type; state.channel = _channel; } finally { } }	long method	long method	t	t	t			0	6662	https://github.com/eclipse/xtext-eclipse/blob/0c7546b6aaf3644a77fc68eef9f3da368cbbeabd/org.eclipse.xtext.ui.tests/src-gen/org/eclipse/xtext/ui/tests/editor/contentassist/parser/antlr/internal/InternalCrossReferenceProposalTestLanguageLexer.java/#L373-L429	1	3412	6662
956	{"message": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void sendMessage(Connection cnx) throws Exception { if (cnx.getServer().getRequiresCredentials()) { // Security is enabled on client as well as on server getMessage().setMessageHasSecurePartFlag(); long userId = -1; if (UserAttributes.userAttributes.get() == null) { // single user mode userId = cnx.getServer().getUserId(); } else { // multi user mode Object id = UserAttributes.userAttributes.get().getServerToId().get(cnx.getServer()); if (id == null) { // This will ensure that this op is retried on another server, unless // the retryCount is exhausted. Fix for Bug 41501 throw new ServerConnectivityException("Connection error while authenticating user"); } userId = (Long) id; } HeapDataOutputStream hdos = new HeapDataOutputStream(Version.CURRENT); try { hdos.writeLong(cnx.getConnectionID()); hdos.writeLong(userId); getMessage().setSecurePart(((ConnectionImpl) cnx).encryptBytes(hdos.toByteArray())); } finally { hdos.close(); } } getMessage().send(false); }	long method	1. long method	t	t	t			0	8539	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/cache/client/internal/AbstractOp.java/#L111-L138	1	956	8539
2193	YES, I found bad smells: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean incrementToken() throws IOException { for(;;) { if (!remainingTokens.isEmpty()) { // clearAttributes(); // not currently necessary restoreState(remainingTokens.removeFirst()); return true; } if (!input.incrementToken()) return false; int len = termAtt.length(); if (len==0) return true; // pass through zero length terms int firstAlternativeIncrement = inject ? 0 : posAtt.getPositionIncrement(); String v = termAtt.toString(); String primaryPhoneticValue = encoder.doubleMetaphone(v); String alternatePhoneticValue = encoder.doubleMetaphone(v, true); // a flag to lazily save state if needed... this avoids a save/restore when only // one token will be generated. boolean saveState=inject; if (primaryPhoneticValue!=null && primaryPhoneticValue.length() > 0 && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); } posAtt.setPositionIncrement( firstAlternativeIncrement ); firstAlternativeIncrement = 0; termAtt.setEmpty().append(primaryPhoneticValue); saveState = true; } if (alternatePhoneticValue!=null && alternatePhoneticValue.length() > 0 && !alternatePhoneticValue.equals(primaryPhoneticValue) && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); saveState = false; } posAtt.setPositionIncrement( firstAlternativeIncrement ); termAtt.setEmpty().append(alternatePhoneticValue); saveState = true; } // Just one token to return, so no need to capture/restore // any state, simply return it. if (remainingTokens.isEmpty()) { return true; } if (saveState) { remainingTokens.addLast(captureState()); } } }	long method	Long method 2 Feature envy	t	f	t			0	13477	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/phonetic/src/java/org/apache/lucene/analysis/phonetic/DoubleMetaphoneFilter.java/#L51-L108	2	2193	13477
2298	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean readFrom(ByteBuffer buf, MessageReader reader) { reader.setBuffer(buf); if (!reader.beforeMessageRead()) return false; if (!super.readFrom(buf, reader)) return false; switch (reader.state()) { case 3: futId = reader.readLong("futId"); if (!reader.isLastRead()) return false; reader.incrementState(); case 4: locksArr = reader.readObjectArray("locksArr", MessageCollectionItemType.MSG, TxLockList.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 5: nearTxKeysArr = reader.readObjectArray("nearTxKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); case 6: txKeysArr = reader.readObjectArray("txKeysArr", MessageCollectionItemType.MSG, IgniteTxKey.class); if (!reader.isLastRead()) return false; reader.incrementState(); } return reader.afterMessageRead(TxLocksResponse.class); }	long method	Long method2 Feature envy	t	f	t			0	14025	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/transactions/TxLocksResponse.java/#L272-L317	2	2298	14025
468	{"message": "YES, I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	long method	t	t	t			0	4551	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	1	468	4551
883	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean optimizeForGoal(ClusterModel clusterModel, Goal goal, GoalViolations goalViolations, Set excludedBrokersForLeadership, Set excludedBrokersForReplicaMove) throws KafkaCruiseControlException { if (clusterModel.topics().isEmpty()) { LOG.info("Skipping goal violation detection because the cluster model does not have any topic."); return false; } Map> initReplicaDistribution = clusterModel.getReplicaDistribution(); Map initLeaderDistribution = clusterModel.getLeaderDistribution(); try { goal.optimize(clusterModel, new HashSet<>(), new OptimizationOptions(excludedTopics(clusterModel), excludedBrokersForLeadership, excludedBrokersForReplicaMove)); } catch (OptimizationFailureException ofe) { // An OptimizationFailureException indicates (1) a hard goal violation that cannot be fixed typically due to // lack of physical hardware (e.g. insufficient number of racks to satisfy rack awareness, insufficient number // of brokers to satisfy Replica Capacity Goal, or insufficient number of resources to satisfy resource // capacity goals), or (2) a failure to move offline replicas away from dead brokers/disks. goalViolations.addViolation(goal.name(), false); return true; } Set proposals = AnalyzerUtils.getDiff(initReplicaDistribution, initLeaderDistribution, clusterModel); LOG.trace("{} generated {} proposals", goal.name(), proposals.size()); if (!proposals.isEmpty()) { // A goal violation that can be optimized by applying the generated proposals. goalViolations.addViolation(goal.name(), true); return true; } else { // The goal is already satisfied. return false; } }	long method	long method	t	t	t			0	8029	https://github.com/linkedin/cruise-control/blob/d35af1b6d5a87046e6cd173948755a1e50faa531/cruise-control/src/main/java/com/linkedin/kafka/cruisecontrol/detector/GoalViolationDetector.java/#L217-L251	1	883	8029
620	YES I found bad smells. the bad smells are: long method, feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List> getNamedContexts(final SerializationContextMap map) { final ArrayList> result = CollectionLiterals.>newArrayList(); final HashMap names = CollectionLiterals.newHashMap(); List> _values = map.values(); for (final SerializationContextMap.Entry e : _values) { Set _types = e.getTypes(); for (final EClass t : _types) { { final List ctx = e.getContexts(t); String _xifexpression = null; if ((t == null)) { _xifexpression = ""; } else { _xifexpression = t.getName(); } String _plus = (_xifexpression + "_"); String _significantGrammarElement = this.getSignificantGrammarElement(ctx); final String name = (_plus + _significantGrammarElement); final Integer dup = names.get(name); String _xifexpression_1 = null; if ((dup == null)) { String _xblockexpression = null; { names.put(name, Integer.valueOf(1)); _xblockexpression = name; } _xifexpression_1 = _xblockexpression; } else { String _xblockexpression_1 = null; { names.put(name, Integer.valueOf(((dup).intValue() + 1))); _xblockexpression_1 = ((name + "_") + dup); } _xifexpression_1 = _xblockexpression_1; } final String unique = _xifexpression_1; T _value = e.getValue(); NamedSerializationContexts _namedSerializationContexts = new NamedSerializationContexts(unique, t, ctx, _value); result.add(_namedSerializationContexts); } } } return result; }	long method	long method, feature envy	t	f	t	feature envy.		0	6215	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.xtext.generator/xtend-gen/org/eclipse/xtext/xtext/generator/serializer/NamedSerializationContextProvider.java/#L45-L88	2	620	6215
232	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public GSSCredentialSpi getCredentialElement(GSSNameSpi name, int initLifetime, int acceptLifetime, int usage) throws GSSException { if (name != null && !(name instanceof GssNameElement)) { name = GssNameElement.getInstance(name.toString(), name.getStringNameType()); } GssCredElement credElement; if (usage == GSSCredential.INITIATE_ONLY) { credElement = GssInitCred.getInstance(caller, (GssNameElement) name, initLifetime); } else if (usage == GSSCredential.ACCEPT_ONLY) { credElement = GssAcceptCred.getInstance(caller, (GssNameElement) name, acceptLifetime); } else if (usage == GSSCredential.INITIATE_AND_ACCEPT) { throw new GSSException(GSSException.FAILURE, -1, "Unsupported usage mode: INITIATE_AND_ACCEPT"); } else { throw new GSSException(GSSException.FAILURE, -1, "Unknown usage mode: " + usage); } return credElement; }	long method	long method, data class	t	t	t	data class		0	2538	https://github.com/apache/directory-kerby/blob/19fa650424f60d23d1c1bf0af4bb80ffcb8d8843/kerby-kerb/kerb-gssapi/src/main/java/org/apache/kerby/kerberos/kerb/gss/GssMechFactory.java/#L113-L135	1	232	2538
1486	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void getSuggestions(final String query) { if (query == null || query.isEmpty()) { return; } // Initialize the locatorSugestion parameters locatorParams(SUGGEST_PLACE); // Attach a listener to the locator task since // the LocatorTask may or may not be loaded the // the very first time a user types text into the search box. // If the Locator is already loaded, the following listener // is invoked immediately. mLocator.addDoneLoadingListener(new Runnable() { @Override public void run() { // Does this locator support suggestions? if (mLocator.getLoadStatus().name() != LoadStatus.LOADED.name()){ //Log.i(TAG,"##### " + mLocator.getLoadStatus().name()); } else if (!mLocator.getLocatorInfo().isSupportsSuggestions()){ return; } //og.i(TAG,"****** " + mLocator.getLoadStatus().name()); final ListenableFuture> suggestionsFuture = mLocator.suggestAsync(query, suggestParams); // Attach a done listener that executes upon completion of the async call suggestionsFuture.addDoneListener(new Runnable() { @Override public void run() { try { // Get the suggestions returned from the locator task. // Store retrieved suggestions for future use (e.g. if the user // selects a retrieved suggestion, it can easily be // geocoded). mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList); } catch (Exception e) { Log.e(TAG, "Error on getting suggestions " + e.getMessage()); } } }); } }); // Initiate the asynchronous call mLocator.loadAsync(); }	long method	Long method2 Feature envy	t	f	t			0	11092	https://github.com/Esri/maps-app-android/blob/1af1f74ece08f678ce7de7bf173034d30e1cb100/maps-app/src/main/java/com/esri/android/mapsapp/MapFragment.java/#L735-L781	2	1486	11092
992	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void writeJSON( final Writer pw, final ServiceReference service, final boolean fullDetails, final Locale locale, final String filter ) throws IOException { final ServiceReference[] allServices = this.getServices(filter); final String statusLine = getStatusLine( allServices ); final ServiceReference[] services = ( service != null ) ? new ServiceReference[] { service } : allServices; final JSONWriter jw = new JSONWriter( pw ); jw.object(); jw.key( "status" ); jw.value( statusLine ); jw.key( "serviceCount" ); jw.value( allServices.length ); jw.key( "data" ); jw.array(); for ( int i = 0; i < services.length; i++ ) { serviceInfo( jw, services[i], fullDetails || service != null, locale ); } jw.endArray(); jw.endObject(); }	long method	Long method2 Feature envy	t	f	t			0	9038	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/webconsole/src/main/java/org/apache/felix/webconsole/internal/core/ServicesServlet.java/#L342-L374	2	992	9038
393	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private synchronized Map getResourceBundleEntries(final Bundle bundle) { String file = (String) bundle.getHeaders().get(Constants.BUNDLE_LOCALIZATION); if (file == null) { file = Constants.BUNDLE_LOCALIZATION_DEFAULT_BASENAME; } // remove leading slash if (file.startsWith("/")) //$NON-NLS-1$ { file = file.substring(1); } // split path and base name int slash = file.lastIndexOf('/'); String fileName = file.substring(slash + 1); String path = (slash <= 0) ? "/" : file.substring(0, slash); //$NON-NLS-1$ HashMap resourceBundleEntries = new HashMap(); Enumeration locales = bundle.findEntries(path, fileName + "*.properties", false); //$NON-NLS-1$ if (locales != null) { while (locales.hasMoreElements()) { URL entry = (URL) locales.nextElement(); // calculate the key String entryPath = entry.getPath(); final int start = entryPath.lastIndexOf('/') + 1 + fileName.length(); // path, // slash // and // base // name final int end = entryPath.length() - 11; // .properties suffix entryPath = entryPath.substring(start, end); // the default language is "name.properties" thus the entry // path is empty and must default to "_"+DEFAULT_LOCALE if (entryPath.length() == 0) { entryPath = "_" + DEFAULT_LOCALE; //$NON-NLS-1$ } // only add this entry, if the "language" is not provided // by the main bundle or an earlier bound fragment if (!resourceBundleEntries.containsKey(entryPath)) { resourceBundleEntries.put(entryPath, entry); } } } return resourceBundleEntries; }	long method	long method	t	t	t			0	3969	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/inventory/src/main/java/org/apache/felix/inventory/impl/webconsole/ResourceBundleManager.java/#L134-L189	1	393	3969
1172	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final void mRULE_STRING() throws RecognitionException { try { int _type = RULE_STRING; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalXImportSectionTestLang.g:6435:13: ( ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) ) // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) { // InternalXImportSectionTestLang.g:6435:15: ( '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? | '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? ) int alt15=2; int LA15_0 = input.LA(1); if ( (LA15_0=='\"') ) { alt15=1; } else if ( (LA15_0=='\'') ) { alt15=2; } else { NoViableAltException nvae = new NoViableAltException("", 15, 0, input); throw nvae; } switch (alt15) { case 1 : // InternalXImportSectionTestLang.g:6435:16: '\"' ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* ( '\"' )? { match('\"'); // InternalXImportSectionTestLang.g:6435:20: ( '\\\\' . | ~ ( ( '\\\\' | '\"' ) ) )* loop11: do { int alt11=3; int LA11_0 = input.LA(1); if ( (LA11_0=='\\') ) { alt11=1; } else if ( ((LA11_0>='\u0000' && LA11_0<='!')||(LA11_0>='#' && LA11_0<='[')||(LA11_0>=']' && LA11_0<='\uFFFF')) ) { alt11=2; } switch (alt11) { case 1 : // InternalXImportSectionTestLang.g:6435:21: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:28: ~ ( ( '\\\\' | '\"' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='!')||(input.LA(1)>='#' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop11; } } while (true); // InternalXImportSectionTestLang.g:6435:44: ( '\"' )? int alt12=2; int LA12_0 = input.LA(1); if ( (LA12_0=='\"') ) { alt12=1; } switch (alt12) { case 1 : // InternalXImportSectionTestLang.g:6435:44: '\"' { match('\"'); } break; } } break; case 2 : // InternalXImportSectionTestLang.g:6435:49: '\\'' ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* ( '\\'' )? { match('\''); // InternalXImportSectionTestLang.g:6435:54: ( '\\\\' . | ~ ( ( '\\\\' | '\\'' ) ) )* loop13: do { int alt13=3; int LA13_0 = input.LA(1); if ( (LA13_0=='\\') ) { alt13=1; } else if ( ((LA13_0>='\u0000' && LA13_0<='&')||(LA13_0>='(' && LA13_0<='[')||(LA13_0>=']' && LA13_0<='\uFFFF')) ) { alt13=2; } switch (alt13) { case 1 : // InternalXImportSectionTestLang.g:6435:55: '\\\\' . { match('\\'); matchAny(); } break; case 2 : // InternalXImportSectionTestLang.g:6435:62: ~ ( ( '\\\\' | '\\'' ) ) { if ( (input.LA(1)>='\u0000' && input.LA(1)<='&')||(input.LA(1)>='(' && input.LA(1)<='[')||(input.LA(1)>=']' && input.LA(1)<='\uFFFF') ) { input.consume(); } else { MismatchedSetException mse = new MismatchedSetException(null,input); recover(mse); throw mse;} } break; default : break loop13; } } while (true); // InternalXImportSectionTestLang.g:6435:79: ( '\\'' )? int alt14=2; int LA14_0 = input.LA(1); if ( (LA14_0=='\'') ) { alt14=1; } switch (alt14) { case 1 : // InternalXImportSectionTestLang.g:6435:79: '\\'' { match('\''); } break; } } break; } } state.type = _type; state.channel = _channel; } finally { } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	10197	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase.testlanguages/src-gen/org/eclipse/xtext/xbase/testlanguages/parser/antlr/internal/InternalXImportSectionTestLangLexer.java/#L2127-L2300	2	1172	10197
1194	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public long exportTo(final ContentClaim claim, final Path destination, final boolean append, final long offset, final long length) throws IOException { if (claim == null) { if (append) { return 0L; } Files.createFile(destination); return 0L; } final StandardOpenOption openOption = append ? StandardOpenOption.APPEND : StandardOpenOption.CREATE; try (final InputStream in = read(claim); final OutputStream destinationStream = Files.newOutputStream(destination, openOption)) { if (offset > 0) { StreamUtils.skip(in, offset); } StreamUtils.copy(in, destinationStream, length); return length; } }	long method	long method	t	t	t			0	10265	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-framework-core/src/main/java/org/apache/nifi/controller/repository/VolatileContentRepository.java/#L397-L418	1	1194	10265
1845	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	Long Method, Data Class	t	f	t	Data Class		0	12164	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	1	1845	12164
859	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static ImmutableDictionaryReader loadDictionary(PinotDataBuffer dictionaryBuffer, ColumnMetadata metadata, boolean loadOnHeap) { FieldSpec.DataType dataType = metadata.getDataType(); if (loadOnHeap) { String columnName = metadata.getColumnName(); LOGGER.info("Loading on-heap dictionary for column: {}", columnName); } int length = metadata.getCardinality(); switch (dataType) { case INT: return (loadOnHeap) ? new OnHeapIntDictionary(dictionaryBuffer, length) : new IntDictionary(dictionaryBuffer, length); case LONG: return (loadOnHeap) ? new OnHeapLongDictionary(dictionaryBuffer, length) : new LongDictionary(dictionaryBuffer, length); case FLOAT: return (loadOnHeap) ? new OnHeapFloatDictionary(dictionaryBuffer, length) : new FloatDictionary(dictionaryBuffer, length); case DOUBLE: return (loadOnHeap) ? new OnHeapDoubleDictionary(dictionaryBuffer, length) : new DoubleDictionary(dictionaryBuffer, length); case STRING: int numBytesPerValue = metadata.getColumnMaxLength(); byte paddingByte = (byte) metadata.getPaddingCharacter(); return loadOnHeap ? new OnHeapStringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte) : new StringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte); case BYTES: numBytesPerValue = metadata.getColumnMaxLength(); return new BytesDictionary(dictionaryBuffer, length, numBytesPerValue); default: throw new IllegalStateException("Illegal data type for dictionary: " + dataType); } }	long method	long method	t	t	t			0	7898	https://github.com/apache/incubator-pinot/blob/d58f8bce4b59de096b4ee9fee61c679482dd1d7d/pinot-core/src/main/java/org/apache/pinot/core/segment/index/column/PhysicalColumnIndexContainer.java/#L143-L182	1	859	7898
4334	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Data Class", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List> getNamedContexts(final SerializationContextMap map) { final ArrayList> result = CollectionLiterals.>newArrayList(); final HashMap names = CollectionLiterals.newHashMap(); List> _values = map.values(); for (final SerializationContextMap.Entry e : _values) { Set _types = e.getTypes(); for (final EClass t : _types) { { final List ctx = e.getContexts(t); String _xifexpression = null; if ((t == null)) { _xifexpression = ""; } else { _xifexpression = t.getName(); } String _plus = (_xifexpression + "_"); String _significantGrammarElement = this.getSignificantGrammarElement(ctx); final String name = (_plus + _significantGrammarElement); final Integer dup = names.get(name); String _xifexpression_1 = null; if ((dup == null)) { String _xblockexpression = null; { names.put(name, Integer.valueOf(1)); _xblockexpression = name; } _xifexpression_1 = _xblockexpression; } else { String _xblockexpression_1 = null; { names.put(name, Integer.valueOf(((dup).intValue() + 1))); _xblockexpression_1 = ((name + "_") + dup); } _xifexpression_1 = _xblockexpression_1; } final String unique = _xifexpression_1; T _value = e.getValue(); NamedSerializationContexts _namedSerializationContexts = new NamedSerializationContexts(unique, t, ctx, _value); result.add(_namedSerializationContexts); } } } return result; }	long method	data class, long method	t	t	t	data class		0	11444	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.xtext.generator/xtend-gen/org/eclipse/xtext/xtext/generator/serializer/NamedSerializationContextProvider.java/#L45-L88	1	4334	11444
2001	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void initializeOp(Configuration hconf) throws HiveException { // If there is a sort-merge join followed by a regular join, the SMBJoinOperator may not // get initialized at all. Consider the following query: // A SMB B JOIN C // For the mapper processing C, The SMJ is not initialized, no need to close it either. initDone = true; super.initializeOp(hconf); closeCalled = false; this.firstFetchHappened = false; this.inputFileChanged = false; // get the largest table alias from order int maxAlias = 0; for (byte pos = 0; pos < order.length; pos++) { if (pos > maxAlias) { maxAlias = pos; } } maxAlias += 1; nextGroupStorage = new RowContainer[maxAlias]; candidateStorage = new RowContainer[maxAlias]; keyWritables = new ArrayList[maxAlias]; nextKeyWritables = new ArrayList[maxAlias]; fetchDone = new boolean[maxAlias]; foundNextKeyGroup = new boolean[maxAlias]; int bucketSize; // For backwards compatibility reasons we honor the older // HIVEMAPJOINBUCKETCACHESIZE if set different from default. // By hive 0.13 we should remove this code. int oldVar = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVEMAPJOINBUCKETCACHESIZE); if (oldVar != 100) { bucketSize = oldVar; } else { bucketSize = HiveConf.getIntVar(hconf, HiveConf.ConfVars.HIVESMBJOINCACHEROWS); } for (byte pos = 0; pos < order.length; pos++) { RowContainer> rc = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); nextGroupStorage[pos] = rc; RowContainer> candidateRC = JoinUtil.getRowContainer(hconf, rowContainerStandardObjectInspectors[pos], pos, bucketSize,spillTableDesc, conf, !hasFilter(pos), reporter); candidateStorage[pos] = candidateRC; } tagToAlias = conf.convertToArray(conf.getTagToAlias(), String.class); for (byte pos = 0; pos < order.length; pos++) { if (pos != posBigTable) { fetchDone[pos] = false; } foundNextKeyGroup[pos] = false; } }	long method	Long method2 Feature envy	t	f	t			0	12710	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/SMBMapJoinOperator.java/#L102-L166	2	2001	12710
754	Yes, I found bad smells. the bad smells are: 1. Commented out code, 2. Long method, 3. Feature envy, 4. Duplicate code, 5. Magic numbers, 6. Conditional complexity, 7. Inconsistent naming convention, 8. Hard-coded value.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @SuppressWarnings("unchecked") public int executeUpdate(final String inSql) throws SQLException { this.sql = inSql; if (this.sql == null) { throw new SQLException("sql is null"); } trimSQL(); if (this.sql.length() == 0) { throw new SQLException("empty sql"); } String lowcaseSql = this.sql.toLowerCase(); Object req = null; // TODO use patterns if (lowcaseSql.startsWith("create domain") || lowcaseSql.startsWith("create table")) { //$NON-NLS-1$ int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); req = new CreateDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete domain") || lowcaseSql.startsWith("delete table") //$NON-NLS-1$ || lowcaseSql.startsWith("drop table")) { int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); List pending = this.conn.getPendingColumns(domain); if (pending != null) { pending = new ArrayList<>(pending); for (String attr : pending) { this.conn.removePendingColumn(domain, attr); } } req = new DeleteDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete from")) { req = prepareDeleteRowRequest(); } else if (lowcaseSql.startsWith("alter table ")) { req = prepareDropAttributeRequest(); } else if (lowcaseSql.startsWith("insert ")) { req = prepareInsertRequest(); } else if (lowcaseSql.startsWith("update ")) { req = prepareUpdateRequest(); } else if (lowcaseSql.startsWith("create testdomain ")) { req = new ArrayList<>(); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(this.sql.lastIndexOf(" ") + 1).trim(), //$NON-NLS-1$ DELIMITED_IDENTIFIER_QUOTE); ((List) req).add(new CreateDomainRequest().withDomainName(domain)); ReplaceableAttribute attr = new ReplaceableAttribute().withName("attr1").withValue("val1").withReplace(Boolean.TRUE); for (int i = 0; i < 570; i++) { ((List) req).add(new PutAttributesRequest().withDomainName(domain).withItemName("item" + i).withAttributes(attr)); } } if (req != null) { int result = executeSDBRequest(req); if (this.params != null) { for (Object obj : this.params) { if (obj instanceof SimpleDBItemName) { ((SimpleDBItemName) obj).setPersisted(true); } } } return result; } throw new SQLException("unsupported update: " + this.sql); }	long method	Commented out code, 2 Long method, 3 Feature envy, 4 Duplicate code, 5 Magic numbers, 6 Conditional complexity, 7 Inconsistent naming convention, 8 Hard-coded value	t	f	t	. Commented out code, 3. Feature envy, 4. Duplicate code, 5. Magic numbers, 6. Conditional complexity, 7. Inconsistent naming convention, 8. Hard-coded value.		0	7039	https://github.com/aws/aws-toolkit-eclipse/blob/49026f53fdd4f80a7fb997c9e40fe6e638a26edc/bundles/com.amazonaws.eclipse.simpledb/src/com/amazonaws/eclipse/datatools/enablement/simpledb/internal/driver/JdbcStatement.java/#L432-L502	2	754	7039
2678	{ "output": "YES I found bad smells", "bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	long method	t	t	t			0	15253	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	1	2678	15253
2575	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: InitializeParams get(String id) throws LanguageServerException { InitializeParams initializeParams = new InitializeParams(); LOG.debug("Initialize params constructing: started"); Boolean locality = localityRegistry.get(id); LOG.debug("Locality: {}", locality); Integer processId = locality ? ProcessIdProvider.get() : null; initializeParams.setProcessId(processId); LOG.debug("Process id: {}", processId); String projectsRoot = projectsRootRegistry.getOrNull(id); String rootPath; if (projectsRoot != null) { rootPath = projectsRoot; } else { rootPath = Paths.get(rootUri).toAbsolutePath().toString(); } initializeParams.setRootPath(rootPath); LOG.debug("Root path: {}", rootPath); String rootUri; if (projectsRoot != null) { rootUri = Paths.get(projectsRoot).toUri().toString(); } else { rootUri = this.rootUri.toString(); } initializeParams.setRootUri(rootUri); LOG.debug("Root URI: {}", rootUri); ClientCapabilities capabilities = ClientCapabilitiesProvider.get(); initializeParams.setCapabilities(capabilities); LOG.debug("Client capabilities: {}", capabilities); String clientName = ClientCapabilitiesProvider.CLIENT_NAME; initializeParams.setClientName(clientName); LOG.debug("Client name: {}", clientName); LOG.debug("Initialize params constructing: finished"); return initializeParams; }	long method	Long method2 Feature envy	t	f	t			0	14915	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/wsagent/che-core-api-languageserver/src/main/java/org/eclipse/che/api/languageserver/InitializeParamsProvider.java/#L73-L114	2	2575	14915
766	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void validateArrayStep(String arrStep) throws QueryException { boolean wildAllowed = true; // * is allowed initially boolean digitAllowed = true; // Digit is allowed as next char boolean commaAllowed = false; // Comma is allowed as next char boolean afterDigit = false; // Last non-space was a digit boolean toAllowed = false; // Any space after digit allows "to" boolean afterTo = false; // After "to" expecting range end boolean toInProgress = false; // Prior char was 't' in "to" boolean spaceRequired = false; // A whitespace is required (after "to") boolean digitRequired = false; // Digit required after comma or "to" for (int i = 1; i < arrStep.length() - 1; ++i) { char currentChar = arrStep.charAt(i); if (currentChar == '*') { if (!wildAllowed) throwArrayException(arrStep); wildAllowed = false; // We've seen the only allowed wildcard digitAllowed = false; // Only whitespace is allowed afterward } else if (currentChar == ',') { if (!commaAllowed) throwArrayException(arrStep); commaAllowed = false; toAllowed = false; afterDigit = false; afterTo = false; digitRequired = true; // Next non-space must be a digit } else if ("0123456789".indexOf(currentChar) >= 0) { if (!digitAllowed) throwArrayException(arrStep); wildAllowed = false; // Wildcard no longer allowed commaAllowed = true; afterDigit = true; digitRequired = false; } else if (" \t\n\r".indexOf(currentChar) >= 0) { // Whitespace not allowed when parsing "to" if (toInProgress) throwArrayException(arrStep); if (afterDigit) { // Last non-space was a digit - next non-space is "to" or comma digitAllowed = false; toAllowed = !afterTo; commaAllowed = true; } else if (spaceRequired) { // This is the whitespace required after "to" digitAllowed = true; spaceRequired = false; digitRequired = true; // At least one digit must follow } } else if (currentChar == 't') { if (!toAllowed) throwArrayException(arrStep); toInProgress = true; // Next char must be the 'o' in "to" commaAllowed = false; afterDigit = false; } else if (currentChar == 'o') { if (!toInProgress) throwArrayException(arrStep); toInProgress = false; toAllowed = false; afterTo = true; spaceRequired = true; // "to" must be followed by whitespace } else { // Invalid character throwArrayException(arrStep); } } // Empty array or only whitespace found if (wildAllowed) throwArrayException(arrStep); // Incomplete "to" or comma sequence at end of subscript if (toInProgress || spaceRequired || digitRequired) throwArrayException(arrStep); }	long method	long method	t	t	t			0	7185	https://github.com/oracle/soda-for-java/blob/352634e26b5a0d9d529d5436f7a4c8e21ed1dbf0/src/oracle/json/parser/PathParser.java/#L138-L239	1	766	7185
2841	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @VisibleForTesting @Nonnull static Supplier supplierFromDimensionSelector(final DimensionSelector selector) { Preconditions.checkNotNull(selector, "selector"); return () -> { final IndexedInts row = selector.getRow(); if (row.size() == 1) { return selector.lookupName(row.get(0)); } else { // Can't handle non-singly-valued rows in expressions. // Treat them as nulls until we think of something better to do. return null; } }; }	long method	long method	t	t	t			0	1663	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/processing/src/main/java/org/apache/druid/segment/virtual/ExpressionSelectors.java/#L311-L327	1	2841	1663
490	YES I found bad smells the bad smells are: Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void validateDepositDetailForUpdate(final JsonElement element, final FromJsonHelper fromApiJsonHelper, final DataValidatorBuilder baseDataValidator) { if (fromApiJsonHelper.parameterExists(nameParamName, element)) { final String name = fromApiJsonHelper.extractStringNamed(nameParamName, element); baseDataValidator.reset().parameter(nameParamName).value(name).notBlank().notExceedingLengthOf(100); } if (fromApiJsonHelper.parameterExists(shortNameParamName, element)) { final String shortName = fromApiJsonHelper.extractStringNamed(shortNameParamName, element); baseDataValidator.reset().parameter(shortNameParamName).value(shortName).notBlank().notExceedingLengthOf(4); } if (fromApiJsonHelper.parameterExists(descriptionParamName, element)) { final String description = fromApiJsonHelper.extractStringNamed(descriptionParamName, element); baseDataValidator.reset().parameter(descriptionParamName).value(description).notBlank().notExceedingLengthOf(500); } if (fromApiJsonHelper.parameterExists(currencyCodeParamName, element)) { final String currencyCode = fromApiJsonHelper.extractStringNamed(currencyCodeParamName, element); baseDataValidator.reset().parameter(currencyCodeParamName).value(currencyCode).notBlank(); } if (fromApiJsonHelper.parameterExists(digitsAfterDecimalParamName, element)) { final Integer digitsAfterDecimal = fromApiJsonHelper.extractIntegerSansLocaleNamed(digitsAfterDecimalParamName, element); baseDataValidator.reset().parameter(digitsAfterDecimalParamName).value(digitsAfterDecimal).notNull().inMinMaxRange(0, 6); } if (fromApiJsonHelper.parameterExists(inMultiplesOfParamName, element)) { final Integer inMultiplesOf = fromApiJsonHelper.extractIntegerNamed(inMultiplesOfParamName, element, Locale.getDefault()); baseDataValidator.reset().parameter(inMultiplesOfParamName).value(inMultiplesOf).ignoreIfNull().integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(nominalAnnualInterestRateParamName, element)) { final BigDecimal interestRate = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(nominalAnnualInterestRateParamName, element); baseDataValidator.reset().parameter(nominalAnnualInterestRateParamName).value(interestRate).notNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(interestCompoundingPeriodTypeParamName, element)) { final Integer interestCompoundingPeriodType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCompoundingPeriodTypeParamName, element); baseDataValidator.reset().parameter(interestCompoundingPeriodTypeParamName).value(interestCompoundingPeriodType).notNull() .isOneOfTheseValues(SavingsCompoundingInterestPeriodType.integerValues()); } if (fromApiJsonHelper.parameterExists(interestCalculationTypeParamName, element)) { final Integer interestCalculationType = fromApiJsonHelper.extractIntegerSansLocaleNamed(interestCalculationTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationTypeParamName).value(interestCalculationType).notNull() .inMinMaxRange(1, 2); } if (fromApiJsonHelper.parameterExists(interestCalculationDaysInYearTypeParamName, element)) { final Integer interestCalculationDaysInYearType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCalculationDaysInYearTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationDaysInYearTypeParamName).value(interestCalculationDaysInYearType) .notNull().isOneOfTheseValues(360, 365); } if (fromApiJsonHelper.parameterExists(minRequiredOpeningBalanceParamName, element)) { final BigDecimal minOpeningBalance = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(minRequiredOpeningBalanceParamName, element); baseDataValidator.reset().parameter(minRequiredOpeningBalanceParamName).value(minOpeningBalance).ignoreIfNull() .zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyParamName, element)) { final Integer lockinPeriodFrequency = fromApiJsonHelper.extractIntegerWithLocaleNamed(lockinPeriodFrequencyParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyParamName).value(lockinPeriodFrequency).ignoreIfNull() .integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyTypeParamName, element)) { final Integer lockinPeriodFrequencyType = fromApiJsonHelper.extractIntegerSansLocaleNamed(lockinPeriodFrequencyTypeParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyTypeParamName).value(lockinPeriodFrequencyType).inMinMaxRange(0, 3); } if (fromApiJsonHelper.parameterExists(withdrawalFeeForTransfersParamName, element)) { final Boolean isWithdrawalFeeApplicableForTransfers = fromApiJsonHelper.extractBooleanNamed(withdrawalFeeForTransfersParamName, element); baseDataValidator.reset().parameter(withdrawalFeeForTransfersParamName).value(isWithdrawalFeeApplicableForTransfers) .ignoreIfNull().validateForBooleanValue(); } if (fromApiJsonHelper.parameterExists(feeAmountParamName, element)) { final BigDecimal annualFeeAmount = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(feeAmountParamName, element); baseDataValidator.reset().parameter(feeAmountParamName).value(annualFeeAmount).ignoreIfNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(feeOnMonthDayParamName, element)) { final MonthDay monthDayOfAnnualFee = fromApiJsonHelper.extractMonthDayNamed(feeOnMonthDayParamName, element); baseDataValidator.reset().parameter(feeOnMonthDayParamName).value(monthDayOfAnnualFee).ignoreIfNull(); } if (this.fromApiJsonHelper.parameterExists(minBalanceForInterestCalculationParamName, element)) { final BigDecimal minBalanceForInterestCalculation = this.fromApiJsonHelper.extractBigDecimalWithLocaleNamed( minBalanceForInterestCalculationParamName, element); baseDataValidator.reset().parameter(minBalanceForInterestCalculationParamName).value(minBalanceForInterestCalculation) .ignoreIfNull().zeroOrPositiveAmount(); } final Long savingsControlAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue()).value(savingsControlAccountId) .ignoreIfNull().integerGreaterThanZero(); final Long savingsReferenceAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue()) .value(savingsReferenceAccountId).ignoreIfNull().integerGreaterThanZero(); final Long transfersInSuspenseAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue()) .value(transfersInSuspenseAccountId).ignoreIfNull().integerGreaterThanZero(); final Long interestOnSavingsAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue()) .value(interestOnSavingsAccountId).ignoreIfNull().integerGreaterThanZero(); final Long incomeFromFeeId = fromApiJsonHelper.extractLongNamed(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue()).value(incomeFromFeeId) .ignoreIfNull().integerGreaterThanZero(); final Long incomeFromPenaltyId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue()).value(incomeFromPenaltyId) .ignoreIfNull().integerGreaterThanZero(); validatePaymentChannelFundSourceMappings(fromApiJsonHelper, baseDataValidator, element); validateChargeToIncomeAccountMappings(fromApiJsonHelper, baseDataValidator, element); validateTaxWithHoldingParams(baseDataValidator, element, false); }	long method	Long method	t	f	t			0	4881	https://github.com/apache/fineract/blob/210e380df3ca5c74c8c2fa09e7fe1cffdb87e20a/fineract-provider/src/main/java/org/apache/fineract/portfolio/savings/data/DepositProductDataValidator.java/#L413-L547	2	490	4881
1592	YES I found bad smells the bad smells are: 1.Long method, 2.Duplicated Code, 3.Complex method, 4.Long parameter list, 5.Magic numbers, 6.Inappropriate comments.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void handleHeaderFooter(Range[] ranges, String type, HWPFDocument document, PicturesSource pictures, PicturesTable pictureTable, XHTMLContentHandler xhtml) throws SAXException, IOException, TikaException { if (countParagraphs(ranges) > 0) { xhtml.startElement("div", "class", type); ListManager listManager = new ListManager(document); for (Range r : ranges) { if (r != null) { for (int i = 0; i < r.numParagraphs(); i++) { Paragraph p = r.getParagraph(i); i += handleParagraph(p, 0, r, document, FieldsDocumentPart.HEADER, pictures, pictureTable, listManager, xhtml); } } } xhtml.endElement("div"); } }	long method	Long method, 2Duplicated Code, 3Complex method, 4Long parameter list, 5Magic numbers, 6Inappropriate comments	t	f	t	2.Duplicated Code, 3.Complex method, 4.Long parameter list, 5.Magic numbers, 6.Inappropriate comments.		0	11396	https://github.com/apache/tika/blob/4131c6e30f2e0eb1feb85e0f7576531d4e830468/tika-parsers/src/main/java/org/apache/tika/parser/microsoft/WordExtractor.java/#L248-L266	2	1592	11396
2015	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List getOrderedLogFileIds() { File fileLogDir = new File(logDir); String[] logFileNames = null; List logFileIds = null; if (!fileLogDir.exists()) { LOGGER.log(Level.INFO, "log dir " + logDir + " doesn't exist. returning empty list"); return Collections.emptyList(); } if (!fileLogDir.isDirectory()) { throw new IllegalStateException("log dir " + logDir + " exists but it is not a directory"); } logFileNames = fileLogDir.list((dir, name) -> name.startsWith(logFilePrefix)); if (logFileNames == null) { throw new IllegalStateException("listing of log dir (" + logDir + ") files returned null. " + "Either an IO error occurred or the dir was just deleted by another process/thread"); } if (logFileNames.length == 0) { LOGGER.log(Level.INFO, "the log dir (" + logDir + ") is empty. returning empty list"); return Collections.emptyList(); } logFileIds = new ArrayList<>(); for (String fileName : logFileNames) { logFileIds.add(Long.parseLong(fileName.substring(logFilePrefix.length() + 1))); } logFileIds.sort(Long::compareTo); return logFileIds; }	long method	Long method2 Feature envy	t	f	t			0	12768	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-transactions/src/main/java/org/apache/asterix/transaction/management/service/logging/LogManager.java/#L440-L466	2	2015	12768
486	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void setVersions(final VersionTag versionTag) { this.memberId = versionTag.getMemberID(); int eVersion = versionTag.getEntryVersion(); this.entryVersionLowBytes = (short) (eVersion & 0xffff); this.entryVersionHighByte = (byte) ((eVersion & 0xff0000) >> 16); this.regionVersionHighBytes = versionTag.getRegionVersionHighBytes(); this.regionVersionLowBytes = versionTag.getRegionVersionLowBytes(); if (!versionTag.isGatewayTag() && this.distributedSystemId == versionTag.getDistributedSystemId()) { if (getVersionTimeStamp() <= versionTag.getVersionTimeStamp()) { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } else { versionTag.setVersionTimeStamp(getVersionTimeStamp()); } } else { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } this.distributedSystemId = (byte) (versionTag.getDistributedSystemId() & 0xff); }	long method	Long method 2 Feature envy	t	f	t			0	4755	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/entries/VersionedStatsRegionEntryOffHeapIntKey.java/#L287-L306	2	486	4755
1899	{"message": "YES I found bad smells", "detected_bad_smells": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void Blit(SurfaceData src, SurfaceData dst, Composite comp, Region clip, int srcx, int srcy, int dstx, int dsty, int w, int h) { Raster srcRast = src.getRaster(srcx, srcy, w, h); IntegerComponentRaster icr = (IntegerComponentRaster) srcRast; int[] srcPix = icr.getDataStorage(); WritableRaster dstRast = (WritableRaster) dst.getRaster(dstx, dsty, w, h); ColorModel dstCM = dst.getColorModel(); Region roi = CustomComponent.getRegionOfInterest(src, dst, clip, srcx, srcy, dstx, dsty, w, h); SpanIterator si = roi.getSpanIterator(); Object dstPix = null; int srcScan = icr.getScanlineStride(); // assert(icr.getPixelStride() == 1); srcx -= dstx; srcy -= dsty; int[] span = new int[4]; while (si.nextSpan(span)) { int rowoff = (icr.getDataOffset(0) + (srcy + span[1]) * srcScan + (srcx + span[0])); for (int y = span[1]; y < span[3]; y++) { int off = rowoff; for (int x = span[0]; x < span[2]; x++) { dstPix = dstCM.getDataElements(srcPix[off++], dstPix); dstRast.setDataElements(x, y, dstPix); } rowoff += srcScan; } } // REMIND: We need to do something to make sure that dstRast // is put back to the destination (as in the native Release // function) // src.releaseRaster(srcRast); // NOP? // dst.releaseRaster(dstRast); }	long method	1. long method	t	t	t			0	12355	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/sun/java2d/loops/CustomComponent.java/#L171-L213	1	1899	12355
2130	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static byte[] getIP() { try { Enumeration allNetInterfaces = NetworkInterface.getNetworkInterfaces(); InetAddress ip = null; byte[] internalIP = null; while (allNetInterfaces.hasMoreElements()) { NetworkInterface netInterface = (NetworkInterface) allNetInterfaces.nextElement(); Enumeration addresses = netInterface.getInetAddresses(); while (addresses.hasMoreElements()) { ip = (InetAddress) addresses.nextElement(); if (ip != null && ip instanceof Inet4Address) { byte[] ipByte = ip.getAddress(); if (ipByte.length == 4) { if (ipCheck(ipByte)) { if (!isInternalIP(ipByte)) { return ipByte; } else if (internalIP == null) { internalIP = ipByte; } } } } } } if (internalIP != null) { return internalIP; } else { throw new RuntimeException("Can not get local ip"); } } catch (Exception e) { throw new RuntimeException("Can not get local ip", e); } }	long method	long method, blob	t	t	t	blob		0	13230	https://github.com/apache/rocketmq/blob/971fa8ed8b209b39bdfe41c57cd64576d244e6bd/common/src/main/java/org/apache/rocketmq/common/UtilAll.java/#L484-L516	1	2130	13230
1892	{"response": "YES, I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int next() { final int startNode = _startNode; if (_startNode == NULL) { return NULL; } int node = _currentNode; int expType; final int nodeType = _nodeType; if (nodeType != DTM.ELEMENT_NODE) { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType != nodeType); } // %OPT% If the start node is root (e.g. in the case of //node), // we can save the isDescendant() check, because all nodes are // descendants of root. else if (startNode == DTMDefaultBase.ROOTNODE) { do { node++; expType = _exptype2(node); if (NULL == expType) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } else { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } _currentNode = node; return returnNode(makeNodeHandle(node)); }	long method	long method	t	t	t			0	12318	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/xalan/third_party/android/platform/external/apache-xml/src/main/java/org/apache/xml/dtm/ref/sax2dtm/SAX2DTM2.java/#L1658-L1719	1	1892	12318
287	YES, I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public CreateBudgetDetails build() { CreateBudgetDetails __instance__ = new CreateBudgetDetails( compartmentId, targetCompartmentId, displayName, description, amount, resetPeriod, freeformTags, definedTags); __instance__.__explicitlySet__.addAll(__explicitlySet__); return __instance__; }	long method	Long method	t	f	t			0	3060	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-budget/src/main/java/com/oracle/bmc/budget/model/CreateBudgetDetails.java/#L103-L116	2	287	3060
3786	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean equals(TListSentryPrivilegesRequest that) { if (that == null) return false; boolean this_present_protocol_version = true; boolean that_present_protocol_version = true; if (this_present_protocol_version || that_present_protocol_version) { if (!(this_present_protocol_version && that_present_protocol_version)) return false; if (this.protocol_version != that.protocol_version) return false; } boolean this_present_requestorUserName = true && this.isSetRequestorUserName(); boolean that_present_requestorUserName = true && that.isSetRequestorUserName(); if (this_present_requestorUserName || that_present_requestorUserName) { if (!(this_present_requestorUserName && that_present_requestorUserName)) return false; if (!this.requestorUserName.equals(that.requestorUserName)) return false; } boolean this_present_roleName = true && this.isSetRoleName(); boolean that_present_roleName = true && that.isSetRoleName(); if (this_present_roleName || that_present_roleName) { if (!(this_present_roleName && that_present_roleName)) return false; if (!this.roleName.equals(that.roleName)) return false; } boolean this_present_authorizableHierarchy = true && this.isSetAuthorizableHierarchy(); boolean that_present_authorizableHierarchy = true && that.isSetAuthorizableHierarchy(); if (this_present_authorizableHierarchy || that_present_authorizableHierarchy) { if (!(this_present_authorizableHierarchy && that_present_authorizableHierarchy)) return false; if (!this.authorizableHierarchy.equals(that.authorizableHierarchy)) return false; } return true; }	long method	long method	t	t	t			0	9536	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-provider/sentry-provider-db/src/gen/thrift/gen-javabean/org/apache/sentry/provider/db/service/thrift/TListSentryPrivilegesRequest.java/#L360-L401	1	3786	9536
1197	YES, I found bad smells. The bad smells are: 1. Long method 2. Repeating code 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private EntityCollection createETStreamOnComplexProp(Edm edm, OData odata) { EntityCollection entityCollection = new EntityCollection(); Link readLink = new Link(); readLink.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink.setHref("readLink"); Entity entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("darkturquoise"))); readLink.setInlineEntity(entity); Link readLink1 = new Link(); readLink1.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink1.setHref("readLink"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("darkturquoise"))); readLink1.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", Short.MAX_VALUE)) .addProperty(createPrimitive("PropertyInt32", Integer.MAX_VALUE)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, readLink1)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, readLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); Link editLink = new Link(); editLink.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink.setHref("http://mediaserver:1234/editLink"); editLink.setMediaETag("eTag"); editLink.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("royalblue"))); editLink.setInlineEntity(entity); Link editLink2 = new Link(); editLink2.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink2.setHref("http://mediaserver:1234/editLink"); editLink2.setMediaETag("eTag"); editLink2.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("royalblue"))); editLink2.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", (short) 7)) .addProperty(createPrimitive("PropertyInt32", (Integer) 10)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, editLink2)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, editLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); setEntityType(entityCollection, edm.getEntityType(EntityTypeProvider.nameETStreamOnComplexProp)); createEntityId(edm, odata, "ESStreamOnComplexProp", entityCollection); createOperations("ESStreamOnComplexProp", entityCollection, EntityTypeProvider.nameETStreamOnComplexProp); return entityCollection; }	long method	Long method2 Repeating code3 Feature envy	t	f	t			0	10271	https://github.com/apache/olingo-odata4/blob/f344a3c565b6a67233de1d1169104a728136e7a3/lib/server-tecsvc/src/main/java/org/apache/olingo/server/tecsvc/data/DataCreator.java/#L158-L221	2	1197	10271
1623	{ "message": "YES I found bad smells", "bad_smells": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean equals(Object obj) { if (this == obj) { return true; } if (!super.equals(obj)) { return false; } if (getClass() != obj.getClass()) { return false; } ContextResourceLink other = (ContextResourceLink) obj; if (factory == null) { if (other.factory != null) { return false; } } else if (!factory.equals(other.factory)) { return false; } if (global == null) { if (other.global != null) { return false; } } else if (!global.equals(other.global)) { return false; } return true; }	long method	1 Long Method	t	f	t			0	11490	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/tomcat/util/descriptor/web/ContextResourceLink.java/#L94-L121	1	1623	11490
2696	{"response": "YES I found bad smells", "bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	long method, data class	t	t	t	data class		0	15319	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	1	2696	15319
1928	{"message": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Blob"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: boolean increaseConnectionWindow(int amount) { List> candidates = null; controllerLock.lock(); try { int size = connectionWindowSize; size += amount; if (size < 0) return false; connectionWindowSize = size; if (debug.on()) debug.log("Connection window size is now %d (amount added %d)", size, amount); // Notify waiting streams, until the new increased window size is // effectively exhausted. Iterator,Integer>>> iter = pending.entrySet().iterator(); while (iter.hasNext() && size > 0) { Map.Entry,Integer>> item = iter.next(); Integer streamSize = streams.get(item.getKey()); if (streamSize == null) { iter.remove(); } else { Map.Entry,Integer> e = item.getValue(); int requestedAmount = e.getValue(); // only wakes up the pending streams for which there is // at least 1 byte of space in both windows int minAmount = 1; if (size >= minAmount && streamSize >= minAmount) { size -= Math.min(streamSize, requestedAmount); iter.remove(); if (candidates == null) candidates = new ArrayList<>(); candidates.add(e.getKey()); } } } } finally { controllerLock.unlock(); } if (candidates != null) { candidates.forEach(Stream::signalWindowUpdate); } return true; }	long method	Long Method, Blob	t	f	t	Blob		0	12445	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.net.http/share/classes/jdk/internal/net/http/WindowController.java/#L181-L226	1	1928	12445
369	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ShardHandler getAndPrepShardHandler(SolrQueryRequest req, ResponseBuilder rb) { ShardHandler shardHandler = null; CoreContainer cc = req.getCore().getCoreContainer(); boolean isZkAware = cc.isZooKeeperAware(); rb.isDistrib = req.getParams().getBool(DISTRIB, isZkAware); if (!rb.isDistrib) { // for back compat, a shards param with URLs like localhost:8983/solr will mean that this // search is distributed. final String shards = req.getParams().get(ShardParams.SHARDS); rb.isDistrib = ((shards != null) && (shards.indexOf('/') > 0)); } if (rb.isDistrib) { shardHandler = shardHandlerFactory.getShardHandler(); shardHandler.prepDistributed(rb); if (!rb.isDistrib) { shardHandler = null; // request is not distributed after all and so the shard handler is not needed } } if (isZkAware) { String shardsTolerant = req.getParams().get(ShardParams.SHARDS_TOLERANT); boolean requireZkConnected = shardsTolerant != null && shardsTolerant.equals(ShardParams.REQUIRE_ZK_CONNECTED); ZkController zkController = cc.getZkController(); boolean zkConnected = zkController != null && ! zkController.getZkClient().getConnectionManager().isLikelyExpired(); if (requireZkConnected && false == zkConnected) { throw new SolrException(SolrException.ErrorCode.SERVER_ERROR, "ZooKeeper is not connected"); } else { NamedList headers = rb.rsp.getResponseHeader(); if (headers != null) { headers.add("zkConnected", zkConnected); } } } return shardHandler; }	long method	long method, feature envy	t	t	t	feature envy		0	3819	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/handler/component/SearchHandler.java/#L211-L248	1	369	3819
394	YES, I found bad smells. the bad smells are: 1. Long method, 2. Feature envy, 3. Redundant code, 4. Complicated control flow, 5. Code duplication, 6. Poor exception handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final EObject entryRuleXMultiplicativeExpression() throws RecognitionException { EObject current = null; EObject iv_ruleXMultiplicativeExpression = null; try { // InternalEntities.g:1696:66: (iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF ) // InternalEntities.g:1697:2: iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXMultiplicativeExpressionRule()); } pushFollow(FOLLOW_1); iv_ruleXMultiplicativeExpression=ruleXMultiplicativeExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current =iv_ruleXMultiplicativeExpression; } match(input,EOF,FOLLOW_2); if (state.failed) return current; } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	Long method,2 Feature envy,3 Redundant code,4 Complicated control flow,5 Code duplication,6 Poor exception handling	t	f	t	2. Feature envy, 3. Redundant code, 4. Complicated control flow, 5. Code duplication, 6. Poor exception handling.		0	3978	https://github.com/eclipse/xtext-web/blob/ff7aa71dbdf9f1abf4cf3e3911c17707293dfe49/org.eclipse.xtext.web.example.entities/src-gen/org/eclipse/xtext/web/example/entities/parser/antlr/internal/InternalEntitiesParser.java/#L5034-L5068	2	394	3978
2071	YES I found bad smells the bad smells are: 1)Long method 2)Feature envy 3)Repeated code 4)Naming inconsistencies (e.g. hashKeyValue vs hashKeyName) 5)Multiple responsibilities (method is handling both DynamoDB operations and transferring flowFiles) 6)Catching generic exceptions instead of specific ones 7)Poor code organization (order of variable declarations and logic is not clear)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	)Long method 2)Feature envy 3)Repeated code 4)Naming inconsistencies (eg hashKeyValue vs hashKeyName) 5)Multiple responsibilities (method is handling both DynamoDB operations and transferring flowFiles) 6)Catching generic exceptions instead of specific ones 7)Poor code organization (order of variable declarations and logic is not clear)	t	f	t			0	13025	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	2	2071	13025
483	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void close() throws IOException { boolean success = false; try { if (meta != null) { meta.writeInt(-1); // write EOF marker CodecUtil.writeFooter(meta); // write checksum } if (data != null) { CodecUtil.writeFooter(data); // write checksum } success = true; } finally { if (success) { IOUtils.close(data, meta); } else { IOUtils.closeWhileHandlingException(data, meta); } meta = data = null; } }	long method	long method	t	t	t			0	4713	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/backward-codecs/src/java/org/apache/lucene/codecs/lucene70/Lucene70DocValuesConsumer.java/#L83-L103	1	483	4713
2037	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Magic numbers 5. Lack of comments/documentation 6. Inadequate naming convention 7. Use of raw types 8. Inconsistent formatting/indentation 9. unnecessary temporary variables 10. Empty catch blocks 11. Inconsistent use of logging 12. Use of non-descriptive/misleading variable names 13. Use of wildcard imports 14. Excessive and unnecessary nesting 15. Lack of error handling/exception handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void crawl(File dirRoot) { LOG.info(String.format("Start crawling dir: %s", dirRoot)); // Reset ingest status.a ingestStatus.clear(); // Load actions. loadAndValidateActions(); // Create Ingester. setupIngester(); // Verify valid crawl directory. if (dirRoot == null || !dirRoot.exists()) { throw new IllegalArgumentException("dir root is null or non existant!"); } // Start crawling. Stack stack = new Stack(); stack.push(dirRoot.isDirectory() ? dirRoot : dirRoot.getParentFile()); while (!stack.isEmpty()) { File dir = (File) stack.pop(); LOG.log(Level.INFO, "Crawling " + dir); File[] productFiles; productFiles = isCrawlForDirs() ? dir.listFiles(DIR_FILTER) : dir.listFiles(FILE_FILTER); if(productFiles!=null) { for (File productFile : productFiles) { ingestStatus.add(handleFile(productFile)); } } if (!isNoRecur()) { File[] subdirs = dir.listFiles(DIR_FILTER); if (subdirs != null) { for (File subdir : subdirs) { stack.push(subdir); } } } } LOG.info(String.format("Finished crawling dir: %s", dirRoot)); }	long method	Long method 2 Feature envy 3 Duplicate code 4 Magic numbers 5 Lack of comments/documentation 6 Inadequate naming convention 7 Use of raw types 8 Inconsistent formatting/indentation 9 unnecessary temporary variables	t	f	t			0	12838	https://github.com/apache/oodt/blob/9f2a500b9d061c31ccd71fc66c4d6e40f0c25acb/crawler/src/main/java/org/apache/oodt/cas/crawl/ProductCrawler.java/#L79-L124	2	2037	12838
1587	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static void registerConfigOptions(IConfigManager configManager) { AsterixProperties.registerConfigOptions(configManager); ControllerConfig.Option.DEFAULT_DIR .setDefaultValue(FileUtil.joinPath(System.getProperty(ConfigurationUtil.JAVA_IO_TMPDIR), "asterixdb")); NCConfig.Option.APP_CLASS.setDefaultValue(NCApplication.class.getName()); CCConfig.Option.APP_CLASS.setDefaultValue(CCApplication.class.getName()); try { InputStream propertyStream = ApplicationConfigurator.class.getClassLoader().getResourceAsStream("git.properties"); if (propertyStream != null) { Properties gitProperties = new Properties(); gitProperties.load(propertyStream); StringWriter sw = new StringWriter(); gitProperties.store(sw, null); configManager.setVersionString(sw.toString()); } } catch (IOException e) { throw new IllegalStateException(e); } }	long method	long method, data class	t	t	t	data class		0	11373	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-app/src/main/java/org/apache/asterix/hyracks/bootstrap/ApplicationConfigurator.java/#L45-L65	1	1587	11373
5570	{"message": "YES I found bad smells. The bad smells are: 1. Long method"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void configureInputJobProperties(TableDesc tableDesc, Map jobProperties) { try { Map tableProperties = tableDesc.getJobProperties(); String jobInfoProperty = tableProperties.get(HCatConstants.HCAT_KEY_JOB_INFO); if (jobInfoProperty != null) { LinkedList inputJobInfos = (LinkedList) HCatUtil.deserialize( jobInfoProperty); if (inputJobInfos == null || inputJobInfos.isEmpty()) { throw new IOException("No InputJobInfo was set in job config"); } InputJobInfo inputJobInfo = inputJobInfos.getLast(); HCatTableInfo tableInfo = inputJobInfo.getTableInfo(); HCatSchema dataColumns = tableInfo.getDataColumns(); List dataFields = dataColumns.getFields(); StringBuilder columnNamesSb = new StringBuilder(); StringBuilder typeNamesSb = new StringBuilder(); for (HCatFieldSchema dataField : dataFields) { if (columnNamesSb.length() > 0) { columnNamesSb.append(","); typeNamesSb.append(":"); } columnNamesSb.append(dataField.getName()); typeNamesSb.append(dataField.getTypeString()); } jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS, columnNamesSb.toString()); jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS_TYPES, typeNamesSb.toString()); boolean isTransactionalTable = AcidUtils.isTablePropertyTransactional(tableProperties); AcidUtils.AcidOperationalProperties acidOperationalProperties = AcidUtils.getAcidOperationalProperties(tableProperties); AcidUtils.setAcidOperationalProperties( jobProperties, isTransactionalTable, acidOperationalProperties); } } catch (IOException e) { throw new IllegalStateException("Failed to set output path", e); } }	long method	1. long method	t	t	f		long method	0	8187	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/hcatalog/core/src/main/java/org/apache/hive/hcatalog/mapreduce/FosterStorageHandler.java/#L107-L150	2	5570	8187
1837	{ "message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: NormalizeResultSetNode(ResultSetNode chldRes, ResultColumnList targetResultColumnList, Properties tableProperties, boolean forUpdate, ContextManager cm) throws StandardException { super(chldRes, tableProperties, cm); this.forUpdate = forUpdate; ResultColumnList rcl = chldRes.getResultColumns(); ResultColumnList targetRCL = targetResultColumnList; /* We get a shallow copy of the ResultColumnList and its * ResultColumns. (Copy maintains ResultColumn.expression for now.) * * Setting this.resultColumns to the modified child result column list, * and making a new copy for the child result set node * ensures that the ProjectRestrictNode restrictions still points to * the same list. See d3494_npe_writeup-4.html in DERBY-3494 for a * detailed explanation of how this works. */ ResultColumnList prRCList = rcl; chldRes.setResultColumns(rcl.copyListAndObjects()); // Remove any columns that were generated. prRCList.removeGeneratedGroupingColumns(); // And also columns that were added for ORDER BY (DERBY-6006). prRCList.removeOrderByColumns(); /* Replace ResultColumn.expression with new VirtualColumnNodes * in the NormalizeResultSetNode's ResultColumnList. (VirtualColumnNodes include * pointers to source ResultSetNode, rsn, and source ResultColumn.) */ prRCList.genVirtualColumnNodes(chldRes, chldRes.getResultColumns()); setResultColumns( prRCList ); // Propagate the referenced table map if it's already been created if (chldRes.getReferencedTableMap() != null) { setReferencedTableMap((JBitSet) getReferencedTableMap().clone()); } if (targetResultColumnList != null) { int size = Math.min(targetRCL.size(), getResultColumns().size()); for (int index = 0; index < size; index++) { ResultColumn sourceRC = getResultColumns().elementAt(index); ResultColumn resultColumn = targetRCL.elementAt(index); sourceRC.setType(resultColumn.getTypeServices()); } } }	long method	Long Method, Data Class	t	f	t	Data Class		0	12142	https://github.com/apache/derby/blob/bd246fc89d4fce3f82f8344074ecb8a4713418df/java/org.apache.derby.engine/org/apache/derby/impl/sql/compile/NormalizeResultSetNode.java/#L561-L612	1	1837	12142
1338	YES I found bad smells The bad smells are: 1. Magic numbers 2. Long method 3. Complex logic 4. Feature envy 5. Poor variable naming 6. Repeated code 7. Inconsistent formatting 8. Inefficient use of memory 9. Use of ternary operator 10. Poor exception handling	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private int encode0(byte[] src, int off, int end, byte[] dst) { char[] base64 = isURL ? toBase64URL : toBase64; int sp = off; int slen = (end - off) / 3 * 3; int sl = off + slen; if (linemax > 0 && slen > linemax / 4 * 3) slen = linemax / 4 * 3; int dp = 0; while (sp < sl) { int sl0 = Math.min(sp + slen, sl); for (int sp0 = sp, dp0 = dp ; sp0 < sl0; ) { int bits = (src[sp0++] & 0xff) << 16 | (src[sp0++] & 0xff) << 8 | (src[sp0++] & 0xff); dst[dp0++] = (byte)base64[(bits >>> 18) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 12) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 6) & 0x3f]; dst[dp0++] = (byte)base64[bits & 0x3f]; } int dlen = (sl0 - sp) / 3 * 4; dp += dlen; sp = sl0; if (dlen == linemax && sp < end) { for (byte b : newline){ dst[dp++] = b; } } } if (sp < end) { // 1 or 2 leftover bytes int b0 = src[sp++] & 0xff; dst[dp++] = (byte)base64[b0 >> 2]; if (sp == end) { dst[dp++] = (byte)base64[(b0 << 4) & 0x3f]; if (doPadding) { dst[dp++] = '='; dst[dp++] = '='; } } else { int b1 = src[sp++] & 0xff; dst[dp++] = (byte)base64[(b0 << 4) & 0x3f | (b1 >> 4)]; dst[dp++] = (byte)base64[(b1 << 2) & 0x3f]; if (doPadding) { dst[dp++] = '='; } } } return dp; }	long method	Magic numbers2 Long method3 Complex logic4 Feature envy5 Poor variable naming6 Repeated code7 Inconsistent formatting8 Inefficient use of memory9 Use of ternary operator	t	f	t			0	10733	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/java/util/Base64.java/#L391-L438	2	1338	10733
1390	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void close() throws IOException { boolean success = false; try { if (meta != null) { meta.writeInt(-1); // write EOF marker CodecUtil.writeFooter(meta); // write checksum } if (data != null) { CodecUtil.writeFooter(data); // write checksum } success = true; } finally { if (success) { IOUtils.close(data, meta); } else { IOUtils.closeWhileHandlingException(data, meta); } meta = data = null; } }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	10841	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/backward-codecs/src/java/org/apache/lucene/codecs/lucene70/Lucene70DocValuesConsumer.java/#L83-L103	2	1390	10841
86	{ "response": "YES I found bad smells", "the bad smells are": [ "Long method" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Implementation(minSdk = LOLLIPOP) @HiddenApi protected static void nativeGetPointerCoords( long nativePtr, int pointerIndex, int historyPos, PointerCoords outPointerCoordsObj) { NativeInput.MotionEvent event = getNativeMotionEvent(nativePtr); int pointerCount = event.getPointerCount(); validatePointerIndex(pointerIndex, pointerCount); validatePointerCoords(outPointerCoordsObj); NativeInput.PointerCoords rawPointerCoords; if (historyPos == HISTORY_CURRENT) { rawPointerCoords = event.getRawPointerCoords(pointerIndex); } else { int historySize = event.getHistorySize(); validateHistoryPos(historyPos, historySize); rawPointerCoords = event.getHistoricalRawPointerCoords(pointerIndex, historyPos); } pointerCoordsFromNative( rawPointerCoords, event.getXOffset(), event.getYOffset(), outPointerCoordsObj); }	long method	long method	t	t	t			0	1216	https://github.com/robolectric/robolectric/blob/525bfcfc0e0ed1653ad57341b564c6857e11dc50/shadows/framework/src/main/java/org/robolectric/shadows/ShadowMotionEvent.java/#L386-L405	2	86	1216
2750	{ "message": "YES I found bad smells", "detected_bad_smells": [ { "1": "Blob" }, { "2": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String getLoggerLevel(String loggerName) { String result = null; /*[IF Sidecar19-SE]*/ try { Object logger = getLoggerFromName(loggerName); /*[ELSE] Logger logger = LogManager.getLogManager().getLogger(loggerName); /*[ENDIF]*/ if (logger != null) { // The named Logger exists. Now attempt to obtain its log level. /*[IF Sidecar19-SE]*/ Object level = logger_getLevel.invoke(logger); /*[ELSE] Level level = logger.getLevel(); /*[ENDIF]*/ if (level != null) { /*[IF Sidecar19-SE]*/ result = (String)level_getName.invoke(level); /*[ELSE] result = level.getName(); /*[ENDIF]*/ } else { // A null return from getLevel() means that the Logger // is inheriting its log level from an ancestor. Return an // empty string to the caller. result = ""; //$NON-NLS-1$ } } /*[IF Sidecar19-SE]*/ } catch (Exception e) { throw handleError(e); } /*[ENDIF]*/ return result; }	long method	1: blob, 2: long method	t	t	t	1: blob		0	818	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/jcl/src/java.management/share/classes/com/ibm/java/lang/management/internal/LoggingMXBeanImpl.java/#L148-L186	1	2750	818
900	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Complex code 5. Multiple method calls within loops 6. Overly complex conditional statements 7. Multiple try-catch blocks with similar structure 8. Unclear variable names 9. Code repetition 10. Inconsistent formatting 11. Comments that do not add value to the code.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void refreshInternal(Collection objs, OpCallbacks call) { if (objs == null || objs.isEmpty()) return; List exceps = null; try { // collect instances that need a refresh Collection load = null; StateManagerImpl sm; Object obj; for (Iterator itr = objs.iterator(); itr.hasNext();) { obj = itr.next(); if (obj == null) continue; try { sm = getStateManagerImpl(obj, true); if ((processArgument(OpCallbacks.OP_REFRESH, obj, sm, call) & OpCallbacks.ACT_RUN) == 0) continue; if (sm != null) { if (sm.isDetached()) throw newDetachedException(obj, "refresh"); else if (sm.beforeRefresh(true)) { if (load == null) load = new ArrayList<>(objs.size()); load.add(sm); } int level = _fc.getReadLockLevel(); int timeout = _fc.getLockTimeout(); _lm.refreshLock(sm, level, timeout, null); sm.readLocked(level, level); } else if (assertPersistenceCapable(obj).pcIsDetached() == Boolean.TRUE) throw newDetachedException(obj, "refresh"); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } // refresh all if (load != null) { Collection failed = _store.loadAll(load, null, StoreManager.FORCE_LOAD_REFRESH, _fc, null); if (failed != null && !failed.isEmpty()) exceps = add(exceps, newObjectNotFoundException(failed)); // perform post-refresh transitions and make sure all fetch // group fields are loaded for (Iterator itr = load.iterator(); itr.hasNext();) { sm = (StateManagerImpl) itr.next(); if (failed != null && failed.contains(sm.getId())) continue; try { sm.afterRefresh(); sm.load(_fc, StateManagerImpl.LOAD_FGS, null, null, false); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } // now invoke postRefresh on all the instances for (Iterator itr = objs.iterator(); itr.hasNext();) { try { sm = getStateManagerImpl(itr.next(), true); if (sm != null && !sm.isDetached()) fireLifecycleEvent(sm.getManagedInstance(), null, sm.getMetaData(), LifecycleEvent.AFTER_REFRESH); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } catch (OpenJPAException ke) { throw ke; } catch (RuntimeException re) { throw new GeneralException(re); } throwNestedExceptions(exceps, false); }	long method	Long method2 Feature envy3 Duplicate code4 Complex code5 Multiple method calls within loops6 Overly complex conditional statements7 Multiple try-catch blocks with similar structure8 Unclear variable names9 Code repetition	t	f	t			0	8153	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-kernel/src/main/java/org/apache/openjpa/kernel/BrokerImpl.java/#L3172-L3253	2	900	8153
1999	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Check public void checkNoForwardReferences(XExpression fieldInitializer) { JvmIdentifiableElement container = logicalContainerProvider.getLogicalContainer(fieldInitializer); if (container instanceof JvmField) { JvmField field = (JvmField) container; boolean staticField = field.isStatic(); JvmDeclaredType declaredType = field.getDeclaringType(); if (declaredType == null) { return; } Collection illegalFields = Sets.newHashSet(); for(int i = declaredType.getMembers().size() - 1; i>=0; i--) { JvmMember member = declaredType.getMembers().get(i); if (member instanceof JvmField) { if (((JvmField) member).isStatic() == staticField) { illegalFields.add((JvmField) member); } } if (member == field) break; } TreeIterator iterator = EcoreUtil2.eAll(fieldInitializer); while(iterator.hasNext()) { EObject object = iterator.next(); if (object instanceof XFeatureCall) { JvmIdentifiableElement feature = ((XFeatureCall) object).getFeature(); if (illegalFields.contains(((XFeatureCall) object).getFeature())) { error("Cannot reference the field '" + feature.getSimpleName() + "' before it is defined", object, null, INSIGNIFICANT_INDEX, ILLEGAL_FORWARD_REFERENCE); } } else if (isLocalClassSemantics(object)) { iterator.prune(); } } } }	long method	long method, feature envy	t	t	t	feature envy		0	12705	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src/org/eclipse/xtext/xbase/validation/XbaseValidator.java/#L1028-L1063	1	1999	12705
908	YES I found bad smells. The bad smells are: Feature envy, Long method, Magic numbers, Duplicate code, Inconsistent formatting, Primitive obsession, Data clumps, Cyclic complexity, and Too many return statements.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	Feature envy, Long method, Magic numbers, Duplicate code, Inconsistent formatting, Primitive obsession, Data clumps, Cyclic complexity, and Too many return statements	t	f	t	Feature envy, Magic numbers, Duplicate code, Inconsistent formatting, Primitive obsession, Data clumps, Cyclic complexity, and Too many return statements.		0	8202	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	2	908	8202
1836	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static boolean handleAspectAnnotation(RuntimeAnnos runtimeAnnotations, AjAttributeStruct struct) { AnnotationGen aspect = getAnnotation(runtimeAnnotations, AjcMemberMaker.ASPECT_ANNOTATION); if (aspect != null) { // semantic check for inheritance (only one level up) boolean extendsAspect = false; if (!"java.lang.Object".equals(struct.enclosingType.getSuperclass().getName())) { if (!struct.enclosingType.getSuperclass().isAbstract() && struct.enclosingType.getSuperclass().isAspect()) { reportError("cannot extend a concrete aspect", struct); return false; } extendsAspect = struct.enclosingType.getSuperclass().isAspect(); } NameValuePair aspectPerClause = getAnnotationElement(aspect, VALUE); final PerClause perClause; if (aspectPerClause == null) { // empty value means singleton unless inherited if (!extendsAspect) { perClause = new PerSingleton(); } else { perClause = new PerFromSuper(struct.enclosingType.getSuperclass().getPerClause().getKind()); } } else { String perX = aspectPerClause.getValue().stringifyValue(); if (perX == null || perX.length() <= 0) { perClause = new PerSingleton(); } else { perClause = parsePerClausePointcut(perX, struct); } } if (perClause == null) { // could not parse it, ignore the aspect return false; } else { perClause.setLocation(struct.context, -1, -1);// struct.context.getOffset(), // struct.context.getOffset()+1);//FIXME // AVASM // Not setting version here // struct.ajAttributes.add(new AjAttribute.WeaverVersionInfo()); AjAttribute.Aspect aspectAttribute = new AjAttribute.Aspect(perClause); struct.ajAttributes.add(aspectAttribute); FormalBinding[] bindings = new org.aspectj.weaver.patterns.FormalBinding[0]; final IScope binding; binding = new BindingScope(struct.enclosingType, struct.context, bindings); // // we can't resolve here since the perclause typically refers // to pointcuts // // defined in the aspect that we haven't told the // BcelObjectType about yet. // // perClause.resolve(binding); // so we prepare to do it later... aspectAttribute.setResolutionScope(binding); return true; } } return false; }	long method	Long Method	t	f	t			0	12140	https://github.com/eclipse/org.aspectj/blob/370f291c359cd159c5f3f0abd6e9e53e81234a07/weaver/src/main/java/org/aspectj/weaver/bcel/AtAjAttributes.java/#L526-L584	1	1836	12140
216	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings( "raw" ) private static void simpleGenericNameOf( StringBuilder sb, Type type ) { if( type instanceof Class ) { sb.append( ( (Class) type ).getSimpleName() ); } else if( type instanceof ParameterizedType ) { ParameterizedType pt = (ParameterizedType) type; simpleGenericNameOf( sb, pt.getRawType() ); sb.append( "<" ); boolean atLeastOne = false; for( Type typeArgument : pt.getActualTypeArguments() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } sb.append( ">" ); } else if( type instanceof GenericArrayType ) { GenericArrayType gat = (GenericArrayType) type; simpleGenericNameOf( sb, gat.getGenericComponentType() ); sb.append( "[]" ); } else if( type instanceof TypeVariable ) { TypeVariable tv = (TypeVariable) type; sb.append( tv.getName() ); } else if( type instanceof WildcardType ) { WildcardType wt = (WildcardType) type; sb.append( "? extends " ); boolean atLeastOne = false; for( Type typeArgument : wt.getUpperBounds() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } } else { throw new IllegalArgumentException( "Don't know how to deal with type:" + type ); } }	long method	long method	t	t	t			0	2343	https://github.com/apache/attic-polygene-java/blob/031beef870302a0bd01bd5895ce849e00f2d5d5b/core/api/src/main/java/org/apache/polygene/api/util/Classes.java/#L288-L342	1	216	2343
495	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Provider createProvider(URI remoteURI, ProviderFutureFactory futureFactory) throws Exception { CompositeData composite = URISupport.parseComposite(remoteURI); Map options = composite.getParameters(); Map filtered = PropertyUtil.filterProperties(options, FAILOVER_OPTION_PREFIX); Map nested = PropertyUtil.filterProperties(filtered, FAILOVER_NESTED_OPTION_PREFIX_ADDON); Map providerOptions = PropertyUtil.filterProperties(options, "provider."); // If we have been given a futures factory to use then we ignore any URI options indicating // what to create and just go with what we are given. if (futureFactory == null) { // Create a configured ProviderFutureFactory for use by the resulting AmqpProvider futureFactory = ProviderFutureFactory.create(providerOptions); if (!providerOptions.isEmpty()) { String msg = "" + " Not all Provider options could be applied during Failover Provider creation." + " Check the options are spelled correctly." + " Unused parameters=[" + providerOptions + "]." + " This provider instance cannot be started."; throw new IllegalArgumentException(msg); } } FailoverProvider provider = new FailoverProvider(composite.getComponents(), nested, futureFactory); Map unused = PropertyUtil.setProperties(provider, filtered); if (!unused.isEmpty()) { String msg = "" + " Not all options could be set on the Failover provider." + " Check the options are spelled correctly." + " Unused parameters=[" + unused + "]." + " This Provider cannot be started."; throw new IllegalArgumentException(msg); } return provider; }	long method	long method	t	t	t			0	5014	https://github.com/apache/qpid-jms/blob/59f62b111687072fad3302fb4c6f91a389b4c0e6/qpid-jms-client/src/main/java/org/apache/qpid/jms/provider/failover/FailoverProviderFactory.java/#L49-L85	1	495	5014
5570	YES I found bad smells The bad smells are: 1. Long method 2.Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void configureInputJobProperties(TableDesc tableDesc, Map jobProperties) { try { Map tableProperties = tableDesc.getJobProperties(); String jobInfoProperty = tableProperties.get(HCatConstants.HCAT_KEY_JOB_INFO); if (jobInfoProperty != null) { LinkedList inputJobInfos = (LinkedList) HCatUtil.deserialize( jobInfoProperty); if (inputJobInfos == null || inputJobInfos.isEmpty()) { throw new IOException("No InputJobInfo was set in job config"); } InputJobInfo inputJobInfo = inputJobInfos.getLast(); HCatTableInfo tableInfo = inputJobInfo.getTableInfo(); HCatSchema dataColumns = tableInfo.getDataColumns(); List dataFields = dataColumns.getFields(); StringBuilder columnNamesSb = new StringBuilder(); StringBuilder typeNamesSb = new StringBuilder(); for (HCatFieldSchema dataField : dataFields) { if (columnNamesSb.length() > 0) { columnNamesSb.append(","); typeNamesSb.append(":"); } columnNamesSb.append(dataField.getName()); typeNamesSb.append(dataField.getTypeString()); } jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS, columnNamesSb.toString()); jobProperties.put(IOConstants.SCHEMA_EVOLUTION_COLUMNS_TYPES, typeNamesSb.toString()); boolean isTransactionalTable = AcidUtils.isTablePropertyTransactional(tableProperties); AcidUtils.AcidOperationalProperties acidOperationalProperties = AcidUtils.getAcidOperationalProperties(tableProperties); AcidUtils.setAcidOperationalProperties( jobProperties, isTransactionalTable, acidOperationalProperties); } } catch (IOException e) { throw new IllegalStateException("Failed to set output path", e); } }	long method	Long method2Feature envy	t	f	t			0	8187	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/hcatalog/core/src/main/java/org/apache/hive/hcatalog/mapreduce/FosterStorageHandler.java/#L107-L150	1	5570	8187
643	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected SQLBuffer toBulkOperation(ClassMapping mapping, Select sel, JDBCStore store, Object[] params, Map updateParams) { SQLBuffer sql = new SQLBuffer(this); if (updateParams == null) { if (requiresTargetForDelete) { sql.append("DELETE "); SQLBuffer deleteTargets = getDeleteTargets(sel); sql.append(deleteTargets); sql.append(" FROM "); } else { sql.append("DELETE FROM "); } } else sql.append("UPDATE "); sel.addJoinClassConditions(); // if there is only a single table in the select, then we can // just issue a single DELETE FROM TABLE WHERE // statement; otherwise, since SQL doesn't allow deleting // from one of a multi-table select, we need to issue a subselect // like DELETE FROM TABLE WHERE EXISTS // (SELECT 1 FROM TABLE t0 WHERE t0.ID = TABLE.ID); also, some // databases do not allow aliases in delete statements, which // also causes us to use a subselect Collection selectedTables = getSelectTableAliases(sel); if (selectedTables.size() == 1 && supportsSubselect && allowsAliasInBulkClause) { SQLBuffer from; if (sel.getFromSelect() != null) from = getFromSelect(sel, false); else from = getFrom(sel, false); sql.append(from); appendUpdates(sel, store, sql, params, updateParams, allowsAliasInBulkClause); SQLBuffer where = sel.getWhere(); if (where != null && !where.isEmpty()) { sql.append(" WHERE "); sql.append(where); } return sql; } Table table = mapping.getTable(); String tableName = getFullName(table, false); // only use a subselect if the where is not empty; otherwise // an unqualified delete or update will work if (sel.getWhere() == null || sel.getWhere().isEmpty()) { sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); return sql; } // we need to use a subselect if we are to bulk delete where // the select includes multiple tables; if the database // doesn't support it, then we need to signal this by returning null if (!supportsSubselect || !supportsCorrelatedSubselect) return null; Column[] pks = mapping.getPrimaryKeyColumns(); sel.clearSelects(); sel.setDistinct(true); // if we have only a single PK, we can use a non-correlated // subquery (using an IN statement), which is much faster than // a correlated subquery (since a correlated subquery needs // to be executed once for each row in the table) if (pks.length == 1) { sel.select(pks[0]); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE "). append(pks[0]).append(" IN ("). append(sel.toSelect(false, null)).append(")"); } else { sel.clearSelects(); sel.setDistinct(false); // since the select is using a correlated subquery, we // only need to select a bogus virtual column sel.select("1", null); // add in the joins to the table Column[] cols = table.getPrimaryKey().getColumns(); SQLBuffer buf = new SQLBuffer(this); buf.append("("); for (int i = 0; i < cols.length; i++) { if (i > 0) buf.append(" AND "); // add in "t0.PK = MYTABLE.PK" buf.append(sel.getColumnAlias(cols[i])).append(" = "). append(table).append(catalogSeparator).append(cols[i]); } buf.append(")"); sel.where(buf, null); sql.append(tableName); appendUpdates(sel, store, sql, params, updateParams, false); sql.append(" WHERE EXISTS ("). append(sel.toSelect(false, null)).append(")"); } return sql; }	long method	long method	t	t	t			0	6354	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DBDictionary.java/#L2243-L2350	1	643	6354
1400	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Test public void writeRead() throws IOException { try (XSSFWorkbook workbook = XSSFTestDataSamples.openSampleWorkbook("WithVariousData.xlsx")) { XSSFSheet sheet1 = workbook.getSheetAt(0); XSSFSheet sheet2 = workbook.getSheetAt(1); assertTrue(sheet1.hasComments()); assertFalse(sheet2.hasComments()); // Change on comment on sheet 1, and add another into // sheet 2 Row r5 = sheet1.getRow(4); Comment cc5 = r5.getCell(2).getCellComment(); cc5.setAuthor("Apache POI"); cc5.setString(new XSSFRichTextString("Hello!")); Row r2s2 = sheet2.createRow(2); Cell c1r2s2 = r2s2.createCell(1); assertNull(c1r2s2.getCellComment()); Drawing dg = sheet2.createDrawingPatriarch(); Comment cc2 = dg.createCellComment(new XSSFClientAnchor()); cc2.setAuthor("Also POI"); cc2.setString(new XSSFRichTextString("A new comment")); c1r2s2.setCellComment(cc2); // Save, and re-load the file try (XSSFWorkbook workbookBack = XSSFTestDataSamples.writeOutAndReadBack(workbook)) { // Check we still have comments where we should do sheet1 = workbookBack.getSheetAt(0); sheet2 = workbookBack.getSheetAt(1); assertNotNull(sheet1.getRow(4).getCell(2).getCellComment()); assertNotNull(sheet1.getRow(6).getCell(2).getCellComment()); assertNotNull(sheet2.getRow(2).getCell(1).getCellComment()); // And check they still have the contents they should do assertEquals("Apache POI", sheet1.getRow(4).getCell(2).getCellComment().getAuthor()); assertEquals("Nick Burch", sheet1.getRow(6).getCell(2).getCellComment().getAuthor()); assertEquals("Also POI", sheet2.getRow(2).getCell(1).getCellComment().getAuthor()); assertEquals("Hello!", sheet1.getRow(4).getCell(2).getCellComment().getString().getString()); } } }	long method	long method	t	t	t			0	10859	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/ooxml/testcases/org/apache/poi/xssf/model/TestCommentsTable.java/#L128-L175	1	1400	10859
1348	YES, I found bad smells. the bad smells are: 1.Inappropriate naming, 2. Long method, 3. Feature envy, 4. Nested conditionals, 5. Mixed levels of abstraction, 6. Repeated code, 7. Data clumps, 8. Primitive obsession.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String getNamespaceURI(Node node) { if (node instanceof Document) { node = ((Document) node).getDocumentElement(); } Element element = (Element) node; String uri = element.getNamespaceURI(); if (uri == null) { String prefix = getPrefix(node); String qname = prefix == null ? "xmlns" : "xmlns:" + prefix; Node aNode = node; while (aNode != null) { if (aNode.getNodeType() == Node.ELEMENT_NODE) { Attr attr = ((Element) aNode).getAttributeNode(qname); if (attr != null) { uri = attr.getValue(); break; } } aNode = aNode.getParentNode(); } } return "".equals(uri) ? null : uri; }	long method	Inappropriate naming, 2 Long method, 3 Feature envy, 4 Nested conditionals, 5 Mixed levels of abstraction, 6 Repeated code, 7 Data clumps, 8 Primitive obsession	t	f	t	.Inappropriate naming, 3. Feature envy, 4. Nested conditionals, 5. Mixed levels of abstraction, 6. Repeated code, 7. Data clumps, 8. Primitive obsession.		0	10753	https://github.com/apache/commons-jxpath/blob/eff47ab8ca52fdbc91d1313cc224324465dd043e/src/main/java/org/apache/commons/jxpath/ri/model/dom/DOMNodePointer.java/#L672-L697	2	1348	10753
804	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean fetchNext() throws IgniteCheckedException { if (data == null) return false; try { if (!data.next()) { close(); return false; } if (res != null) { Value[] values = res.currentRow(); for (int c = 0; c < row.length; c++) { Value val = values[c]; if (val instanceof GridH2ValueCacheObject) { GridH2ValueCacheObject valCacheObj = (GridH2ValueCacheObject)values[c]; row[c] = valCacheObj.getObject(true); } else row[c] = val.getObject(); } } else { for (int c = 0; c < row.length; c++) row[c] = data.getObject(c + 1); } return true; } catch (SQLException e) { throw new IgniteSQLException(e); } }	long method	Long method 2 Feature envy	t	f	t			0	7620	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/H2ResultSetIterator.java/#L101-L137	2	804	7620
1239	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean equals(TListSentryPrivilegesRequest that) { if (that == null) return false; boolean this_present_protocol_version = true; boolean that_present_protocol_version = true; if (this_present_protocol_version || that_present_protocol_version) { if (!(this_present_protocol_version && that_present_protocol_version)) return false; if (this.protocol_version != that.protocol_version) return false; } boolean this_present_requestorUserName = true && this.isSetRequestorUserName(); boolean that_present_requestorUserName = true && that.isSetRequestorUserName(); if (this_present_requestorUserName || that_present_requestorUserName) { if (!(this_present_requestorUserName && that_present_requestorUserName)) return false; if (!this.requestorUserName.equals(that.requestorUserName)) return false; } boolean this_present_roleName = true && this.isSetRoleName(); boolean that_present_roleName = true && that.isSetRoleName(); if (this_present_roleName || that_present_roleName) { if (!(this_present_roleName && that_present_roleName)) return false; if (!this.roleName.equals(that.roleName)) return false; } boolean this_present_authorizableHierarchy = true && this.isSetAuthorizableHierarchy(); boolean that_present_authorizableHierarchy = true && that.isSetAuthorizableHierarchy(); if (this_present_authorizableHierarchy || that_present_authorizableHierarchy) { if (!(this_present_authorizableHierarchy && that_present_authorizableHierarchy)) return false; if (!this.authorizableHierarchy.equals(that.authorizableHierarchy)) return false; } return true; }	long method	Long method2 Feature envy	t	f	t			0	10404	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-provider/sentry-provider-db/src/gen/thrift/gen-javabean/org/apache/sentry/provider/db/service/thrift/TListSentryPrivilegesRequest.java/#L360-L401	2	1239	10404
2368	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void positionWriterAtCheckpoint() { writerChkptDK = new CheckpointDataKey(jobExecutionImpl.getJobInstance().getInstanceId(), step.getId(), CheckpointType.WRITER); CheckpointData writerData = persistenceManagerService.getCheckpointData(writerChkptDK); try { // check for data in backing store if (writerData != null) { byte[] writertoken = writerData.getRestartToken(); TCCLObjectInputStream writerOIS; try { writerProxy.open((Serializable) dataRepresentationService.toJavaRepresentation(writertoken)); } catch (Exception ex) { // is this what I should be throwing here? throw new BatchContainerServiceException("Cannot read the checkpoint data for [" + step.getId() + "]", ex); } } else { // no chkpt data exists in the backing store writerData = null; try { writerProxy.open(null); } catch (Exception ex) { throw new BatchContainerServiceException("Cannot open the step [" + step.getId() + "]", ex); } } } catch (ClassCastException e) { throw new IllegalStateException("Expected CheckpointData but found" + writerData); } }	long method	Long method2 Feature envy	t	f	t			0	14301	https://github.com/apache/incubator-batchee/blob/d4ad6b76d3013a7eb74fbe062aeac305215d6a36/jbatch/src/main/java/org/apache/batchee/container/impl/controller/chunk/ChunkStepController.java/#L1015-L1042	2	2368	14301
2053	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void testBug56655a() throws IOException { try (Workbook wb = _testDataProvider.createWorkbook()) { Sheet sheet = wb.createSheet(); setCellFormula(sheet, 0, 0, "B1*C1"); sheet.getRow(0).createCell(1).setCellValue("A"); setCellFormula(sheet, 1, 0, "B1*C1"); sheet.getRow(1).createCell(1).setCellValue("A"); setCellFormula(sheet, 0, 3, "SUMIFS(A:A,A:A,A2)"); wb.getCreationHelper().createFormulaEvaluator().evaluateAll(); assertEquals(CellType.ERROR, getCell(sheet, 0, 0).getCachedFormulaResultType()); assertEquals(FormulaError.VALUE.getCode(), getCell(sheet, 0, 0).getErrorCellValue()); assertEquals(CellType.ERROR, getCell(sheet, 1, 0).getCachedFormulaResultType()); assertEquals(FormulaError.VALUE.getCode(), getCell(sheet, 1, 0).getErrorCellValue()); assertEquals(CellType.ERROR, getCell(sheet, 0, 3).getCachedFormulaResultType()); assertEquals(FormulaError.VALUE.getCode(), getCell(sheet, 0, 3).getErrorCellValue()); } }	long method	Long method 2 Feature envy	t	f	t			0	12903	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/testcases/org/apache/poi/ss/usermodel/BaseTestFormulaEvaluator.java/#L551-L571	2	2053	12903
891	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void createButtonGroup( Group grpTop ) { btnAdd = new Button( grpTop, SWT.NONE ); { btnAdd.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Add" ) ); //$NON-NLS-1$ btnAdd.addSelectionListener( this ); } newMarkerEditor = new MarkerEditorComposite( grpTop, createMarker( ), getContext( ), getDefaultMarker( ) ); if ( markerTypeSet != null ) { newMarkerEditor.setSupportedMarkerTypes( markerTypeSet ); } if ( outlineText != null ) { newMarkerEditor.setOutlineText( outlineText ); } btnRemove = new Button( grpTop, SWT.NONE ); { btnRemove.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Remove" ) ); //$NON-NLS-1$ btnRemove.addSelectionListener( this ); } btnUp = new Button( grpTop, SWT.ARROW | SWT.UP ); { btnUp.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Up" ) ); //$NON-NLS-1$ btnUp.addSelectionListener( this ); } btnDown = new Button( grpTop, SWT.ARROW | SWT.DOWN ); { btnDown.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Down" ) ); //$NON-NLS-1$ btnDown.addSelectionListener( this ); } }	long method	Long method2 Feature envy	t	f	t			0	8095	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/wizard/format/popup/series/LineSeriesMarkerSheet.java/#L402-L440	2	891	8095
136	{ "message": "YES I found bad smells", "bad smells are": [ "Long method", "Duplicate code" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, FetchRuleKeyLogsRequest struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RULE_KEYS if (schemeField.type == org.apache.thrift.protocol.TType.LIST) { { org.apache.thrift.protocol.TList _list184 = iprot.readListBegin(); struct.ruleKeys = new java.util.ArrayList(_list184.size); java.lang.String _elem185; for (int _i186 = 0; _i186 < _list184.size; ++_i186) { _elem185 = iprot.readString(); struct.ruleKeys.add(_elem185); } iprot.readListEnd(); } struct.setRuleKeysIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // REPOSITORY if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.repository = iprot.readString(); struct.setRepositoryIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // SCHEDULE_TYPE if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.scheduleType = iprot.readString(); struct.setScheduleTypeIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // DISTRIBUTED_BUILD_MODE_ENABLED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.distributedBuildModeEnabled = iprot.readBool(); struct.setDistributedBuildModeEnabledIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); // check for required fields of primitive type, which can't be checked in the validate method struct.validate(); }	long method	long method, duplicate code	t	t	t	duplicate code		0	1673	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src-gen/com/facebook/buck/distributed/thrift/FetchRuleKeyLogsRequest.java/#L547-L608	2	136	1673
904	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static DimFilter negate(final DimFilter filter) { if (Filtration.matchEverything().equals(filter)) { return Filtration.matchNothing(); } else if (Filtration.matchNothing().equals(filter)) { return Filtration.matchEverything(); } else if (filter instanceof NotDimFilter) { return ((NotDimFilter) filter).getField(); } else if (filter instanceof BoundDimFilter) { final BoundDimFilter negated = Bounds.not((BoundDimFilter) filter); return negated != null ? negated : new NotDimFilter(filter); } else { return new NotDimFilter(filter); } }	long method	long method	t	t	t			0	8176	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/sql/src/main/java/org/apache/druid/sql/calcite/filtration/CombineAndSimplifyBounds.java/#L221-L235	1	904	8176
869	YES I found bad smells: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: final protected Node internalRemoveNamedItemNS(String namespaceURI, String name, boolean raiseEx) { CoreDocumentImpl ownerDocument = ownerNode.ownerDocument(); if (ownerDocument.errorChecking && isReadOnly()) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NO_MODIFICATION_ALLOWED_ERR", null); throw new DOMException(DOMException.NO_MODIFICATION_ALLOWED_ERR, msg); } int i = findNamePoint(namespaceURI, name); if (i < 0) { if (raiseEx) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NOT_FOUND_ERR", null); throw new DOMException(DOMException.NOT_FOUND_ERR, msg); } else { return null; } } AttrImpl n = (AttrImpl)nodes.get(i); if (n.isIdAttribute()) { ownerDocument.removeIdentifier(n.getValue()); } // If there's a default, add it instead String nodeName = n.getNodeName(); if (hasDefaults()) { NamedNodeMapImpl defaults = ((ElementImpl) ownerNode).getDefaultAttributes(); Node d; if (defaults != null && (d = defaults.getNamedItem(nodeName)) != null) { int j = findNamePoint(nodeName,0); if (j>=0 && findNamePoint(nodeName, j+1) < 0) { NodeImpl clone = (NodeImpl)d.cloneNode(true); clone.ownerNode = ownerNode; if (d.getLocalName() != null) { // we must rely on the name to find a default attribute // ("test:attr"), but while copying it from the DOCTYPE // we should not loose namespace URI that was assigned // to the attribute in the instance document. ((AttrNSImpl)clone).namespaceURI = namespaceURI; } clone.isOwned(true); clone.isSpecified(false); nodes.set(i, clone); if (clone.isIdAttribute()) { ownerDocument.putIdentifier(clone.getNodeValue(), (ElementImpl)ownerNode); } } else { nodes.remove(i); } } else { nodes.remove(i); } } else { nodes.remove(i); } // changed(true); // remove reference to owner n.ownerNode = ownerDocument; n.isOwned(false); // make sure it won't be mistaken with defaults in case it's // reused n.isSpecified(true); // update id table if needed n.isIdAttribute(false); // notify document ownerDocument.removedAttrNode(n, ownerNode, name); return n; } // internalRemoveNamedItemNS(String,String,boolean):Node	long method	Long method2 Feature envy	t	f	t			0	7948	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/dom/AttributeMap.java/#L391-L467	2	869	7948
276	YES I found bad smells the bad smells are: 1.Long method 2.Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void paintComponent(Graphics g) { XPStyle xp = XPStyle.getXP(); paintTitleBackground(g); String title = frame.getTitle(); if (title != null) { boolean isSelected = frame.isSelected(); Font oldFont = g.getFont(); Font newFont = (titleFont != null) ? titleFont : getFont(); g.setFont(newFont); // Center text vertically. FontMetrics fm = SwingUtilities2.getFontMetrics(frame, g, newFont); int baseline = (getHeight() + fm.getAscent() - fm.getLeading() - fm.getDescent()) / 2; Rectangle lastIconBounds = new Rectangle(0, 0, 0, 0); if (frame.isIconifiable()) { lastIconBounds = iconButton.getBounds(); } else if (frame.isMaximizable()) { lastIconBounds = maxButton.getBounds(); } else if (frame.isClosable()) { lastIconBounds = closeButton.getBounds(); } int titleX; int titleW; int gap = 2; if (WindowsGraphicsUtils.isLeftToRight(frame)) { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getWidth() - frame.getInsets().right; } titleX = systemLabel.getX() + systemLabel.getWidth() + gap; if (xp != null) { titleX += 2; } titleW = lastIconBounds.x - titleX - gap; } else { if (lastIconBounds.x == 0) { // There are no icons lastIconBounds.x = frame.getInsets().left; } titleW = SwingUtilities2.stringWidth(frame, fm, title); int minTitleX = lastIconBounds.x + lastIconBounds.width + gap; if (xp != null) { minTitleX += 2; } int availableWidth = systemLabel.getX() - gap - minTitleX; if (availableWidth > titleW) { titleX = systemLabel.getX() - gap - titleW; } else { titleX = minTitleX; titleW = availableWidth; } } title = getTitle(frame.getTitle(), fm, titleW); if (xp != null) { String shadowType = null; if (isSelected) { shadowType = xp.getString(this, Part.WP_CAPTION, State.ACTIVE, Prop.TEXTSHADOWTYPE); } if ("single".equalsIgnoreCase(shadowType)) { Point shadowOffset = xp.getPoint(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWOFFSET); Color shadowColor = xp.getColor(this, Part.WP_WINDOW, State.ACTIVE, Prop.TEXTSHADOWCOLOR, null); if (shadowOffset != null && shadowColor != null) { g.setColor(shadowColor); SwingUtilities2.drawString(frame, g, title, titleX + shadowOffset.x, baseline + shadowOffset.y); } } } g.setColor(isSelected ? selectedTextColor : notSelectedTextColor); SwingUtilities2.drawString(frame, g, title, titleX, baseline); g.setFont(oldFont); } }	long method	Long method 2Feature envy	t	f	t			0	2964	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/windows/classes/com/sun/java/swing/plaf/windows/WindowsInternalFrameTitlePane.java/#L125-L205	2	276	2964
1739	YES I found bad smells the bad smells are: 1. Feature envy 2. Long method 3. Duplicate code - the same code is repeated multiple times within the method. 4. Magic numbers - the values 1, 11, and 0 are used without explanation. 5. Poor naming - variable names such as "locales" and "slash" are vague and do not clearly explain their purpose or contents.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private synchronized Map getResourceBundleEntries(final Bundle bundle) { String file = (String) bundle.getHeaders().get(Constants.BUNDLE_LOCALIZATION); if (file == null) { file = Constants.BUNDLE_LOCALIZATION_DEFAULT_BASENAME; } // remove leading slash if (file.startsWith("/")) //$NON-NLS-1$ { file = file.substring(1); } // split path and base name int slash = file.lastIndexOf('/'); String fileName = file.substring(slash + 1); String path = (slash <= 0) ? "/" : file.substring(0, slash); //$NON-NLS-1$ HashMap resourceBundleEntries = new HashMap(); Enumeration locales = bundle.findEntries(path, fileName + "*.properties", false); //$NON-NLS-1$ if (locales != null) { while (locales.hasMoreElements()) { URL entry = (URL) locales.nextElement(); // calculate the key String entryPath = entry.getPath(); final int start = entryPath.lastIndexOf('/') + 1 + fileName.length(); // path, // slash // and // base // name final int end = entryPath.length() - 11; // .properties suffix entryPath = entryPath.substring(start, end); // the default language is "name.properties" thus the entry // path is empty and must default to "_"+DEFAULT_LOCALE if (entryPath.length() == 0) { entryPath = "_" + DEFAULT_LOCALE; //$NON-NLS-1$ } // only add this entry, if the "language" is not provided // by the main bundle or an earlier bound fragment if (!resourceBundleEntries.containsKey(entryPath)) { resourceBundleEntries.put(entryPath, entry); } } } return resourceBundleEntries; }	long method	Feature envy2 Long method3 Duplicate code - the same code is repeated multiple times within the method 4 Magic numbers - the values	t	f	t			0	11836	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/inventory/src/main/java/org/apache/felix/inventory/impl/webconsole/ResourceBundleManager.java/#L134-L189	2	1739	11836
1397	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void reloadExpectedTimeAndConfig(SLACalcStatus slaCalc) throws JPAExecutorException { SLARegistrationBean regBean = SLARegistrationQueryExecutor.getInstance().get( SLARegQuery.GET_SLA_EXPECTED_VALUE_CONFIG, slaCalc.getId()); if (regBean.getExpectedDuration() > 0) { slaCalc.getSLARegistrationBean().setExpectedDuration(regBean.getExpectedDuration()); } if (regBean.getExpectedEnd() != null) { slaCalc.getSLARegistrationBean().setExpectedEnd(regBean.getExpectedEnd()); } if (regBean.getExpectedStart() != null) { slaCalc.getSLARegistrationBean().setExpectedStart(regBean.getExpectedStart()); } if (regBean.getSLAConfigMap().containsKey(OozieClient.SLA_DISABLE_ALERT)) { slaCalc.getSLARegistrationBean().addToSLAConfigMap(OozieClient.SLA_DISABLE_ALERT, regBean.getSLAConfigMap().get(OozieClient.SLA_DISABLE_ALERT)); } if (regBean.getNominalTime() != null) { slaCalc.getSLARegistrationBean().setNominalTime(regBean.getNominalTime()); } }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	10854	https://github.com/apache/oozie/blob/491e73ee9f941dfb25dfe92121fb033295ef42ee/core/src/main/java/org/apache/oozie/sla/SLACalculatorMemory.java/#L540-L560	1	1397	10854
1103	{"response": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static void copyDirectory(final File srcDir, final File destDir) throws IOException { if (srcDir == null) { throw new NullPointerException("Source must not be null"); } if (destDir == null) { throw new NullPointerException("Destination must not be null"); } if (!srcDir.exists()) { throw new FileNotFoundException("Source '" + srcDir + "' does not exist"); } if (!srcDir.isDirectory()) { throw new IOException("Source '" + srcDir + "' exists but is not a directory"); } if (srcDir.getCanonicalPath().equals(destDir.getCanonicalPath())) { throw new IOException("Source '" + srcDir + "' and destination '" + destDir + "' are the same"); } // Cater for destination being directory within the source directory (see IO-141) List exclusionList = null; if (destDir.getCanonicalPath().startsWith(srcDir.getCanonicalPath())) { final File[] srcFiles = srcDir.listFiles(); if (srcFiles != null && srcFiles.length > 0) { exclusionList = new ArrayList<>(srcFiles.length); for (final File srcFile : srcFiles) { final File copiedFile = new File(destDir, srcFile.getName()); exclusionList.add(copiedFile.getCanonicalPath()); } } } doCopyDirectory(srcDir, destDir, exclusionList); }	long method	1. long method	t	t	t			0	9847	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-loader/src/main/java/org/apache/openejb/loader/IO.java/#L193-L223	1	1103	9847
2915	YES I found bad smells the bad smells are: 1. Long method 2. Repeated code (saveState) 3. Feature envy (multiple method calls on different objects) 4. Inefficient use of flag variables 5. Unused code (clearAttributes() not currently necessary)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public boolean incrementToken() throws IOException { for(;;) { if (!remainingTokens.isEmpty()) { // clearAttributes(); // not currently necessary restoreState(remainingTokens.removeFirst()); return true; } if (!input.incrementToken()) return false; int len = termAtt.length(); if (len==0) return true; // pass through zero length terms int firstAlternativeIncrement = inject ? 0 : posAtt.getPositionIncrement(); String v = termAtt.toString(); String primaryPhoneticValue = encoder.doubleMetaphone(v); String alternatePhoneticValue = encoder.doubleMetaphone(v, true); // a flag to lazily save state if needed... this avoids a save/restore when only // one token will be generated. boolean saveState=inject; if (primaryPhoneticValue!=null && primaryPhoneticValue.length() > 0 && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); } posAtt.setPositionIncrement( firstAlternativeIncrement ); firstAlternativeIncrement = 0; termAtt.setEmpty().append(primaryPhoneticValue); saveState = true; } if (alternatePhoneticValue!=null && alternatePhoneticValue.length() > 0 && !alternatePhoneticValue.equals(primaryPhoneticValue) && !primaryPhoneticValue.equals(v)) { if (saveState) { remainingTokens.addLast(captureState()); saveState = false; } posAtt.setPositionIncrement( firstAlternativeIncrement ); termAtt.setEmpty().append(alternatePhoneticValue); saveState = true; } // Just one token to return, so no need to capture/restore // any state, simply return it. if (remainingTokens.isEmpty()) { return true; } if (saveState) { remainingTokens.addLast(captureState()); } } }	long method	Long method2 Repeated code (saveState)3 Feature envy (multiple method calls on different objects)4 Inefficient use of flag variables5 Unused code (clearAttributes() not currently necessary)	t	f	t			0	2253	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/phonetic/src/java/org/apache/lucene/analysis/phonetic/DoubleMetaphoneFilter.java/#L51-L108	2	2915	2253
993	{"message": "YES I found bad smells", "bad_smells_list": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int compare(PropertyDescriptor d1, PropertyDescriptor d2) { String g1 = group(d1); String g2 = group(d2); Integer go1 = groupOrder(g1); Integer go2 = groupOrder(g2); int result = go1.compareTo(go2); if (result != 0) { return result; } result = g1.compareTo(g2); if (result != 0) { return result; } Integer po1 = propertyOrder(d1); Integer po2 = propertyOrder(d2); result = po1.compareTo(po2); if (result != 0) { return result; } return d1.getName().compareTo(d2.getName()); }	long method	long method	t	t	t			0	9070	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/core/org/apache/jmeter/testbeans/gui/GenericTestBeanCustomizer.java/#L674-L699	1	993	9070
2666	YES, I found bad smellsthe bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static int reconfigureNetworking() { // This uses values from the property settings if (Sage.getBoolean(NET_CONFIG_WIRED, true)) { // Bring down the wireless interface if it's there bringDownWireless(); setupNetworking(Sage.get("linux/wired_network_port", "eth0")); } else { // Bring down the wired interface if it's there if (Sage.getBoolean("linux/disable_wired_when_wireless_is_enabled", false)) bringDownWired(); // Be sure the wired interface is loaded (it may need to be before it is configured) IOUtils.exec2("ifconfig " + Sage.get("linux/wireless_network_port", "eth1") + " up"); // Setup the wireless networking properties before we try to connect to the network or it won't work IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " essid " + Sage.get(NET_CONFIG_SSID, "any")); String crypto = Sage.get(NET_CONFIG_ENCRYPTION, "WPA"); if ("None".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key off"); } else { // Check if the key is all hex String key = Sage.get(NET_CONFIG_ENCRYPTION_KEY, ""); boolean hexKey = true; for (int i = 0; i < key.length(); i++) { if (Character.digit(key.charAt(i), 16) < 0) { hexKey = false; break; } } if ("WEP".equals(crypto)) { IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key on"); if (hexKey) IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key " + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); else IOUtils.exec2("iwconfig " + Sage.get("linux/wireless_network_port", "eth1") + " key s:" + Sage.get(NET_CONFIG_ENCRYPTION_KEY, "")); } else // WPA { // NOT FINISHED YET, we'll need to setup a configuration file for wpa_supplicant and then run it } } setupNetworking(Sage.get("linux/wireless_network_port", "eth1")); } return 0; }	long method	Long method	t	f	t			0	15203	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/LinuxUtils.java/#L51-L108	2	2666	15203
2050	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int hashCode() { final int prime = 31; int result = 1; result = prime * result + (this.alias == null ? 0 : this.alias.hashCode()); result = prime * result + (this.ciphers == null ? 0 : this.ciphers.hashCode()); result = prime * result + (this.hostnameVerification ? 1231 : 1237); result = prime * result + (this.keyStore == null ? 0 : this.keyStore.hashCode()); result = prime * result + Arrays.hashCode(this.keyStorePassword); result = prime * result + (this.protocol == null ? 0 : this.protocol.hashCode()); result = prime * result + (this.sslManagerOpts == null ? 0 : this.sslManagerOpts.hashCode()); result = prime * result + (this.trustStore == null ? 0 : this.trustStore.hashCode()); return result; }	long method	Long method2 Feature envy	t	f	t			0	12885	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.core/src/main/java/org/eclipse/kura/core/ssl/ConnectionSslOptions.java/#L107-L120	2	2050	12885
992	{ "output": "YES I found bad smells. the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void writeJSON( final Writer pw, final ServiceReference service, final boolean fullDetails, final Locale locale, final String filter ) throws IOException { final ServiceReference[] allServices = this.getServices(filter); final String statusLine = getStatusLine( allServices ); final ServiceReference[] services = ( service != null ) ? new ServiceReference[] { service } : allServices; final JSONWriter jw = new JSONWriter( pw ); jw.object(); jw.key( "status" ); jw.value( statusLine ); jw.key( "serviceCount" ); jw.value( allServices.length ); jw.key( "data" ); jw.array(); for ( int i = 0; i < services.length; i++ ) { serviceInfo( jw, services[i], fullDetails || service != null, locale ); } jw.endArray(); jw.endObject(); }	long method	1. long method	t	t	t			0	9038	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/webconsole/src/main/java/org/apache/felix/webconsole/internal/core/ServicesServlet.java/#L342-L374	1	992	9038
1026	YES I found bad smells The bad smells are: 1. Long method 2. Duplicate code 3. Feature envy (multiple occurrences of using the same object's methods/properties)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void writeFinalRule(Writer writer, boolean isDst, AnnualTimeZoneRule rule, int fromRawOffset, int fromDSTSavings, long startTime) throws IOException{ DateTimeRule dtrule = toWallTimeRule(rule.getRule(), fromRawOffset, fromDSTSavings); // If the rule's mills in a day is out of range, adjust start time. // Olson tzdata supports 24:00 of a day, but VTIMEZONE does not. // See ticket#7008/#7518 int timeInDay = dtrule.getRuleMillisInDay(); if (timeInDay < 0) { startTime = startTime + (0 - timeInDay); } else if (timeInDay >= Grego.MILLIS_PER_DAY) { startTime = startTime - (timeInDay - (Grego.MILLIS_PER_DAY - 1)); } int toOffset = rule.getRawOffset() + rule.getDSTSavings(); switch (dtrule.getDateRuleType()) { case DateTimeRule.DOM: writeZonePropsByDOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), startTime, MAX_TIME); break; case DateTimeRule.DOW: writeZonePropsByDOW(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleWeekInMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_GEQ_DOM: writeZonePropsByDOW_GEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_LEQ_DOM: writeZonePropsByDOW_LEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; } }	long method	Long method2 Duplicate code3 Feature envy (multiple occurrences of using the same object's methods/properties)	t	f	t			0	9361	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/external/icu/android_icu4j/src/main/java/android/icu/util/VTimeZone.java/#L1661-L1695	2	1026	9361
3381	YES I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String shortenDbName(String dbName, int desiredLength) { StringBuilder dbBuf = new StringBuilder(dbName); if (dbBuf.length() > desiredLength) { // remove one vowel at a time, starting at beginning for (int i = dbBuf.length() - 1; i > 0; i--) { // don't remove vowels that are at the beginning of the string (taken care of by the i > 0) or right after an underscore if (dbBuf.charAt(i - 1) == '_') { continue; } char curChar = dbBuf.charAt(i); if (vowelBag.indexOf(curChar) > 0) { dbBuf.deleteCharAt(i); } } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { boolean removedChars = false; int usIndex = dbBuf.lastIndexOf("_"); while (usIndex > 0 && dbBuf.length() > desiredLength) { // if this is the first word in the group, don't pull letters off unless it is 4 letters or more int prevUsIndex = dbBuf.lastIndexOf("_", usIndex - 1); if (prevUsIndex < 0 && usIndex < 4) { break; } // don't remove characters to reduce the size two less than three characters between underscores if (prevUsIndex >= 0 && (usIndex - prevUsIndex) <= 4) { usIndex = prevUsIndex; continue; } // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(usIndex - 2); removedChars = true; if (usIndex > 2) { usIndex = dbBuf.lastIndexOf("_", usIndex - 2); } else { break; } } // now delete the char at the end of the string if necessary if (dbBuf.length() > desiredLength) { int removeIndex = dbBuf.length() - 1; int prevRemoveIndex = dbBuf.lastIndexOf("_", removeIndex - 1); // don't remove characters to reduce the size two less than two characters between underscores if (prevRemoveIndex < 0 || (removeIndex - prevRemoveIndex) >= 3) { // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(removeIndex - 1); removedChars = true; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); removedChars = true; } // if we didn't remove anything break out to avoid an infinite loop if (!removedChars) { break; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { // still not short enough, get more aggressive // don't remove the first segment, just remove the second over and over until we are short enough int firstUs = dbBuf.indexOf("_"); if (firstUs > 0) { int nextUs = dbBuf.indexOf("_", firstUs + 1); if (nextUs > 0) { //Debug.logInfo("couldn't shorten enough normally, removing second segment from " + dbBuf, module); dbBuf.delete(firstUs, nextUs); } } } //Debug.logInfo("Shortened " + dbName + " to " + dbBuf.toString(), module); return dbBuf.toString(); }	long method	Long method2 Feature envy	t	f	t			0	6543	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/entity/src/main/java/org/apache/ofbiz/entity/model/ModelUtil.java/#L155-L248	2	3381	6543
2361	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings( "raw" ) private static void simpleGenericNameOf( StringBuilder sb, Type type ) { if( type instanceof Class ) { sb.append( ( (Class) type ).getSimpleName() ); } else if( type instanceof ParameterizedType ) { ParameterizedType pt = (ParameterizedType) type; simpleGenericNameOf( sb, pt.getRawType() ); sb.append( "<" ); boolean atLeastOne = false; for( Type typeArgument : pt.getActualTypeArguments() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } sb.append( ">" ); } else if( type instanceof GenericArrayType ) { GenericArrayType gat = (GenericArrayType) type; simpleGenericNameOf( sb, gat.getGenericComponentType() ); sb.append( "[]" ); } else if( type instanceof TypeVariable ) { TypeVariable tv = (TypeVariable) type; sb.append( tv.getName() ); } else if( type instanceof WildcardType ) { WildcardType wt = (WildcardType) type; sb.append( "? extends " ); boolean atLeastOne = false; for( Type typeArgument : wt.getUpperBounds() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } } else { throw new IllegalArgumentException( "Don't know how to deal with type:" + type ); } }	long method	Long method	t	f	t			0	14251	https://github.com/apache/attic-polygene-java/blob/031beef870302a0bd01bd5895ce849e00f2d5d5b/core/api/src/main/java/org/apache/polygene/api/util/Classes.java/#L288-L342	2	2361	14251
2131	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void addDataAccessNodes(UaFolderNode rootNode) { // DataAccess folder UaFolderNode dataAccessFolder = new UaFolderNode( getNodeContext(), newNodeId("HelloWorld/DataAccess"), newQualifiedName("DataAccess"), LocalizedText.english("DataAccess") ); getNodeManager().addNode(dataAccessFolder); rootNode.addOrganizes(dataAccessFolder); // AnalogItemType node try { AnalogItemNode node = (AnalogItemNode) getNodeFactory().createNode( newNodeId("HelloWorld/DataAccess/AnalogValue"), Identifiers.AnalogItemType, true ); node.setBrowseName(newQualifiedName("AnalogValue")); node.setDisplayName(LocalizedText.english("AnalogValue")); node.setDataType(Identifiers.Double); node.setValue(new DataValue(new Variant(3.14d))); node.setEURange(new Range(0.0, 100.0)); getNodeManager().addNode(node); dataAccessFolder.addOrganizes(node); } catch (UaException e) { logger.error("Error creating AnalogItemType instance: {}", e.getMessage(), e); } }	long method	long method, data class	t	t	t	data class		0	13232	https://github.com/eclipse/milo/blob/e752e540d31eb3c226e6e79dd197c54d7d254685/milo-examples/server-examples/src/main/java/org/eclipse/milo/examples/server/ExampleNamespace.java/#L503-L535	1	2131	13232
258	{ "response": "YES, I found bad smells", "detected_bad_smells": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: int width = (int) Math.ceil(2 / sketch.getRelativeError()); int depth = (int) Math.ceil(-Math.log(1 - sketch.getConfidence()) / Math.log(2)); return new AutoValue_SketchFrequencies_Sketch<>(depth, width, sketch); }	long method	long method, feature envy	t	t	t	feature envy		0	2807	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/extensions/sketching/src/main/java/org/apache/beam/sdk/extensions/sketching/SketchFrequencies.java/#L464-L468	2	258	2807
1034	{ "response": "YES I found bad smells", "bad_smells": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	blob, long method	t	t	t	blob		0	9396	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.testlanguages.ide/src-gen/org/eclipse/xtext/testlanguages/backtracking/ide/contentassist/antlr/internal/InternalExBeeLangTestLanguageParser.java/#L7286-L7317	1	1034	9396
940	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void doDefensiveChecks(DistribPhase phase) { boolean isReplayOrPeersync = (updateCommand.getFlags() & (UpdateCommand.REPLAY | UpdateCommand.PEER_SYNC)) != 0; if (isReplayOrPeersync) return; String from = req.getParams().get(DISTRIB_FROM); ClusterState clusterState = zkController.getClusterState(); DocCollection docCollection = clusterState.getCollection(collection); Slice mySlice = docCollection.getSlice(cloudDesc.getShardId()); boolean localIsLeader = cloudDesc.isLeader(); if (DistribPhase.FROMLEADER == phase && localIsLeader && from != null) { // from will be null on log replay String fromShard = req.getParams().get(DISTRIB_FROM_PARENT); if (fromShard != null) { if (mySlice.getState() == Slice.State.ACTIVE) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but we are in active state"); } // shard splitting case -- check ranges to see if we are a sub-shard Slice fromSlice = docCollection.getSlice(fromShard); DocRouter.Range parentRange = fromSlice.getRange(); if (parentRange == null) parentRange = new DocRouter.Range(Integer.MIN_VALUE, Integer.MAX_VALUE); if (mySlice.getRange() != null && !mySlice.getRange().isSubsetOf(parentRange)) { throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from parent shard leader but parent hash range is not superset of my range"); } } else { String fromCollection = req.getParams().get(DISTRIB_FROM_COLLECTION); // is it because of a routing rule? if (fromCollection == null) { log.error("Request says it is coming from leader, but we are the leader: " + req.getParamString()); SolrException solrExc = new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "Request says it is coming from leader, but we are the leader"); solrExc.setMetadata("cause", "LeaderChanged"); throw solrExc; } } } int count = 0; while (((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) && count < 5) { count++; // re-getting localIsLeader since we published to ZK first before setting localIsLeader value localIsLeader = cloudDesc.isLeader(); try { Thread.sleep(500); } catch (InterruptedException e) { Thread.currentThread().interrupt(); } } if ((isLeader && !localIsLeader) || (isSubShardLeader && !localIsLeader)) { log.error("ClusterState says we are the leader, but locally we don't think so"); throw new SolrException(SolrException.ErrorCode.SERVICE_UNAVAILABLE, "ClusterState says we are the leader (" + zkController.getBaseUrl() + "/" + req.getCore().getName() + "), but locally we don't think so. Request came from " + from); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	8460	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/update/processor/DistributedZkUpdateProcessor.java/#L953-L1007	2	940	8460
922	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void processAsSubstitutableExport(boolean isFragment, Requirement requirement, List capabilities) { String namespace = requirement.getNamespace(); if (!PackageNamespace.PACKAGE_NAMESPACE.equals(namespace)) { return; } Resource resource = requirement.getResource(); Wiring wiring = wirings.get(resource); if (isFragment) { List fragmentWires = wiring.getRequiredResourceWires(HostNamespace.HOST_NAMESPACE); for (Wire fragmentWire : fragmentWires) { Resource host = fragmentWire.getProvider(); processResourceCapabilities( wirings.get(host).getResourceCapabilities(namespace), requirement, capabilities); } } else { List resourceCapabilities = wiring.getResourceCapabilities(namespace); processResourceCapabilities(resourceCapabilities, requirement, capabilities); } }	long method	long method	t	t	t			0	8279	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/subsystem/subsystem-core/src/main/java/org/apache/aries/subsystem/core/internal/ResolveContext.java/#L158-L179	1	922	8279
780	YES I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public ClientListenerResponse doHandle(OdbcRequest req) { if (!busyLock.enterBusy()) return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Failed to handle ODBC request because node is stopping: " + req); if (actx != null) AuthorizationContext.context(actx); try { switch (req.command()) { case QRY_EXEC: return executeQuery((OdbcQueryExecuteRequest)req); case QRY_EXEC_BATCH: return executeBatchQuery((OdbcQueryExecuteBatchRequest)req); case STREAMING_BATCH: return dispatchBatchOrdered((OdbcStreamingBatchRequest)req); case QRY_FETCH: return fetchQuery((OdbcQueryFetchRequest)req); case QRY_CLOSE: return closeQuery((OdbcQueryCloseRequest)req); case META_COLS: return getColumnsMeta((OdbcQueryGetColumnsMetaRequest)req); case META_TBLS: return getTablesMeta((OdbcQueryGetTablesMetaRequest)req); case META_PARAMS: return getParamsMeta((OdbcQueryGetParamsMetaRequest)req); case MORE_RESULTS: return moreResults((OdbcQueryMoreResultsRequest)req); } return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Unsupported ODBC request: " + req); } finally { AuthorizationContext.clear(); busyLock.leaveBusy(); } }	long method	Long method2 Feature envy	t	f	t			0	7455	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/odbc/odbc/OdbcRequestHandler.java/#L221-L266	2	780	7455
99	{"message":"YES I found bad smells","bad smells are":["1.Long method","2.Complex method","3.Feature envy"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private String formatQueryString(final String projectUri, final String[] args) { final StringBuffer result = new StringBuffer(); if (projectUri != null) { if (isCompatibleMode) { result.append("puri="); //$NON-NLS-1$ result.append(URLEncode.encode(projectUri.toString())); } else { final ArtifactID artifactID = new ArtifactID(projectUri); result.append("pguid="); //$NON-NLS-1$ result.append(URLEncode.encode(artifactID.getToolSpecificID())); } } else if (!isCompatibleMode) { result.append("pcguid="); //$NON-NLS-1$ result.append(URLEncode.encode(collectionId.toString())); } for (int i = 0; i < args.length - 1; i += 2) { final String name = args[i]; final String value = args[i + 1]; if (name != null) { if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(name)); } if (value != null) { if (name != null) { result.append('='); } else if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(value)); } } return result.toString(); }	long method	1.long method, 2.complex method, 3.feature envy	t	t	t	2.complex method, 3.feature envy		0	1298	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/util/TSWAHyperlinkBuilder.java/#L518-L559	2	99	1298
1443	{ "message": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void writeJSON( final Writer pw, final ServiceReference service, final boolean fullDetails, final Locale locale, final String filter ) throws IOException { final ServiceReference[] allServices = this.getServices(filter); final String statusLine = getStatusLine( allServices ); final ServiceReference[] services = ( service != null ) ? new ServiceReference[] { service } : allServices; final JSONWriter jw = new JSONWriter( pw ); jw.object(); jw.key( "status" ); jw.value( statusLine ); jw.key( "serviceCount" ); jw.value( allServices.length ); jw.key( "data" ); jw.array(); for ( int i = 0; i < services.length; i++ ) { serviceInfo( jw, services[i], fullDetails || service != null, locale ); } jw.endArray(); jw.endObject(); }	long method	long method, feature envy	t	t	t	feature envy		0	10977	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/webconsole/src/main/java/org/apache/felix/webconsole/internal/core/ServicesServlet.java/#L342-L374	1	1443	10977
2164	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public SocketServer(NetworkConfig config, SSLConfig sslConfig, MetricRegistry registry, ArrayList portList) { this.host = config.hostName; this.port = config.port; this.numProcessorThreads = config.numIoThreads; this.maxQueuedRequests = config.queuedMaxRequests; this.sendBufferSize = config.socketSendBufferBytes; this.recvBufferSize = config.socketReceiveBufferBytes; this.maxRequestSize = config.socketRequestMaxBytes; processors = new ArrayList(numProcessorThreads); requestResponseChannel = new SocketRequestResponseChannel(numProcessorThreads, maxQueuedRequests); metrics = new ServerNetworkMetrics(requestResponseChannel, registry, processors); this.acceptors = new ArrayList(); this.ports = new HashMap(); this.validatePorts(portList); this.initializeSSLFactory(sslConfig); }	long method	Long method2 Feature envy	t	f	t			0	13339	https://github.com/linkedin/ambry/blob/1d2e455556058b83f5145740b7f2c5772fa37e1b/ambry-network/src/main/java/com.github.ambry.network/SocketServer.java/#L67-L82	2	2164	13339
173	{ "response": "YES I found bad smells", "the bad smells are": [ "1. Long method", "2. Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static List getUserDetails(String query) { List details = new ArrayList(); if (query != null && !query.isEmpty()) { StringTokenizer allParams = new StringTokenizer(query, "&"); while (allParams.hasMoreTokens()) { String param = allParams.nextToken(); details.add(new BasicNameValuePair(param.substring(0, param.indexOf("=")), param.substring(param.indexOf("=") + 1))); } } return details; }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2041	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/utils/src/main/java/com/cloud/utils/UriUtils.java/#L198-L210	2	173	2041
5481	{ "message": "YES, I found bad smells", "bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public java.util.concurrent.Future updateStack( final UpdateStackRequest request, final com.oracle.bmc.responses.AsyncHandler handler) { LOG.trace("Called async updateStack"); final UpdateStackRequest interceptedRequest = UpdateStackConverter.interceptRequest(request); final com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = UpdateStackConverter.fromRequest(client, interceptedRequest); final com.google.common.base.Function transformer = UpdateStackConverter.fromResponse(); com.oracle.bmc.responses.AsyncHandler handlerToUse = handler; if (handler != null && this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { handlerToUse = new com.oracle.bmc.util.internal.RefreshAuthTokenWrappingAsyncHandler< UpdateStackRequest, UpdateStackResponse>( (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, handler) { @Override public void retryCall() { final com.oracle.bmc.util.internal.Consumer onSuccess = new com.oracle.bmc.http.internal.SuccessConsumer<>( this, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = new com.oracle.bmc.http.internal.ErrorConsumer<>( this, interceptedRequest); client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }; } final com.oracle.bmc.util.internal.Consumer onSuccess = (handler == null) ? null : new com.oracle.bmc.http.internal.SuccessConsumer<>( handlerToUse, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = (handler == null) ? null : new com.oracle.bmc.http.internal.ErrorConsumer<>( handlerToUse, interceptedRequest); java.util.concurrent.Future responseFuture = client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); if (this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { return new com.oracle.bmc.util.internal.RefreshAuthTokenTransformingFuture< javax.ws.rs.core.Response, UpdateStackResponse>( responseFuture, transformer, (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, new com.google.common.base.Supplier< java.util.concurrent.Future>() { @Override public java.util.concurrent.Future get() { return client.put( ib, interceptedRequest.getUpdateStackDetails(), interceptedRequest, onSuccess, onError); } }); } else { return new com.oracle.bmc.util.internal.TransformingFuture<>( responseFuture, transformer); } }	long method	long method, feature envy	t	t	t	feature envy		0	1263	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-resourcemanager/src/main/java/com/oracle/bmc/resourcemanager/ResourceManagerAsyncClient.java/#L1366-L1452	2	5481	1263
366	YES I found bad smells the bad smells are: 1. Long method 2. Method with multiple responsibilities 3. Feature envy 4. Code duplication (the for loop that allocates columns could be extracted into a separate method) 5. Lack of comments/documentation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected VectorizedRowBatch setupOverflowBatch() throws HiveException { int initialColumnCount = vContext.firstOutputColumnIndex(); VectorizedRowBatch overflowBatch; int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; overflowBatch = new VectorizedRowBatch(totalNumColumns); // First, just allocate just the output columns we will be using. for (int i = 0; i < outputProjectionColumnMap.length; i++) { int outputColumn = outputProjectionColumnMap[i]; String typeName = outputTypeInfos[i].getTypeName(); allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); } // Now, add any scratch columns needed for children operators. int outputColumn = initialColumnCount; for (String typeName : vOutContext.getScratchColumnTypeNames()) { allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); } overflowBatch.projectedColumns = outputProjectionColumnMap; overflowBatch.projectionSize = outputProjectionColumnMap.length; overflowBatch.reset(); return overflowBatch; }	long method	Long method2 Method with multiple responsibilities3 Feature envy4 Code duplication (the for loop that allocates columns could be extracted into a separate method)5 Lack of comments/documentation	t	f	t			0	3740	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java/#L241-L268	2	366	3740
2571	YES I found bad smells The bad smells are: 1. Long Method 2. Duplicate Code 3. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private synchronized void checkHealth() { CalculatedStatus status = calculateStatus(); boolean healthy = status.isHealthy(); long now = System.currentTimeMillis(); if (healthy) { stateLastGood.set(now); if (lastPublished == LastPublished.FAILED) { if (currentRecoveryStartTime == null) { LOG.info("{} check for {}, now recovering: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing recovering: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentFailureStartTime != null) { LOG.info("{} check for {}, now healthy: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still healthy: {}", new Object[] {this, entity, getDescription(status)}); } } } else { stateLastFail.set(now); if (lastPublished != LastPublished.FAILED) { if (currentFailureStartTime == null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing failing: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentRecoveryStartTime != null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still failed: {}", new Object[] {this, entity, getDescription(status)}); } } } }	long method	Long Method2 Duplicate Code3 Feature Envy	t	f	t			0	14900	https://github.com/apache/brooklyn-server/blob/880eb1da00f6358d7fd76d065322e3685bfb1a04/policy/src/main/java/org/apache/brooklyn/policy/ha/AbstractFailureDetector.java/#L223-L265	2	2571	14900
490	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void validateDepositDetailForUpdate(final JsonElement element, final FromJsonHelper fromApiJsonHelper, final DataValidatorBuilder baseDataValidator) { if (fromApiJsonHelper.parameterExists(nameParamName, element)) { final String name = fromApiJsonHelper.extractStringNamed(nameParamName, element); baseDataValidator.reset().parameter(nameParamName).value(name).notBlank().notExceedingLengthOf(100); } if (fromApiJsonHelper.parameterExists(shortNameParamName, element)) { final String shortName = fromApiJsonHelper.extractStringNamed(shortNameParamName, element); baseDataValidator.reset().parameter(shortNameParamName).value(shortName).notBlank().notExceedingLengthOf(4); } if (fromApiJsonHelper.parameterExists(descriptionParamName, element)) { final String description = fromApiJsonHelper.extractStringNamed(descriptionParamName, element); baseDataValidator.reset().parameter(descriptionParamName).value(description).notBlank().notExceedingLengthOf(500); } if (fromApiJsonHelper.parameterExists(currencyCodeParamName, element)) { final String currencyCode = fromApiJsonHelper.extractStringNamed(currencyCodeParamName, element); baseDataValidator.reset().parameter(currencyCodeParamName).value(currencyCode).notBlank(); } if (fromApiJsonHelper.parameterExists(digitsAfterDecimalParamName, element)) { final Integer digitsAfterDecimal = fromApiJsonHelper.extractIntegerSansLocaleNamed(digitsAfterDecimalParamName, element); baseDataValidator.reset().parameter(digitsAfterDecimalParamName).value(digitsAfterDecimal).notNull().inMinMaxRange(0, 6); } if (fromApiJsonHelper.parameterExists(inMultiplesOfParamName, element)) { final Integer inMultiplesOf = fromApiJsonHelper.extractIntegerNamed(inMultiplesOfParamName, element, Locale.getDefault()); baseDataValidator.reset().parameter(inMultiplesOfParamName).value(inMultiplesOf).ignoreIfNull().integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(nominalAnnualInterestRateParamName, element)) { final BigDecimal interestRate = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(nominalAnnualInterestRateParamName, element); baseDataValidator.reset().parameter(nominalAnnualInterestRateParamName).value(interestRate).notNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(interestCompoundingPeriodTypeParamName, element)) { final Integer interestCompoundingPeriodType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCompoundingPeriodTypeParamName, element); baseDataValidator.reset().parameter(interestCompoundingPeriodTypeParamName).value(interestCompoundingPeriodType).notNull() .isOneOfTheseValues(SavingsCompoundingInterestPeriodType.integerValues()); } if (fromApiJsonHelper.parameterExists(interestCalculationTypeParamName, element)) { final Integer interestCalculationType = fromApiJsonHelper.extractIntegerSansLocaleNamed(interestCalculationTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationTypeParamName).value(interestCalculationType).notNull() .inMinMaxRange(1, 2); } if (fromApiJsonHelper.parameterExists(interestCalculationDaysInYearTypeParamName, element)) { final Integer interestCalculationDaysInYearType = fromApiJsonHelper.extractIntegerSansLocaleNamed( interestCalculationDaysInYearTypeParamName, element); baseDataValidator.reset().parameter(interestCalculationDaysInYearTypeParamName).value(interestCalculationDaysInYearType) .notNull().isOneOfTheseValues(360, 365); } if (fromApiJsonHelper.parameterExists(minRequiredOpeningBalanceParamName, element)) { final BigDecimal minOpeningBalance = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(minRequiredOpeningBalanceParamName, element); baseDataValidator.reset().parameter(minRequiredOpeningBalanceParamName).value(minOpeningBalance).ignoreIfNull() .zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyParamName, element)) { final Integer lockinPeriodFrequency = fromApiJsonHelper.extractIntegerWithLocaleNamed(lockinPeriodFrequencyParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyParamName).value(lockinPeriodFrequency).ignoreIfNull() .integerZeroOrGreater(); } if (fromApiJsonHelper.parameterExists(lockinPeriodFrequencyTypeParamName, element)) { final Integer lockinPeriodFrequencyType = fromApiJsonHelper.extractIntegerSansLocaleNamed(lockinPeriodFrequencyTypeParamName, element); baseDataValidator.reset().parameter(lockinPeriodFrequencyTypeParamName).value(lockinPeriodFrequencyType).inMinMaxRange(0, 3); } if (fromApiJsonHelper.parameterExists(withdrawalFeeForTransfersParamName, element)) { final Boolean isWithdrawalFeeApplicableForTransfers = fromApiJsonHelper.extractBooleanNamed(withdrawalFeeForTransfersParamName, element); baseDataValidator.reset().parameter(withdrawalFeeForTransfersParamName).value(isWithdrawalFeeApplicableForTransfers) .ignoreIfNull().validateForBooleanValue(); } if (fromApiJsonHelper.parameterExists(feeAmountParamName, element)) { final BigDecimal annualFeeAmount = fromApiJsonHelper.extractBigDecimalWithLocaleNamed(feeAmountParamName, element); baseDataValidator.reset().parameter(feeAmountParamName).value(annualFeeAmount).ignoreIfNull().zeroOrPositiveAmount(); } if (fromApiJsonHelper.parameterExists(feeOnMonthDayParamName, element)) { final MonthDay monthDayOfAnnualFee = fromApiJsonHelper.extractMonthDayNamed(feeOnMonthDayParamName, element); baseDataValidator.reset().parameter(feeOnMonthDayParamName).value(monthDayOfAnnualFee).ignoreIfNull(); } if (this.fromApiJsonHelper.parameterExists(minBalanceForInterestCalculationParamName, element)) { final BigDecimal minBalanceForInterestCalculation = this.fromApiJsonHelper.extractBigDecimalWithLocaleNamed( minBalanceForInterestCalculationParamName, element); baseDataValidator.reset().parameter(minBalanceForInterestCalculationParamName).value(minBalanceForInterestCalculation) .ignoreIfNull().zeroOrPositiveAmount(); } final Long savingsControlAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_CONTROL.getValue()).value(savingsControlAccountId) .ignoreIfNull().integerGreaterThanZero(); final Long savingsReferenceAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.SAVINGS_REFERENCE.getValue()) .value(savingsReferenceAccountId).ignoreIfNull().integerGreaterThanZero(); final Long transfersInSuspenseAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.TRANSFERS_SUSPENSE.getValue()) .value(transfersInSuspenseAccountId).ignoreIfNull().integerGreaterThanZero(); final Long interestOnSavingsAccountId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INTEREST_ON_SAVINGS.getValue()) .value(interestOnSavingsAccountId).ignoreIfNull().integerGreaterThanZero(); final Long incomeFromFeeId = fromApiJsonHelper.extractLongNamed(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_FEES.getValue()).value(incomeFromFeeId) .ignoreIfNull().integerGreaterThanZero(); final Long incomeFromPenaltyId = fromApiJsonHelper.extractLongNamed( SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue(), element); baseDataValidator.reset().parameter(SAVINGS_PRODUCT_ACCOUNTING_PARAMS.INCOME_FROM_PENALTIES.getValue()).value(incomeFromPenaltyId) .ignoreIfNull().integerGreaterThanZero(); validatePaymentChannelFundSourceMappings(fromApiJsonHelper, baseDataValidator, element); validateChargeToIncomeAccountMappings(fromApiJsonHelper, baseDataValidator, element); validateTaxWithHoldingParams(baseDataValidator, element, false); }	long method	long method	t	t	t			0	4881	https://github.com/apache/fineract/blob/210e380df3ca5c74c8c2fa09e7fe1cffdb87e20a/fineract-provider/src/main/java/org/apache/fineract/portfolio/savings/data/DepositProductDataValidator.java/#L413-L547	1	490	4881
489	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void appendXmlComparison1(SQLBuffer buf, String op, FilterValue lhs, FilterValue rhs) { boolean castrhs = false; Class rc = Filters.wrap(rhs.getType()); int type = 0; if (rhs.isConstant()) { type = getJDBCType(JavaTypes.getTypeCode(rc), false); castrhs = true; } appendXmlExists(buf, lhs); buf.append(" ").append(op).append(" "); buf.append("$"); if (castrhs) buf.append("Parm"); else rhs.appendTo(buf); buf.append("]' PASSING "); appendXmlVar(buf, lhs); buf.append(", "); if (castrhs) appendCast(buf, rhs, type); else rhs.appendTo(buf); buf.append(" AS \""); if (castrhs) buf.append("Parm"); else rhs.appendTo(buf); buf.append("\")"); }	long method	long method, blob	t	t	t	blob		0	4865	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-jdbc/src/main/java/org/apache/openjpa/jdbc/sql/DB2Dictionary.java/#L682-L717	1	489	4865
2781	{"message": "YES I found bad smells", "bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: /* update subject DN */ subjectDN = cert.getSubjectX500Principal(); /* check for key needing to inherit alg parameters */ X509CertImpl icert = X509CertImpl.toImpl(cert); PublicKey newKey = cert.getPublicKey(); if (PKIX.isDSAPublicKeyWithoutParams(newKey)) { newKey = BasicChecker.makeInheritedParamsKey(newKey, pubKey); } /* update subject public key */ pubKey = newKey; /* * if this is a trusted cert (init == true), then we * don't update any of the remaining fields */ if (init) { init = false; return; } /* update subject key identifier */ subjKeyId = icert.getSubjectKeyIdentifierExtension(); /* update crlSign */ crlSign = RevocationChecker.certCanSignCrl(cert); /* update current name constraints */ if (nc != null) { nc.merge(icert.getNameConstraintsExtension()); } else { nc = icert.getNameConstraintsExtension(); if (nc != null) { // Make sure we do a clone here, because we're probably // going to modify this object later and we don't want to // be sharing it with a Certificate object! nc = (NameConstraintsExtension) nc.clone(); } } /* update policy state variables */ explicitPolicy = PolicyChecker.mergeExplicitPolicy(explicitPolicy, icert, false); policyMapping = PolicyChecker.mergePolicyMapping(policyMapping, icert); inhibitAnyPolicy = PolicyChecker.mergeInhibitAnyPolicy(inhibitAnyPolicy, icert); certIndex++; /* * Update remaining CA certs */ remainingCACerts = ConstraintsChecker.mergeBasicConstraints(cert, remainingCACerts); init = false; } /** * Returns a boolean flag indicating if a key lacking necessary key * algorithm parameters has been encountered. * * @return boolean flag indicating if key lacking parameters encountered. */	long method	long method	t	t	t			0	1122	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/provider/certpath/ReverseState.java/#L284-L348	1	2781	1122
3795	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String toString() { StringBuilder sb = new StringBuilder(); sb.append(Constants.INDENT); sb.append("kdf: 0x"); sb.append(Functions.toFullHexString(kdf)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedDataLen: "); sb.append(pSharedData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pSharedData: "); sb.append(Functions.toHexString(pSharedData)); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicDataLen: "); sb.append(pPublicData.length); sb.append(Constants.NEWLINE); sb.append(Constants.INDENT); sb.append("pPublicData: "); sb.append(Functions.toHexString(pPublicData)); //buffer.append(Constants.NEWLINE); return sb.toString(); }	long method	Long method2 Feature envy	t	f	t			0	9593	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/wrapper/CK_ECDH1_DERIVE_PARAMS.java/#L107-L136	2	3795	9593
1675	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void setModalFieldsTooltips() { // set Tooltips this.tooltipInput.setTitle(MSGS.firewallPortForwardFormInboundInterfaceToolTip()); this.tooltipOutput.setTitle(MSGS.firewallPortForwardFormOutboundInterfaceToolTip()); this.tooltipLan.setTitle(MSGS.firewallPortForwardFormLanAddressToolTip()); this.tooltipProtocol.setTitle(MSGS.firewallPortForwardFormProtocolToolTip()); this.tooltipInternal.setTitle(MSGS.firewallPortForwardFormInternalPortToolTip()); this.tooltipExternal.setTitle(MSGS.firewallPortForwardFormExternalPortToolTip()); this.tooltipEnable.setTitle(MSGS.firewallPortForwardFormMasqueradingToolTip()); this.tooltipPermittedNw.setTitle(MSGS.firewallPortForwardFormPermittedNetworkToolTip()); this.tooltipPermittedMac.setTitle(MSGS.firewallPortForwardFormPermittedMacAddressToolTip()); this.tooltipSource.setTitle(MSGS.firewallPortForwardFormSourcePortRangeToolTip()); this.tooltipInput.reconfigure(); this.tooltipOutput.reconfigure(); this.tooltipLan.reconfigure(); this.tooltipProtocol.reconfigure(); this.tooltipExternal.reconfigure(); this.tooltipInternal.reconfigure(); this.tooltipEnable.reconfigure(); this.tooltipPermittedNw.reconfigure(); this.tooltipPermittedMac.reconfigure(); this.tooltipSource.reconfigure(); }	long method	long method	t	t	t			0	11644	https://github.com/eclipse/kura/blob/5e9f3e3d03c8a9cc7857b3fb9080b256821bb32a/kura/org.eclipse.kura.web2/src/main/java/org/eclipse/kura/web/client/ui/firewall/PortForwardingTabUi.java/#L796-L818	1	1675	11644
1925	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private TtmlRegion parseRegionAttributes( XmlPullParser xmlParser, CellResolution cellResolution, TtsExtent ttsExtent) { String regionId = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_ID); if (regionId == null) { return null; } float position; float line; String regionOrigin = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_ORIGIN); if (regionOrigin != null) { Matcher originPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionOrigin); Matcher originPixelMatcher = PIXEL_COORDINATES.matcher(regionOrigin); if (originPercentageMatcher.matches()) { try { position = Float.parseFloat(originPercentageMatcher.group(1)) / 100f; line = Float.parseFloat(originPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else if (originPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int width = Integer.parseInt(originPixelMatcher.group(1)); int height = Integer.parseInt(originPixelMatcher.group(2)); // Convert pixel values to fractions. position = width / (float) ttsExtent.width; line = height / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported origin: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an origin"); return null; // TODO: Should default to top left as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Origin is omitted. Default to top left. // position = 0; // line = 0; } float width; float height; String regionExtent = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_EXTENT); if (regionExtent != null) { Matcher extentPercentageMatcher = PERCENTAGE_COORDINATES.matcher(regionExtent); Matcher extentPixelMatcher = PIXEL_COORDINATES.matcher(regionExtent); if (extentPercentageMatcher.matches()) { try { width = Float.parseFloat(extentPercentageMatcher.group(1)) / 100f; height = Float.parseFloat(extentPercentageMatcher.group(2)) / 100f; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else if (extentPixelMatcher.matches()) { if (ttsExtent == null) { Log.w(TAG, "Ignoring region with missing tts:extent: " + regionOrigin); return null; } try { int extentWidth = Integer.parseInt(extentPixelMatcher.group(1)); int extentHeight = Integer.parseInt(extentPixelMatcher.group(2)); // Convert pixel values to fractions. width = extentWidth / (float) ttsExtent.width; height = extentHeight / (float) ttsExtent.height; } catch (NumberFormatException e) { Log.w(TAG, "Ignoring region with malformed extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region with unsupported extent: " + regionOrigin); return null; } } else { Log.w(TAG, "Ignoring region without an extent"); return null; // TODO: Should default to extent of parent as below in this case, but need to fix // https://github.com/google/ExoPlayer/issues/2953 first. // Extent is omitted. Default to extent of parent. // width = 1; // height = 1; } @Cue.AnchorType int lineAnchor = Cue.ANCHOR_TYPE_START; String displayAlign = XmlPullParserUtil.getAttributeValue(xmlParser, TtmlNode.ATTR_TTS_DISPLAY_ALIGN); if (displayAlign != null) { switch (Util.toLowerInvariant(displayAlign)) { case "center": lineAnchor = Cue.ANCHOR_TYPE_MIDDLE; line += height / 2; break; case "after": lineAnchor = Cue.ANCHOR_TYPE_END; line += height; break; default: // Default "before" case. Do nothing. break; } } float regionTextHeight = 1.0f / cellResolution.rows; return new TtmlRegion( regionId, position, line, /* lineType= */ Cue.LINE_TYPE_FRACTION, lineAnchor, width, /* textSizeType= */ Cue.TEXT_SIZE_TYPE_FRACTIONAL_IGNORE_PADDING, /* textSize= */ regionTextHeight); }	long method	long method	t	t	t			0	12434	https://github.com/google/ExoPlayer/blob/4bc79c9465abd00e29ff576c5f7a7517be632f5a/library/core/src/main/java/com/google/android/exoplayer2/text/ttml/TtmlDecoder.java/#L311-L434	1	1925	12434
1515	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected static boolean typeCheckMethodsWithGenerics(ClassNode receiver, ClassNode[] arguments, MethodNode candidateMethod) { if (isUsingUncheckedGenerics(receiver)) { return true; } if (CLASS_Type.equals(receiver) && receiver.isUsingGenerics() && !candidateMethod.getDeclaringClass().equals(receiver) && !(candidateMethod instanceof ExtensionMethodNode)) { return typeCheckMethodsWithGenerics(receiver.getGenericsTypes()[0].getType(), arguments, candidateMethod); } // both candidate method and receiver have generic information so a check is possible GenericsType[] genericsTypes = candidateMethod.getGenericsTypes(); boolean methodUsesGenerics = (genericsTypes != null && genericsTypes.length > 0); boolean isExtensionMethod = candidateMethod instanceof ExtensionMethodNode; if (isExtensionMethod && methodUsesGenerics) { ClassNode[] dgmArgs = new ClassNode[arguments.length + 1]; dgmArgs[0] = receiver; System.arraycopy(arguments, 0, dgmArgs, 1, arguments.length); MethodNode extensionMethodNode = ((ExtensionMethodNode) candidateMethod).getExtensionMethodNode(); return typeCheckMethodsWithGenerics(extensionMethodNode.getDeclaringClass(), dgmArgs, extensionMethodNode, true); } else { return typeCheckMethodsWithGenerics(receiver, arguments, candidateMethod, false); } }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11164	https://github.com/apache/groovy/blob/00ee0547c00673a93e0843a9d72c8e4293d1efdb/src/main/java/org/codehaus/groovy/transform/stc/StaticTypeCheckingSupport.java/#L1460-L1483	1	1515	11164
21	{ "answer": "YES I found bad smells", "bad smells are": "1. Long method" }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public String toString() { return "ExecInfo{" + "id='" + id + '\'' + ", container=" + container + ", processConfig=" + processConfig + ", openStdout='" + openStdout + '\'' + ", openStderr='" + openStderr + '\'' + ", openStdin='" + openStdin + '\'' + ", running='" + running + '\'' + ", exitCode='" + exitCode + '\'' + '}'; }	long method	1. long method	t	t	t			0	682	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/infrastructures/docker/docker-client/src/main/java/org/eclipse/che/infrastructure/docker/client/json/ExecInfo.java/#L90-L116	2	21	682
21	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public String toString() { return "ExecInfo{" + "id='" + id + '\'' + ", container=" + container + ", processConfig=" + processConfig + ", openStdout='" + openStdout + '\'' + ", openStderr='" + openStderr + '\'' + ", openStdin='" + openStdin + '\'' + ", running='" + running + '\'' + ", exitCode='" + exitCode + '\'' + '}'; }	long method	long method, data class	t	t	t	data class		0	682	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/infrastructures/docker/docker-client/src/main/java/org/eclipse/che/infrastructure/docker/client/json/ExecInfo.java/#L90-L116	1	21	682
4605	YES, I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected boolean downloadLog(HttpServletRequest request, HttpServletResponse response, ILogService logService, String appenderName) throws ServletException { FileAppender appender = logService .getFileAppender(appenderName); if (appender == null) { String msg = NLS.bind("Appender not found: {0}", appenderName); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_NOT_FOUND, msg, null); return statusHandler.handleRequest(request, response, error); } File logFile = new File(appender.getFile()); try { LogUtils.provideLogFile(logFile, response); } catch (Exception ex) { String msg = NLS.bind("An error occured when looking for log {0}.", logFile.getName()); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_INTERNAL_SERVER_ERROR, msg, ex); LogHelper.log(error); return statusHandler.handleRequest(request, response, error); } return true; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	12253	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.logs/src/org/eclipse/orion/server/logs/servlets/FileAppenderHandler.java/#L43-L70	2	4605	12253
1959	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static ClassLoader findClassLoader() throws ConfigurationError { // Figure out which ClassLoader to use for loading the provider // class. If there is a Context ClassLoader then use it. ClassLoader context = SecuritySupport.getContextClassLoader(); ClassLoader system = SecuritySupport.getSystemClassLoader(); ClassLoader chain = system; while (true) { if (context == chain) { // Assert: we are on JDK 1.1 or we have no Context ClassLoader // or any Context ClassLoader in chain of system classloader // (including extension ClassLoader) so extend to widest // ClassLoader (always look in system ClassLoader if Xalan // is in boot/extension/system classpath and in current // ClassLoader otherwise); normal classloaders delegate // back to system ClassLoader first so this widening doesn't // change the fact that context ClassLoader will be consulted ClassLoader current = ObjectFactory.class.getClassLoader(); chain = system; while (true) { if (current == chain) { // Assert: Current ClassLoader in chain of // boot/extension/system ClassLoaders return system; } if (chain == null) { break; } chain = SecuritySupport.getParentClassLoader(chain); } // Assert: Current ClassLoader not in chain of // boot/extension/system ClassLoaders return current; } if (chain == null) { // boot ClassLoader reached break; } // Check for any extension ClassLoaders in chain up to // boot ClassLoader chain = SecuritySupport.getParentClassLoader(chain); }; // Assert: Context ClassLoader not in chain of // boot/extension/system ClassLoaders return context; } // findClassLoader():ClassLoader	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	12573	https://github.com/apache/xalan-j/blob/cba6d7fe7e93defecb98d155e2a780f8a3f1fbaa/src/org/apache/xalan/xsltc/dom/ObjectFactory.java/#L391-L443	2	1959	12573
1543	{ "output": "YES, I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String toString() { if (subject == null || pubKey == null || interval == null || issuer == null || algId == null || serialNum == null) { throw new NullPointerException("X.509 cert is incomplete"); } StringBuilder sb = new StringBuilder(); sb.append("[\n"); sb.append(" " + version.toString() + "\n"); sb.append(" Subject: " + subject.toString() + "\n"); sb.append(" Signature Algorithm: " + algId.toString() + "\n"); sb.append(" Key: " + pubKey.toString() + "\n"); sb.append(" " + interval.toString() + "\n"); sb.append(" Issuer: " + issuer.toString() + "\n"); sb.append(" " + serialNum.toString() + "\n"); // optional v2, v3 extras if (issuerUniqueId != null) { sb.append(" Issuer Id:\n" + issuerUniqueId.toString() + "\n"); } if (subjectUniqueId != null) { sb.append(" Subject Id:\n" + subjectUniqueId.toString() + "\n"); } if (extensions != null) { Collection allExts = extensions.getAllExtensions(); Extension[] exts = allExts.toArray(new Extension[0]); sb.append("\nCertificate Extensions: " + exts.length); for (int i = 0; i < exts.length; i++) { sb.append("\n[" + (i+1) + "]: "); Extension ext = exts[i]; try { if (OIDMap.getClass(ext.getExtensionId()) == null) { sb.append(ext.toString()); byte[] extValue = ext.getExtensionValue(); if (extValue != null) { DerOutputStream out = new DerOutputStream(); out.putOctetString(extValue); extValue = out.toByteArray(); HexDumpEncoder enc = new HexDumpEncoder(); sb.append("Extension unknown: " + "DER encoded OCTET string =\n" + enc.encodeBuffer(extValue) + "\n"); } } else sb.append(ext.toString()); //sub-class exists } catch (Exception e) { sb.append(", Error parsing this extension"); } } Map invalid = extensions.getUnparseableExtensions(); if (invalid.isEmpty() == false) { sb.append("\nUnparseable certificate extensions: " + invalid.size()); int i = 1; for (Extension ext : invalid.values()) { sb.append("\n[" + (i++) + "]: "); sb.append(ext); } } } sb.append("\n]"); return sb.toString(); }	long method	Long Method, Data Class	t	f	t	Data Class		0	11243	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/sun/security/x509/X509CertInfo.java/#L292-L354	1	1543	11243
772	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public double correlation(final double[] xArray, final double[] yArray) throws DimensionMismatchException { if (xArray.length != yArray.length) { throw new DimensionMismatchException(xArray.length, yArray.length); } final int n = xArray.length; final long numPairs = sum(n - 1); @SuppressWarnings("unchecked") Pair[] pairs = new Pair[n]; for (int i = 0; i < n; i++) { pairs[i] = new Pair<>(xArray[i], yArray[i]); } Arrays.sort(pairs, new Comparator>() { /** {@inheritDoc} */ @Override public int compare(Pair pair1, Pair pair2) { int compareFirst = pair1.getFirst().compareTo(pair2.getFirst()); return compareFirst != 0 ? compareFirst : pair1.getSecond().compareTo(pair2.getSecond()); } }); long tiedXPairs = 0; long tiedXYPairs = 0; long consecutiveXTies = 1; long consecutiveXYTies = 1; Pair prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getFirst().equals(prev.getFirst())) { consecutiveXTies++; if (curr.getSecond().equals(prev.getSecond())) { consecutiveXYTies++; } else { tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } } else { tiedXPairs += sum(consecutiveXTies - 1); consecutiveXTies = 1; tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } prev = curr; } tiedXPairs += sum(consecutiveXTies - 1); tiedXYPairs += sum(consecutiveXYTies - 1); long swaps = 0; @SuppressWarnings("unchecked") Pair[] pairsDestination = new Pair[n]; for (int segmentSize = 1; segmentSize < n; segmentSize <<= 1) { for (int offset = 0; offset < n; offset += 2 * segmentSize) { int i = offset; final int iEnd = FastMath.min(i + segmentSize, n); int j = iEnd; final int jEnd = FastMath.min(j + segmentSize, n); int copyLocation = offset; while (i < iEnd || j < jEnd) { if (i < iEnd) { if (j < jEnd) { if (pairs[i].getSecond().compareTo(pairs[j].getSecond()) <= 0) { pairsDestination[copyLocation] = pairs[i]; i++; } else { pairsDestination[copyLocation] = pairs[j]; j++; swaps += iEnd - i; } } else { pairsDestination[copyLocation] = pairs[i]; i++; } } else { pairsDestination[copyLocation] = pairs[j]; j++; } copyLocation++; } } final Pair[] pairsTemp = pairs; pairs = pairsDestination; pairsDestination = pairsTemp; } long tiedYPairs = 0; long consecutiveYTies = 1; prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getSecond().equals(prev.getSecond())) { consecutiveYTies++; } else { tiedYPairs += sum(consecutiveYTies - 1); consecutiveYTies = 1; } prev = curr; } tiedYPairs += sum(consecutiveYTies - 1); final long concordantMinusDiscordant = numPairs - tiedXPairs - tiedYPairs + tiedXYPairs - 2 * swaps; final double nonTiedPairsMultiplied = (numPairs - tiedXPairs) * (double) (numPairs - tiedYPairs); return concordantMinusDiscordant / FastMath.sqrt(nonTiedPairsMultiplied); }	long method	long method, data class, feature envy	t	t	t	data class, feature envy		0	7285	https://github.com/apache/commons-math/blob/f3719d89ab6a928e8618bbe6a7da8214d9d6eb07/src/main/java/org/apache/commons/math4/stat/correlation/KendallsCorrelation.java/#L154-L261	1	772	7285
859	YES I found bad smells the bad smells are: Long method, Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static ImmutableDictionaryReader loadDictionary(PinotDataBuffer dictionaryBuffer, ColumnMetadata metadata, boolean loadOnHeap) { FieldSpec.DataType dataType = metadata.getDataType(); if (loadOnHeap) { String columnName = metadata.getColumnName(); LOGGER.info("Loading on-heap dictionary for column: {}", columnName); } int length = metadata.getCardinality(); switch (dataType) { case INT: return (loadOnHeap) ? new OnHeapIntDictionary(dictionaryBuffer, length) : new IntDictionary(dictionaryBuffer, length); case LONG: return (loadOnHeap) ? new OnHeapLongDictionary(dictionaryBuffer, length) : new LongDictionary(dictionaryBuffer, length); case FLOAT: return (loadOnHeap) ? new OnHeapFloatDictionary(dictionaryBuffer, length) : new FloatDictionary(dictionaryBuffer, length); case DOUBLE: return (loadOnHeap) ? new OnHeapDoubleDictionary(dictionaryBuffer, length) : new DoubleDictionary(dictionaryBuffer, length); case STRING: int numBytesPerValue = metadata.getColumnMaxLength(); byte paddingByte = (byte) metadata.getPaddingCharacter(); return loadOnHeap ? new OnHeapStringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte) : new StringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte); case BYTES: numBytesPerValue = metadata.getColumnMaxLength(); return new BytesDictionary(dictionaryBuffer, length, numBytesPerValue); default: throw new IllegalStateException("Illegal data type for dictionary: " + dataType); } }	long method	Long method, Feature envy	t	f	t	Feature envy		0	7898	https://github.com/apache/incubator-pinot/blob/d58f8bce4b59de096b4ee9fee61c679482dd1d7d/pinot-core/src/main/java/org/apache/pinot/core/segment/index/column/PhysicalColumnIndexContainer.java/#L143-L182	2	859	7898
732	{"answer": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void tryStoreVectorizedKey(HiveKey key, boolean partColsIsNull, int batchIndex) throws HiveException, IOException { // Assumption - batchIndex is increasing; startVectorizedBatch was called int size = indexes.size(); int index = size < topN ? size : evicted; keys[index] = Arrays.copyOf(key.getBytes(), key.getLength()); distKeyLengths[index] = key.getDistKeyLength(); hashes[index] = key.hashCode(); Integer collisionIndex = indexes.store(index); if (null != collisionIndex) { /* * since there is a collision index will be used for the next value * so have the map point back to original index. */ if ( indexes instanceof HashForGroup ) { indexes.store(collisionIndex); } // forward conditional on the survival of the corresponding key currently in indexes. ++batchNumForwards; batchIndexToResult[batchIndex] = MAY_FORWARD - collisionIndex; return; } indexToBatchIndex[index] = batchIndex; batchIndexToResult[batchIndex] = index; if (size != topN) return; evicted = indexes.removeBiggest(); // remove the biggest key if (index == evicted) { excluded++; batchIndexToResult[batchIndex] = EXCLUDE; indexToBatchIndex[index] = -1; return; // input key is bigger than any of keys in hash } removed(evicted); int evictedBatchIndex = indexToBatchIndex[evicted]; if (evictedBatchIndex >= 0) { // reset the result for the evicted index batchIndexToResult[evictedBatchIndex] = EXCLUDE; indexToBatchIndex[evicted] = -1; } // Evict all results grouped with this index; it cannot be any key further in the batch. // If we evict a key from this batch, the keys grouped with it cannot be earlier that that key. // If we evict a key that is not from this batch, initial i = (-1) + 1 = 0, as intended. int evictedForward = (MAY_FORWARD - evicted); for (int i = evictedBatchIndex + 1; i < batchIndex && (batchNumForwards > 0); ++i) { if (batchIndexToResult[i] == evictedForward) { batchIndexToResult[i] = EXCLUDE; --batchNumForwards; } } }	long method	long method	t	t	t			0	6885	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/exec/TopNHash.java/#L213-L262	1	732	6885
791	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public LongRect getSelectionBounds(ItemSelection selection, ChartContext context) { XYItemSelection sel = (XYItemSelection)selection; XYItem item = sel.getItem(); int selectedValueIndex = sel.getValueIndex(); if (selectedValueIndex == -1 || selectedValueIndex >= item.getValuesCount()) // This happens on reset - bounds of the selection are unknown, let's clear whole area return new LongRect(0, 0, context.getViewportWidth(), context.getViewportHeight()); else return getViewBounds(item, selectedValueIndex, context); }	long method	Long method2 Feature envy	t	f	t			0	7535	https://github.com/oracle/visualvm/blob/d9b10575b53d535e10c6e8c41831ebe38483c65b/visualvm/libs.profiler/profiler.snaptracer/src/org/graalvm/visualvm/lib/profiler/snaptracer/impl/timeline/TimelineXYPainter.java/#L145-L158	2	791	7535
2042	the bad smells are: 1. Long method 2. Duplicate code 3. Complex conditional logic 4. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: final protected Node internalRemoveNamedItemNS(String namespaceURI, String name, boolean raiseEx) { CoreDocumentImpl ownerDocument = ownerNode.ownerDocument(); if (ownerDocument.errorChecking && isReadOnly()) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NO_MODIFICATION_ALLOWED_ERR", null); throw new DOMException(DOMException.NO_MODIFICATION_ALLOWED_ERR, msg); } int i = findNamePoint(namespaceURI, name); if (i < 0) { if (raiseEx) { String msg = DOMMessageFormatter.formatMessage(DOMMessageFormatter.DOM_DOMAIN, "NOT_FOUND_ERR", null); throw new DOMException(DOMException.NOT_FOUND_ERR, msg); } else { return null; } } AttrImpl n = (AttrImpl)nodes.get(i); if (n.isIdAttribute()) { ownerDocument.removeIdentifier(n.getValue()); } // If there's a default, add it instead String nodeName = n.getNodeName(); if (hasDefaults()) { NamedNodeMapImpl defaults = ((ElementImpl) ownerNode).getDefaultAttributes(); Node d; if (defaults != null && (d = defaults.getNamedItem(nodeName)) != null) { int j = findNamePoint(nodeName,0); if (j>=0 && findNamePoint(nodeName, j+1) < 0) { NodeImpl clone = (NodeImpl)d.cloneNode(true); clone.ownerNode = ownerNode; if (d.getLocalName() != null) { // we must rely on the name to find a default attribute // ("test:attr"), but while copying it from the DOCTYPE // we should not loose namespace URI that was assigned // to the attribute in the instance document. ((AttrNSImpl)clone).namespaceURI = namespaceURI; } clone.isOwned(true); clone.isSpecified(false); nodes.set(i, clone); if (clone.isIdAttribute()) { ownerDocument.putIdentifier(clone.getNodeValue(), (ElementImpl)ownerNode); } } else { nodes.remove(i); } } else { nodes.remove(i); } } else { nodes.remove(i); } // changed(true); // remove reference to owner n.ownerNode = ownerDocument; n.isOwned(false); // make sure it won't be mistaken with defaults in case it's // reused n.isSpecified(true); // update id table if needed n.isIdAttribute(false); // notify document ownerDocument.removedAttrNode(n, ownerNode, name); return n; } // internalRemoveNamedItemNS(String,String,boolean):Node	long method	Long method2 Duplicate code3 Complex conditional logic4 Feature envy	f	f	t			0	12854	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/dom/AttributeMap.java/#L391-L467	2	2042	12854
1106	{"message": "YES I found bad smells", "bad_smells": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void verifyRepository(RepositoryRequest request) throws AmbariException { URLStreamProvider usp = new URLStreamProvider(REPO_URL_CONNECT_TIMEOUT, REPO_URL_READ_TIMEOUT, null, null, null); usp.setSetupTruststoreForHttps(false); String repoName = request.getRepoName(); if (StringUtils.isEmpty(repoName)) { throw new IllegalArgumentException("repo_name is required to verify repository"); } String errorMessage = null; Exception e = null; String[] suffixes = configs.getRepoValidationSuffixes(request.getOsType()); for (String suffix : suffixes) { String formatted_suffix = String.format(suffix, repoName); String spec = request.getBaseUrl().trim(); // This logic is to identify if the end of baseurl has a slash ('/') and/or the beginning of suffix String (e.g. "/repodata/repomd.xml") // has a slash and they can form a good url. // e.g. "http://baseurl.com/" + "/repodata/repomd.xml" becomes "http://baseurl.com/repodata/repomd.xml" but not "http://baseurl.com//repodata/repomd.xml" if (spec.charAt(spec.length() - 1) != '/' && formatted_suffix.charAt(0) != '/') { spec = spec + "/" + formatted_suffix; } else if (spec.charAt(spec.length() - 1) == '/' && formatted_suffix.charAt(0) == '/') { spec = spec + formatted_suffix.substring(1); } else { spec = spec + formatted_suffix; } // if spec contains "file://" then check local file system. final String FILE_SCHEME = "file://"; if(spec.toLowerCase().startsWith(FILE_SCHEME)){ String filePath = spec.substring(FILE_SCHEME.length()); File f = new File(filePath); if(!f.exists()){ errorMessage = "Could not access base url . " + spec + " . "; e = new FileNotFoundException(errorMessage); break; } }else{ try { IOUtils.readLines(usp.readFrom(spec)); } catch (IOException ioe) { e = ioe; errorMessage = "Could not access base url . " + request.getBaseUrl() + " . "; if (LOG.isDebugEnabled()) { errorMessage += ioe; } else { errorMessage += ioe.getMessage(); } break; } } } if (e != null) { LOG.error(errorMessage); throw new IllegalArgumentException(errorMessage, e); } }	long method	long method, feature envy	t	t	t	feature envy		0	9879	https://github.com/apache/ambari/blob/2bc4779a1e6aabe638101fc8b0e28cd1963d6b13/ambari-server/src/main/java/org/apache/ambari/server/controller/AmbariManagementControllerImpl.java/#L4555-L4614	1	1106	9879
1520	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static boolean resolveGenericRef(GenericRef ref, Class clazz, Type type) { if (type instanceof Class) { if (type == ref.ifaceClass) { // is this a straight ref or a TypeVariable? // debug("Found ref (as class): %s",toShortName(type)); ref.setGenericFromType(type,0); return true; } else { // Keep digging return resolveGenericRef(ref,type); } } if (type instanceof ParameterizedType) { ParameterizedType ptype = (ParameterizedType)type; Type rawType = ptype.getRawType(); if (rawType == ref.ifaceClass) { // debug("Found ref on [%s] as ParameterizedType [%s]",toShortName(clazz),toShortName(ptype)); // Always get the raw type parameter, let unwrap() solve for what it is ref.setGenericFromType(ptype.getActualTypeArguments()[0],0); return true; } else { // Keep digging return resolveGenericRef(ref,rawType); } } return false; }	long method	long method	t	t	t			0	11172	https://github.com/eclipse/jetty.project/blob/65528f76c5ef6ddca11385f9721c8f0bc5f2eed7/jetty-websocket/websocket-common/src/main/java/org/eclipse/jetty/websocket/common/util/ReflectUtils.java/#L189-L225	1	1520	11172
1325	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void handleRemainder() { final int remainingRecordCount = incoming.getRecordCount() - remainderIndex; assert this.memoryManager.incomingBatch == incoming; final int recordsToProcess = Math.min(remainingRecordCount, memoryManager.getOutputRowCount()); if (!doAlloc(recordsToProcess)) { outOfMemory = true; return; } logger.trace("handleRemainder: remaining RC {}, toProcess {}, remainder index {}, incoming {}, Project {}", remainingRecordCount, recordsToProcess, remainderIndex, incoming, this); long projectStartTime = System.currentTimeMillis(); final int projRecords = projector.projectRecords(this.incoming, remainderIndex, recordsToProcess, 0); long projectEndTime = System.currentTimeMillis(); logger.trace("handleRemainder: projection: records {}, time {} ms", projRecords,(projectEndTime - projectStartTime)); if (projRecords < remainingRecordCount) { setValueCount(projRecords); this.recordCount = projRecords; remainderIndex += projRecords; } else { setValueCount(remainingRecordCount); hasRemainder = false; remainderIndex = 0; for (final VectorWrapper v : incoming) { v.clear(); } this.recordCount = remainingRecordCount; } // In case of complex writer expression, vectors would be added to batch run-time. // We have to re-build the schema. if (complexWriters != null) { container.buildSchema(SelectionVectorMode.NONE); } memoryManager.updateOutgoingStats(projRecords); RecordBatchStats.logRecordBatchStats(RecordBatchIOType.OUTPUT, this, getRecordBatchStatsContext()); }	long method	long method, feature envy	t	t	t	feature envy		0	10702	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/project/ProjectRecordBatch.java/#L259-L299	1	1325	10702
1269	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	Long method2 Feature envy	t	f	t			0	10565	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	2	1269	10565
1125	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Collection validate(final ValidationContext validationContext, final CredentialsStrategy primaryStrategy) { boolean thisIsSelectedStrategy = this == primaryStrategy; Boolean useStrategy = validationContext.getProperty(strategyProperty).asBoolean(); if (!thisIsSelectedStrategy && useStrategy) { String failureFormat = "property %1$s cannot be used with %2$s"; Collection validationFailureResults = new ArrayList(); String message = String.format(failureFormat, strategyProperty.getDisplayName(), primaryStrategy.getName()); validationFailureResults.add(new ValidationResult.Builder() .subject(strategyProperty.getDisplayName()) .valid(false) .explanation(message).build()); return validationFailureResults; } return null; }	long method	long method, feature envy	t	t	t	feature envy		0	10003	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/credentials/provider/factory/strategies/AbstractBooleanCredentialsStrategy.java/#L51-L68	1	1125	10003
2359	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean makeAcquisitionUnstealable(final MessageInstanceConsumer consumer) { EntryState state = _state; if(state instanceof StealableConsumerAcquiredState && ((StealableConsumerAcquiredState) state).getConsumer() == consumer) { UnstealableConsumerAcquiredState unstealableState = ((StealableConsumerAcquiredState) state).getUnstealableState(); boolean updated = _stateUpdater.compareAndSet(this, state, unstealableState); if(updated) { notifyStateChange(state, unstealableState); } return updated; } return state instanceof UnstealableConsumerAcquiredState && ((UnstealableConsumerAcquiredState) state).getConsumer() == consumer; }	long method	long method, feature envy	t	t	t	feature envy		0	14234	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/queue/QueueEntryImpl.java/#L336-L353	1	2359	14234
240	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long method", "2. Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void parseQuotedValue(byte prev) throws IOException { final byte newLine = this.newLine; final byte delimiter = this.delimiter; final TextOutput output = this.output; final TextInput input = this.input; final byte quote = this.quote; ch = input.nextCharNoNewLineCheck(); while (!(prev == quote && (ch == delimiter || ch == newLine || isWhite(ch)))) { if (ch != quote) { if (prev == quote) { // unescaped quote detected if (parseUnescapedQuotes) { output.append(quote); output.append(ch); parseQuotedValue(ch); break; } else { throw new TextParsingException( context, "Unescaped quote character '" + quote + "' inside quoted value of CSV field. To allow unescaped quotes, set 'parseUnescapedQuotes' to 'true' in the CSV parser settings. Cannot parse CSV input."); } } output.append(ch); prev = ch; } else if (prev == quoteEscape) { output.append(quote); prev = NULL_BYTE; } else { prev = ch; } ch = input.nextCharNoNewLineCheck(); } // Handles whitespaces after quoted value: // Whitespaces are ignored (i.e., ch <= ' ') if they are not used as delimiters (i.e., ch != ' ') // For example, in tab-separated files (TSV files), '\t' is used as delimiter and should not be ignored // Content after whitespaces may be parsed if 'parseUnescapedQuotes' is enabled. if (ch != newLine && ch <= ' ' && ch != delimiter) { final DrillBuf workBuf = this.workBuf; workBuf.resetWriterIndex(); do { // saves whitespaces after value workBuf.writeByte(ch); ch = input.nextChar(); // found a new line, go to next record. if (ch == newLine) { return; } } while (ch <= ' ' && ch != delimiter); // there's more stuff after the quoted value, not only empty spaces. if (!(ch == delimiter || ch == newLine) && parseUnescapedQuotes) { output.append(quote); for(int i =0; i < workBuf.writerIndex(); i++){ output.append(workBuf.getByte(i)); } // the next character is not the escape character, put it there if (ch != quoteEscape) { output.append(ch); } // sets this character as the previous character (may be escaping) // calls recursively to keep parsing potentially quoted content parseQuotedValue(ch); } } if (!(ch == delimiter || ch == newLine)) { throw new TextParsingException(context, "Unexpected character '" + ch + "' following quoted value of CSV field. Expecting '" + delimiter + "'. Cannot parse CSV input."); } }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2628	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/store/easy/text/compliant/TextReader.java/#L226-L300	2	240	2628
982	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Component getNextComponent(final Container container, final Component component, final FocusTraversalDirection direction) { Utils.checkNull(container, "container"); Utils.checkNull(direction, "direction"); Component nextComponent = null; int n = container.getLength(); if (n > 0) { switch (direction) { case FORWARD: if (component == null) { // Return the first component in the sequence nextComponent = container.get(0); } else { // Return the next component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index < n - 1) { nextComponent = container.get(index + 1); } else { if (wrap) { nextComponent = container.get(0); } } } break; case BACKWARD: if (component == null) { // Return the last component in the sequence nextComponent = container.get(n - 1); } else { // Return the previous component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index > 0) { nextComponent = container.get(index - 1); } else { if (wrap) { nextComponent = container.get(n - 1); } } } break; default: break; } } return nextComponent; }	long method	long method	t	t	t			0	8859	https://github.com/apache/pivot/blob/568543f3396648a646341fe077a714eb06d556c0/wtk/src/org/apache/pivot/wtk/skin/ContainerSkin.java/#L57-L118	1	982	8859
5531	YES, I found bad smells the bad smells are: 1. Long method 2. Data class	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List fromProps(Map m) { List props = new ArrayList(); for (Map.Entry entry : m.entrySet()) { String key = entry.getKey(); Object val = entry.getValue(); PropertyType propEl = new PropertyType(); propEl.setName(key); ObjectFactory factory = new ObjectFactory(); if (val.getClass().isArray()) { ArrayType arrayEl = new ArrayType(); propEl.getContent().add(factory.createArray(arrayEl)); for (Object o : normalizeArray(val)) { setValueType(propEl, o); ValueType valueType = new ValueType(); valueType.getContent().add(o.toString()); arrayEl.getValue().add(valueType); } } else if (val instanceof List) { ArrayType listEl = new ArrayType(); propEl.getContent().add(factory.createList(listEl)); handleCollectionValue((Collection) val, propEl, listEl); } else if (val instanceof Set) { ArrayType setEl = new ArrayType(); propEl.getContent().add(factory.createSet(setEl)); handleCollectionValue((Collection) val, propEl, setEl); } else if (val instanceof String || val instanceof Character || val instanceof Boolean || val instanceof Byte) { setValueType(propEl, val); propEl.setValue(val.toString()); } else if (val instanceof Long || val instanceof Double || val instanceof Float || val instanceof Integer || val instanceof Short) { // various numbers.. maybe "val instanceof Number"? setValueType(propEl, val); propEl.setValue(val.toString()); } else { // Don't add this property as the value type is not supported continue; } props.add(propEl); } return props; }	long method	Long method2 Data class	t	f	t			0	5816	https://github.com/apache/aries-rsa/blob/f5aa5ca62c3948d7e471c3a839089180650cf4f2/discovery/local/src/main/java/org/apache/aries/rsa/discovery/endpoint/PropertiesMapper.java/#L233-L280	1	5531	5816
1293	{"message":"YES I found bad smells","bad_smells":["Long Method","Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public ClientListenerResponse doHandle(OdbcRequest req) { if (!busyLock.enterBusy()) return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Failed to handle ODBC request because node is stopping: " + req); if (actx != null) AuthorizationContext.context(actx); try { switch (req.command()) { case QRY_EXEC: return executeQuery((OdbcQueryExecuteRequest)req); case QRY_EXEC_BATCH: return executeBatchQuery((OdbcQueryExecuteBatchRequest)req); case STREAMING_BATCH: return dispatchBatchOrdered((OdbcStreamingBatchRequest)req); case QRY_FETCH: return fetchQuery((OdbcQueryFetchRequest)req); case QRY_CLOSE: return closeQuery((OdbcQueryCloseRequest)req); case META_COLS: return getColumnsMeta((OdbcQueryGetColumnsMetaRequest)req); case META_TBLS: return getTablesMeta((OdbcQueryGetTablesMetaRequest)req); case META_PARAMS: return getParamsMeta((OdbcQueryGetParamsMetaRequest)req); case MORE_RESULTS: return moreResults((OdbcQueryMoreResultsRequest)req); } return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Unsupported ODBC request: " + req); } finally { AuthorizationContext.clear(); busyLock.leaveBusy(); } }	long method	long method, data class	t	t	t	data class		0	10623	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/odbc/odbc/OdbcRequestHandler.java/#L221-L266	1	1293	10623
2180	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void sessionEnd0(@Nullable IgniteInternalTx tx, boolean threwEx) throws IgniteCheckedException { try { if (tx == null) { if (sesLsnrs != null && sesHolder.get().contains(store)) { for (CacheStoreSessionListener lsnr : sesLsnrs) lsnr.onSessionEnd(locSes, !threwEx); } if (!sesHolder.get().ended(store)) store.sessionEnd(!threwEx); } } catch (Exception e) { if (!threwEx) throw U.cast(e); } finally { if (sesHolder != null) sesHolder.set(null); } }	long method	Long method2 Feature envy	t	f	t			0	13413	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/store/GridCacheStoreManagerAdapter.java/#L928-L948	2	2180	13413
4048	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: long recoverDrf(OplogEntryIdSet deletedIds, boolean alreadyRecoveredOnce, boolean latestOplog) { File drfFile = this.drf.f; if (drfFile == null) { this.haveRecoveredDrf = true; return 0L; } lockCompactor(); try { if (this.haveRecoveredDrf && !getHasDeletes()) return 0L; // do this while holding lock if (!this.haveRecoveredDrf) { this.haveRecoveredDrf = true; } logger.info("Recovering {} {} for disk store {}.", new Object[] {toString(), drfFile.getAbsolutePath(), getParent().getName()}); this.recoverDelEntryId = DiskStoreImpl.INVALID_ID; boolean readLastRecord = true; CountingDataInputStream dis = null; try { int recordCount = 0; boolean foundDiskStoreRecord = false; FileInputStream fis = null; try { fis = new FileInputStream(drfFile); dis = new CountingDataInputStream(new BufferedInputStream(fis, 32 * 1024), drfFile.length()); boolean endOfLog = false; while (!endOfLog) { if (dis.atEndOfFile()) { endOfLog = true; break; } readLastRecord = false; byte opCode = dis.readByte(); if (logger.isTraceEnabled(LogMarker.PERSIST_RECOVERY_VERBOSE)) { logger.trace(LogMarker.PERSIST_RECOVERY_VERBOSE, "drf byte={} location={}", opCode, Long.toHexString(dis.getCount())); } switch (opCode) { case OPLOG_EOF_ID: // we are at the end of the oplog. So we need to back up one byte dis.decrementCount(); endOfLog = true; break; case OPLOG_DEL_ENTRY_1ID: case OPLOG_DEL_ENTRY_2ID: case OPLOG_DEL_ENTRY_3ID: case OPLOG_DEL_ENTRY_4ID: case OPLOG_DEL_ENTRY_5ID: case OPLOG_DEL_ENTRY_6ID: case OPLOG_DEL_ENTRY_7ID: case OPLOG_DEL_ENTRY_8ID: readDelEntry(dis, opCode, deletedIds, parent); recordCount++; break; case OPLOG_DISK_STORE_ID: readDiskStoreRecord(dis, this.drf.f); foundDiskStoreRecord = true; recordCount++; break; case OPLOG_MAGIC_SEQ_ID: readOplogMagicSeqRecord(dis, this.drf.f, OPLOG_TYPE.DRF); break; case OPLOG_GEMFIRE_VERSION: readGemfireVersionRecord(dis, this.drf.f); recordCount++; break; case OPLOG_RVV: long idx = dis.getCount(); readRVVRecord(dis, this.drf.f, true, latestOplog); recordCount++; break; default: throw new DiskAccessException( String.format("Unknown opCode %s found in disk operation log.", opCode), getParent()); } readLastRecord = true; // @todo // if (rgn.isDestroyed()) { // break; // } } // while } finally { if (dis != null) { dis.close(); } if (fis != null) { fis.close(); } } if (!foundDiskStoreRecord && recordCount > 0) { throw new DiskAccessException( "The oplog file \"" + this.drf.f + "\" does not belong to the init file \"" + getParent().getInitFile() + "\". Drf did not contain a disk store id.", getParent()); } } catch (EOFException ignore) { // ignore since a partial record write can be caused by a crash } catch (IOException ex) { getParent().getCancelCriterion().checkCancelInProgress(ex); throw new DiskAccessException( String.format("Failed to read file during recovery from %s", drfFile.getPath()), ex, getParent()); } catch (CancelException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Cache was closed", e); } } catch (RegionDestroyedException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Region was destroyed", e); } } // Add the Oplog size to the Directory Holder which owns this oplog, // so that available space is correctly calculated & stats updated. long byteCount = 0; if (!readLastRecord) { // this means that there was a crash // and hence we should not continue to read // the next oplog this.crashed = true; if (dis != null) { byteCount = dis.getFileLength(); } } else { if (dis != null) { byteCount = dis.getCount(); } } if (!alreadyRecoveredOnce) { setRecoveredDrfSize(byteCount); this.dirHolder.incrementTotalOplogSize(byteCount); } return byteCount; } finally { unlockCompactor(); } }	long method	long method	t	t	t			0	10697	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/Oplog.java/#L1448-L1589	1	4048	10697
258	{"message": "YES I found bad smells", "bad smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: int width = (int) Math.ceil(2 / sketch.getRelativeError()); int depth = (int) Math.ceil(-Math.log(1 - sketch.getConfidence()) / Math.log(2)); return new AutoValue_SketchFrequencies_Sketch<>(depth, width, sketch); }	long method	long method	t	t	t			0	2807	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/extensions/sketching/src/main/java/org/apache/beam/sdk/extensions/sketching/SketchFrequencies.java/#L464-L468	1	258	2807
1891	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers (such as 0.0f, 1.0f) 3. Duplicate code within if statements (within if statement for align variable) 4. Single letter variable names (such as v, n) 5. Complex conditionals within if statements (such as align == 0.0f, align == 1.0f) 6. Inconsistent indentation 7. Use of float instead of double for mathematical operations 8. Lack of comments/documentation explaining the purpose of code or variables 9. Lack of error handling 10. Method performing multiple tasks (calculation and setting of variables) 11. Lack of encapsulation (variables and methods are protected instead of private)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void baselineLayout(int targetSpan, int axis, int[] offsets, int[] spans) { int totalAscent = (int)(targetSpan * getAlignment(axis)); int totalDescent = targetSpan - totalAscent; int n = getViewCount(); for (int i = 0; i < n; i++) { View v = getView(i); float align = v.getAlignment(axis); float viewSpan; if (v.getResizeWeight(axis) > 0) { // if resizable then resize to the best fit // the smallest span possible float minSpan = v.getMinimumSpan(axis); // the largest span possible float maxSpan = v.getMaximumSpan(axis); if (align == 0.0f) { // if the alignment is 0 then we need to fit into the descent viewSpan = Math.max(Math.min(maxSpan, totalDescent), minSpan); } else if (align == 1.0f) { // if the alignment is 1 then we need to fit into the ascent viewSpan = Math.max(Math.min(maxSpan, totalAscent), minSpan); } else { // figure out the span that we must fit into float fitSpan = Math.min(totalAscent / align, totalDescent / (1.0f - align)); // fit into the calculated span viewSpan = Math.max(Math.min(maxSpan, fitSpan), minSpan); } } else { // otherwise use the preferred spans viewSpan = v.getPreferredSpan(axis); } offsets[i] = totalAscent - (int)(viewSpan * align); spans[i] = (int)viewSpan; } }	long method	Long method2 Magic numbers (such as 00f,	t	f	t			0	12314	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/javax/swing/text/BoxView.java/#L956-L996	2	1891	12314
2268	YES I found bad smells the bad smells are: 1. Long method 2. Feature Envy 3. Magic Numbers (such as the hardcoded value "80" in the method) 4. Inconsistent coding style (such as the mix of tabs and spaces) 5. Code duplication (such as the duplicate calls to LOG.isTraceEnabled()) 6. Insufficient argument validation (such as not checking if the list passed to handleBulkLoad() is null) 7. Use of deprecated methods (such as FileSystem.get(new URI(), Configuration)) 8. Poor exception handling (such as catching a generic IOException instead of specific exceptions) 9. Poor naming convention (such as the variable names "use" and "useFS" which are similar and could be confusing) 10. Inefficient data structures (such as using nested Map and List structures instead of custom classes) 11. Insufficient comments and documentation (such as not providing javadocs for public methods and classes) 12. Use of raw types (such as Map, List without specifying the types) 13. Poor readability (such as the lack of indentation and the complex nested loops and conditional statements)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("unchecked") protected Map>[] handleBulkLoad(List sTableList) throws IOException { Map>[] mapForSrc = new Map[sTableList.size()]; List activeFiles = new ArrayList<>(); List archiveFiles = new ArrayList<>(); Pair>>>>, List> pair = backupManager.readBulkloadRows(sTableList); Map>>>> map = pair.getFirst(); FileSystem tgtFs; try { tgtFs = FileSystem.get(new URI(backupInfo.getBackupRootDir()), conf); } catch (URISyntaxException use) { throw new IOException("Unable to get FileSystem", use); } Path rootdir = FSUtils.getRootDir(conf); Path tgtRoot = new Path(new Path(backupInfo.getBackupRootDir()), backupId); for (Map.Entry>>>> tblEntry : map.entrySet()) { TableName srcTable = tblEntry.getKey(); int srcIdx = getIndex(srcTable, sTableList); if (srcIdx < 0) { LOG.warn("Couldn't find " + srcTable + " in source table List"); continue; } if (mapForSrc[srcIdx] == null) { mapForSrc[srcIdx] = new TreeMap<>(Bytes.BYTES_COMPARATOR); } Path tblDir = FSUtils.getTableDir(rootdir, srcTable); Path tgtTable = new Path(new Path(tgtRoot, srcTable.getNamespaceAsString()), srcTable.getQualifierAsString()); for (Map.Entry>>> regionEntry : tblEntry.getValue().entrySet()){ String regionName = regionEntry.getKey(); Path regionDir = new Path(tblDir, regionName); // map from family to List of hfiles for (Map.Entry>> famEntry : regionEntry.getValue().entrySet()) { String fam = famEntry.getKey(); Path famDir = new Path(regionDir, fam); List files; if (!mapForSrc[srcIdx].containsKey(Bytes.toBytes(fam))) { files = new ArrayList<>(); mapForSrc[srcIdx].put(Bytes.toBytes(fam), files); } else { files = mapForSrc[srcIdx].get(Bytes.toBytes(fam)); } Path archiveDir = HFileArchiveUtil.getStoreArchivePath(conf, srcTable, regionName, fam); String tblName = srcTable.getQualifierAsString(); Path tgtFam = new Path(new Path(tgtTable, regionName), fam); if (!tgtFs.mkdirs(tgtFam)) { throw new IOException("couldn't create " + tgtFam); } for (Pair fileWithState : famEntry.getValue()) { String file = fileWithState.getFirst(); int idx = file.lastIndexOf("/"); String filename = file; if (idx > 0) { filename = file.substring(idx+1); } Path p = new Path(famDir, filename); Path tgt = new Path(tgtFam, filename); Path archive = new Path(archiveDir, filename); if (fs.exists(p)) { if (LOG.isTraceEnabled()) { LOG.trace("found bulk hfile " + file + " in " + famDir + " for " + tblName); } if (LOG.isTraceEnabled()) { LOG.trace("copying " + p + " to " + tgt); } activeFiles.add(p.toString()); } else if (fs.exists(archive)){ LOG.debug("copying archive " + archive + " to " + tgt); archiveFiles.add(archive.toString()); } files.add(tgt); } } } } copyBulkLoadedFiles(activeFiles, archiveFiles); backupManager.deleteBulkLoadedRows(pair.getSecond()); return mapForSrc; }	long method	Long method2 Feature Envy3 Magic Numbers (such as the hardcoded value "80" in the method)4 Inconsistent coding style (such as the mix of tabs and spaces)5 Code duplication (such as the duplicate calls to LOGisTraceEnabled())6 Insufficient argument validation (such as not checking if the list passed to handleBulkLoad() is null)7 Use of deprecated methods (such as FileSystemget(new URI(), Configuration))8 Poor exception handling (such as catching a generic IOException instead of specific exceptions)9 Poor naming convention (such as the variable names "use" and "useFS" which are similar and could be confusing)	t	f	t	Configuration))8. Poor exception handling (such as catching a generic IOException instead of specific exceptions)9. Poor naming convention (such as the variable names "use" and "useFS" which are similar and could be confusing)		0	13747	https://github.com/apache/hbase/blob/44f8abd5c65c59e9d09f6ad14b3c825f145d8e4f/hbase-backup/src/main/java/org/apache/hadoop/hbase/backup/impl/IncrementalTableBackupClient.java/#L115-L201	2	2268	13747
797	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy:	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	7568	https://github.com/apache/kylin/blob/6ee0212af9d5b50096850c9cb76031b7cdd67402/core-common/src/main/java/org/apache/kylin/common/persistence/JDBCResourceStore.java/#L566-L591	2	797	7568
1282	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ICompletionProposal[] getRelevantProposals( ITextViewer viewer, int offset ) throws BadLocationException { if ( lastProposals != null ) { ArrayList relevantProposals = new ArrayList( 10 ); String word = ( findWord( viewer, offset - 1 ) ).toLowerCase( ); //Search for this word in the list for ( int n = 0; n < lastProposals.length; n++ ) { if ( stripQuotes( lastProposals[n].getDisplayString( ) .toLowerCase( ) ).startsWith( word ) ) { CompletionProposal proposal = new CompletionProposal( lastProposals[n].getDisplayString( ), offset - word.length( ), word.length( ), lastProposals[n].getDisplayString( ).length( ) ); relevantProposals.add( proposal ); } } if ( relevantProposals.size( ) > 0 ) { return (ICompletionProposal[]) relevantProposals.toArray( new ICompletionProposal[]{} ); } } return null; }	long method	long method, feature envy	t	t	t	feature envy		0	10603	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/data/org.eclipse.birt.report.data.oda.jdbc.ui/src/org/eclipse/birt/report/data/oda/jdbc/ui/editors/JdbcSQLContentAssistProcessor.java/#L278-L308	1	1282	10603
1913	YES, I found bad smells The bad smells are: long method, switch statements, feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void set(Object obj, Object value) throws IllegalArgumentException, IllegalAccessException { ensureObj(obj); if (isFinal) { throwFinalFieldIllegalAccessException(value); } if (value == null) { throwSetIllegalArgumentException(value); } if (value instanceof Byte) { unsafe.putInt(obj, fieldOffset, ((Byte) value).byteValue()); return; } if (value instanceof Short) { unsafe.putInt(obj, fieldOffset, ((Short) value).shortValue()); return; } if (value instanceof Character) { unsafe.putInt(obj, fieldOffset, ((Character) value).charValue()); return; } if (value instanceof Integer) { unsafe.putInt(obj, fieldOffset, ((Integer) value).intValue()); return; } throwSetIllegalArgumentException(value); }	long method	long method, switch statements, feature envy	t	f	t	switch statements, feature envy		0	12402	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.base/share/classes/jdk/internal/reflect/UnsafeIntegerFieldAccessorImpl.java/#L72-L99	2	1913	12402
1679	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void log(Operation op, OperationProcessingContext context, String msg, Level logLevel) { String hostId = context.host != null ? context.host.getId() : ""; String path = op.getUri() != null ? op.getUri().getPath() : ""; Filter filter = this.filters.get(context.currentFilterPosition); String filterName = filter != null ? filter.getClass().getSimpleName() : ""; String logMsg = String.format("(host: %s, op %d %s %s) filter %s: %s", hostId, op.getId(), op.getAction(), path, filterName, msg); Level level = logLevel != null ? logLevel : Level.INFO; Utils.log(getClass(), op.getUri().getPath(), level, logMsg); }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11653	https://github.com/vmware/xenon/blob/b6fb48b745985af2efc59b7ee0e5e7d69a289fbc/xenon-common/src/main/java/com/vmware/xenon/common/OperationProcessingChain.java/#L345-L354	1	1679	11653
2112	YES I found bad smells The bad smells are: 1. Long method 2. Repeated code 3. Feature envy 4. Magic numbers 5. Confusing variable names 6. Lack of comments/documentation 7. Use of nested conditional statements 8. Use of multiple unnecessary checks and comparisons 9. Inefficient if-else structure	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public int next() { final int startNode = _startNode; if (_startNode == NULL) { return NULL; } int node = _currentNode; int expType; final int nodeType = _nodeType; if (nodeType != DTM.ELEMENT_NODE) { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType != nodeType); } // %OPT% If the start node is root (e.g. in the case of //node), // we can save the isDescendant() check, because all nodes are // descendants of root. else if (startNode == DTMDefaultBase.ROOTNODE) { do { node++; expType = _exptype2(node); if (NULL == expType) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } else { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } _currentNode = node; return returnNode(makeNodeHandle(node)); }	long method	Long method2 Repeated code3 Feature envy4 Magic numbers5 Confusing variable names6 Lack of comments/documentation7 Use of nested conditional statements8 Use of multiple unnecessary checks and comparisons 9 Inefficient if-else structure	t	f	t			0	13189	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/xalan/third_party/android/platform/external/apache-xml/src/main/java/org/apache/xml/dtm/ref/sax2dtm/SAX2DTM2.java/#L1658-L1719	2	2112	13189
2257	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void parseQuotedValue(byte prev) throws IOException { final byte newLine = this.newLine; final byte delimiter = this.delimiter; final TextOutput output = this.output; final TextInput input = this.input; final byte quote = this.quote; ch = input.nextCharNoNewLineCheck(); while (!(prev == quote && (ch == delimiter || ch == newLine || isWhite(ch)))) { if (ch != quote) { if (prev == quote) { // unescaped quote detected if (parseUnescapedQuotes) { output.append(quote); output.append(ch); parseQuotedValue(ch); break; } else { throw new TextParsingException( context, "Unescaped quote character '" + quote + "' inside quoted value of CSV field. To allow unescaped quotes, set 'parseUnescapedQuotes' to 'true' in the CSV parser settings. Cannot parse CSV input."); } } output.append(ch); prev = ch; } else if (prev == quoteEscape) { output.append(quote); prev = NULL_BYTE; } else { prev = ch; } ch = input.nextCharNoNewLineCheck(); } // Handles whitespaces after quoted value: // Whitespaces are ignored (i.e., ch <= ' ') if they are not used as delimiters (i.e., ch != ' ') // For example, in tab-separated files (TSV files), '\t' is used as delimiter and should not be ignored // Content after whitespaces may be parsed if 'parseUnescapedQuotes' is enabled. if (ch != newLine && ch <= ' ' && ch != delimiter) { final DrillBuf workBuf = this.workBuf; workBuf.resetWriterIndex(); do { // saves whitespaces after value workBuf.writeByte(ch); ch = input.nextChar(); // found a new line, go to next record. if (ch == newLine) { return; } } while (ch <= ' ' && ch != delimiter); // there's more stuff after the quoted value, not only empty spaces. if (!(ch == delimiter || ch == newLine) && parseUnescapedQuotes) { output.append(quote); for(int i =0; i < workBuf.writerIndex(); i++){ output.append(workBuf.getByte(i)); } // the next character is not the escape character, put it there if (ch != quoteEscape) { output.append(ch); } // sets this character as the previous character (may be escaping) // calls recursively to keep parsing potentially quoted content parseQuotedValue(ch); } } if (!(ch == delimiter || ch == newLine)) { throw new TextParsingException(context, "Unexpected character '" + ch + "' following quoted value of CSV field. Expecting '" + delimiter + "'. Cannot parse CSV input."); } }	long method	long method	t	t	t			0	13693	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/store/easy/text/compliant/TextReader.java/#L226-L300	1	2257	13693
577	{ "message": "YES, I found bad smells", "bad smells are": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Action createAction(final ProjectInfo project, final TeamConfiguration team) { Check.notNull(project, "project"); //$NON-NLS-1$ Check.notNull(team, "team"); //$NON-NLS-1$ final String projectGUID = project.getGUID(); // Omit the team name for the default team final String actionName = team.isDefaultTeam() ? project.getName() : MessageFormat.format( Messages.getString("TeamExplorerControl.ProjectSlashTeamFormat"), //$NON-NLS-1$ project.getName(), team.getTeamName()); final Action action = new Action(actionName) { @Override public void run() { final String beforeChangeProjectGUID = context.getCurrentProjectInfo().getGUID(); if (!projectGUID.equals(beforeChangeProjectGUID) || !team.equals(context.getCurrentTeam())) { context.setCurrentProject(projectGUID); context.setCurrentTeam(team); TFSCommonUIClientPlugin.getDefault().projectOrTeamChanged(); // Only invoke this listener if team project changed if (!projectGUID.equals(beforeChangeProjectGUID)) { final boolean tfvc = context.getCurrentProjectInfo().getSourceControlCapabilityFlags().contains( SourceControlCapabilityFlags.TFS); TFSCommonUIClientPlugin.getDefault().sourceControlChanged(tfvc); } } } }; if (projectGUID.equals(context.getCurrentProjectInfo().getGUID()) && team.equals(context.getCurrentTeam())) { action.setChecked(true); } return action; }	long method	blob, long method	t	t	t	blob		0	5782	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.client.common.ui/src/com/microsoft/tfs/client/common/ui/controls/teamexplorer/TeamExplorerControl.java/#L607-L647	1	577	5782
2395	YES I found bad smells the bad smells are: 1. Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void afterValue( K key, V value ) throws LdapException, CursorException { checkNotClosed(); /* * There is a subtle difference between after and before handling * with duplicate key values. Say we have the following tuples: * * (0, 0) * (1, 1) * (1, 2) * (1, 3) * (2, 2) * * If we request an after cursor on (1, 2). We must make sure that * the container cursor does not advance after the entry with key 1 * since this would result in us skip returning (1. 3) on the call to * next which will incorrectly return (2, 2) instead. * * So if the value is null in the element then we don't care about * this obviously since we just want to advance past the duplicate key * values all together. But when it is not null, then we want to * go right before this key instead of after it. */ if ( value == null ) { containerCursor.after( new Tuple>( key, null ) ); } else { containerCursor.before( new Tuple>( key, null ) ); } if ( containerCursor.next() ) { containerTuple.setBoth( containerCursor.get() ); DupsContainer values = containerTuple.getValue(); if ( values.isArrayTree() ) { ArrayTree set = values.getArrayTree(); dupsCursor = new ArrayTreeCursor<>( set ); } else { try { BTree tree = table.getBTree( values.getBTreeRedirect() ); dupsCursor = new KeyBTreeCursor<>( tree, table.getValueComparator() ); } catch ( IOException e ) { throw new CursorException( e ); } } if ( value == null ) { return; } // only advance the dupsCursor if we're on same key if ( table.getKeyComparator().compare( containerTuple.getKey(), key ) == 0 ) { dupsCursor.after( value ); } return; } clearValue(); containerTuple.setKey( null ); containerTuple.setValue( null ); }	long method	Long method	t	f	t			0	14373	https://github.com/apache/directory-server/blob/310007cc1c7eb5415f93bed67d5553bc70980820/jdbm-partition/src/main/java/org/apache/directory/server/core/partition/impl/btree/jdbm/DupsCursor.java/#L174-L247	2	2395	14373
3797	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Transactional(propagation = Propagation.MANDATORY) public Map> loadBookmarkItemsByBookmarkIds(Collection bookmarkIds) { if (bookmarkIds == null || bookmarkIds.isEmpty()) { return Collections.emptyMap(); } Long listId = daoHelper.createTempLongList(bookmarkIds); Map> itemsMap = new HashMap<>(); getJdbcTemplate().query(loadBookmarksItemsQuery, rs -> { BiologicalDataItem dataItem = BiologicalDataItemDao.BiologicalDataItemParameters.getRowMapper() .mapRow(rs, 0); long bookmarkId = rs.getLong(BookmarkItemParameters.BOOKMARK_ID.name()); if (!itemsMap.containsKey(bookmarkId)) { itemsMap.put(bookmarkId, new ArrayList<>()); } itemsMap.get(bookmarkId).add(dataItem); }, listId); daoHelper.clearTempList(listId); return itemsMap; }	long method	Long method2 Feature envy	t	f	t			0	9604	https://github.com/epam/NGB/blob/340504529fc576eeec92fbae636e437ce486cc4a/server/catgenome/src/main/java/com/epam/catgenome/dao/reference/BookmarkDao.java/#L184-L205	2	3797	9604
2582	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	Long method 2 Feature envy	t	f	t			0	14956	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	2	2582	14956
1951	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy (Multiple calls to isSet methods on external objects)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean equals(TListSentryPrivilegesRequest that) { if (that == null) return false; boolean this_present_protocol_version = true; boolean that_present_protocol_version = true; if (this_present_protocol_version || that_present_protocol_version) { if (!(this_present_protocol_version && that_present_protocol_version)) return false; if (this.protocol_version != that.protocol_version) return false; } boolean this_present_requestorUserName = true && this.isSetRequestorUserName(); boolean that_present_requestorUserName = true && that.isSetRequestorUserName(); if (this_present_requestorUserName || that_present_requestorUserName) { if (!(this_present_requestorUserName && that_present_requestorUserName)) return false; if (!this.requestorUserName.equals(that.requestorUserName)) return false; } boolean this_present_roleName = true && this.isSetRoleName(); boolean that_present_roleName = true && that.isSetRoleName(); if (this_present_roleName || that_present_roleName) { if (!(this_present_roleName && that_present_roleName)) return false; if (!this.roleName.equals(that.roleName)) return false; } boolean this_present_authorizableHierarchy = true && this.isSetAuthorizableHierarchy(); boolean that_present_authorizableHierarchy = true && that.isSetAuthorizableHierarchy(); if (this_present_authorizableHierarchy || that_present_authorizableHierarchy) { if (!(this_present_authorizableHierarchy && that_present_authorizableHierarchy)) return false; if (!this.authorizableHierarchy.equals(that.authorizableHierarchy)) return false; } return true; }	long method	Long method2 Feature envy (Multiple calls to isSet methods on external objects)	t	f	t			0	12534	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-provider/sentry-provider-db/src/gen/thrift/gen-javabean/org/apache/sentry/provider/db/service/thrift/TListSentryPrivilegesRequest.java/#L360-L401	2	1951	12534
1497	YES I found bad smells The bad smells are: 1. Long method 2. Magic string 3. Repeated code 4. Lack of abstraction 5. Feature envy 6. Large block of code 7. Poorly named variables and methods 8. Explicit type declaration (should use var instead)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void testGroupByOrderPreservingDescSort() throws Exception { Properties props = PropertiesUtil.deepCopy(TEST_PROPERTIES); Connection conn = DriverManager.getConnection(getUrl(), props); String tableName = generateUniqueName(); conn.createStatement().execute("CREATE TABLE " + tableName + " (k1 char(1) not null, k2 char(1) not null," + " constraint pk primary key (k1,k2)) split on ('ac','jc','nc')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('a', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('j', 'd')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'a')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'b')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'c')"); conn.createStatement().execute("UPSERT INTO " + tableName + " VALUES('n', 'd')"); conn.commit(); QueryBuilder queryBuilder = new QueryBuilder() .setSelectExpression("K1,COUNT(*)") .setSelectColumns(Lists.newArrayList("K1")) .setFullTableName(tableName) .setGroupByClause("K1") .setOrderByClause("K1 DESC"); ResultSet rs = executeQuery(conn, queryBuilder); assertTrue(rs.next()); assertEquals("n", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("j", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertTrue(rs.next()); assertEquals("a", rs.getString(1)); assertEquals(4, rs.getLong(2)); assertFalse(rs.next()); String expectedPhoenixPlan = "CLIENT PARALLEL 1-WAY REVERSE FULL SCAN OVER " + tableName + "\n" + " SERVER FILTER BY FIRST KEY ONLY\n" + " SERVER AGGREGATE INTO ORDERED DISTINCT ROWS BY [K1]"; validateQueryPlan(conn, queryBuilder, expectedPhoenixPlan, null); }	long method	Long method2 Magic string3 Repeated code4 Lack of abstraction5 Feature envy6 Large block of code7 Poorly named variables and methods8 Explicit type declaration (should use var instead)	t	f	t			0	11126	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/it/java/org/apache/phoenix/end2end/BaseAggregateIT.java/#L386-L427	2	1497	11126
5494	{"output": "YES, I found bad smells. The bad smells are: 1. Long method, 2. Feature envy"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void writeEdge(I srcId, V srcValue, Edge edge) throws IOException, InterruptedException { if (txcounter == txsize) { txcounter = 0; isFirstElement = true; stopConnection(); startConnection(); } try { JSONObject jsonEdge; String suffix; /* extract the JSON object of the vertex */ jsonEdge = getEdge(srcId, srcValue, edge); /* determine the suffix to add the object into the JSON array */ if (isFirstElement) { isFirstElement = false; suffix = ""; } else { suffix = ","; } rexsterBufferedStream.write(suffix + jsonEdge); txcounter += 1; } catch (JSONException e) { throw new InterruptedException("Error writing the edge: " + e.getMessage()); } }	long method	1. long method, 2. feature envy	t	t	f	2. feature envy	long method	0	2683	https://github.com/apache/giraph/blob/d3bf4a2cf5347f7cfd9d217b216c906cb7801217/giraph-rexster/giraph-rexster-io/src/main/java/org/apache/giraph/rexster/io/RexsterEdgeOutputFormat.java/#L167-L198	2	5494	2683
2463	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Object invoke(String methodName, Object returnValueIfNonExistent, Class[] paramTypes, Object[] params) throws DocletInvokeException { Method meth; try { meth = docletClass.getMethod(methodName, paramTypes); } catch (NoSuchMethodException exc) { if (returnValueIfNonExistent == null) { messager.error(Messager.NOPOS, "main.doclet_method_not_found", docletClassName, methodName); throw new DocletInvokeException(); } else { return returnValueIfNonExistent; } } catch (SecurityException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } if (!Modifier.isStatic(meth.getModifiers())) { messager.error(Messager.NOPOS, "main.doclet_method_must_be_static", docletClassName, methodName); throw new DocletInvokeException(); } ClassLoader savedCCL = Thread.currentThread().getContextClassLoader(); try { if (appClassLoader != null) // will be null if doclet class provided via API Thread.currentThread().setContextClassLoader(appClassLoader); return meth.invoke(null , params); } catch (IllegalArgumentException | NullPointerException exc) { messager.error(Messager.NOPOS, "main.internal_error_exception_thrown", docletClassName, methodName, exc.toString()); throw new DocletInvokeException(); } catch (IllegalAccessException exc) { messager.error(Messager.NOPOS, "main.doclet_method_not_accessible", docletClassName, methodName); throw new DocletInvokeException(); } catch (InvocationTargetException exc) { Throwable err = exc.getTargetException(); if (apiMode) throw new ClientCodeException(err); if (err instanceof java.lang.OutOfMemoryError) { messager.error(Messager.NOPOS, "main.out.of.memory"); } else { messager.error(Messager.NOPOS, "main.exception_thrown", docletClassName, methodName, exc.toString()); exc.getTargetException().printStackTrace(System.err); } throw new DocletInvokeException(); } finally { Thread.currentThread().setContextClassLoader(savedCCL); } }	long method	long method	t	t	t			0	14551	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.javadoc/share/classes/com/sun/tools/javadoc/main/DocletInvoker.java/#L303-L357	1	2463	14551
1665	{ "output": { "message": "YES, I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] } }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void addOutputContainerData() { @SuppressWarnings("resource") final VarCharVector fragmentIdVector = (VarCharVector) container.getValueAccessorById( VarCharVector.class, container.getValueVectorId(SchemaPath.getSimplePath("Fragment")).getFieldIds()) .getValueVector(); AllocationHelper.allocate(fragmentIdVector, 1, 50); @SuppressWarnings("resource") final BigIntVector summaryVector = (BigIntVector) container.getValueAccessorById(BigIntVector.class, container.getValueVectorId(SchemaPath.getSimplePath("Number of records written")).getFieldIds()) .getValueVector(); AllocationHelper.allocate(summaryVector, 1, 8); fragmentIdVector.getMutator().setSafe(0, fragmentUniqueId.getBytes()); fragmentIdVector.getMutator().setValueCount(1); summaryVector.getMutator().setSafe(0, counter); summaryVector.getMutator().setValueCount(1); container.setRecordCount(1); }	long method	Long Method, Data Class	t	f	t	Data Class		0	11622	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/WriterRecordBatch.java/#L138-L156	1	1665	11622
448	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void walker(List> finalResult, final List> input, List listSoFar, final int level) throws SemanticException { // Base case. if (level == (input.size() - 1)) { assert (input.get(level) != null) : "Unique skewed element list has null list in " + level + "th position."; for (String v : input.get(level)) { List oneCompleteIndex = new ArrayList(listSoFar); oneCompleteIndex.add(v); finalResult.add(oneCompleteIndex); } return; } // Recursive. for (String v : input.get(level)) { List clonedListSoFar = new ArrayList(listSoFar); clonedListSoFar.add(v); int nextLevel = level + 1; walker(finalResult, input, clonedListSoFar, nextLevel); } }	long method	Long method2 Feature envy	t	f	t			0	4366	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/listbucketingpruner/ListBucketingPruner.java/#L612-L633	2	448	4366
5166	{"message": "YES I found bad smells\nthe bad smells are: 4. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	4. long method	t	t	t			0	14457	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	1	5166	14457
197	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: // System.out.println(" skip rewind!"); // } } assert length == f.prefix; assert termOrd == f.termOrdOrig; } else { f.nextEnt = -1; f.prefix = length; f.state.termBlockOrd = 0; f.termOrdOrig = termOrd; // System.out.println("set termOrdOrig=" + termOrd); f.termOrd = termOrd; f.fpOrig = f.fp = fp; f.lastSubFP = -1; // if (DEBUG) { // final int sav = term.length; // term.length = length; // System.out.println(" push new frame ord=" + f.ord + " fp=" + f.fp + " hasTerms=" + f.hasTerms + " isFloor=" + f.isFloor + " pref=" + brToString(term)); // term.length = sav; // } } return f; } // asserts only private boolean clearEOF() { eof = false; return true; } // asserts only private boolean setEOF() { eof = true; return true;	long method	1. long method	t	t	t			0	2237	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/codecs/src/java/org/apache/lucene/codecs/blocktreeords/OrdsSegmentTermsEnum.java/#L174-L208	1	197	2237
2117	{"response": "YES I found bad smells", "detected_bad_smells": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void configure(Context context) { this.headerName = context.getString(CONFIG_MULTIPLEX_HEADER_NAME, DEFAULT_MULTIPLEX_HEADER); Map channelNameMap = getChannelNameMap(); defaultChannels = getChannelListFromNames( context.getString(CONFIG_DEFAULT_CHANNEL), channelNameMap); Map mapConfig = context.getSubProperties(CONFIG_PREFIX_MAPPING); channelMapping = new HashMap>(); for (String headerValue : mapConfig.keySet()) { List configuredChannels = getChannelListFromNames( mapConfig.get(headerValue), channelNameMap); //This should not go to default channel(s) //because this seems to be a bad way to configure. if (configuredChannels.size() == 0) { throw new FlumeException("No channel configured for when " + "header value is: " + headerValue); } if (channelMapping.put(headerValue, configuredChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } //If no mapping is configured, it is ok. //All events will go to the default channel(s). Map optionalChannelsMapping = context.getSubProperties(CONFIG_PREFIX_OPTIONAL + "."); optionalChannels = new HashMap>(); for (String hdr : optionalChannelsMapping.keySet()) { List confChannels = getChannelListFromNames( optionalChannelsMapping.get(hdr), channelNameMap); if (confChannels.isEmpty()) { confChannels = EMPTY_LIST; } //Remove channels from optional channels, which are already //configured to be required channels. List reqdChannels = channelMapping.get(hdr); //Check if there are required channels, else defaults to default channels if (reqdChannels == null || reqdChannels.isEmpty()) { reqdChannels = defaultChannels; } for (Channel c : reqdChannels) { if (confChannels.contains(c)) { confChannels.remove(c); } } if (optionalChannels.put(hdr, confChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } }	long method	1. long method	t	t	t			0	13197	https://github.com/apache/flume/blob/7d3396f26dc1541e9d2a540d50d15a15c38acb74/flume-ng-core/src/main/java/org/apache/flume/channel/MultiplexingChannelSelector.java/#L83-L145	1	2117	13197
199	{ "response": "YES I found bad smells", "bad smells are": [ "Long method", "Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean r_prelude() { int among_var; int v_1; int v_2; int v_3; int v_4; int v_5; // (, line 34 // test, line 35 v_1 = cursor; // repeat, line 35 replab0: while(true) { v_2 = cursor; lab1: do { // (, line 35 // [, line 36 bra = cursor; // substring, line 36 among_var = find_among(a_0, 7); if (among_var == 0) { break lab1; } // ], line 36 ket = cursor; switch(among_var) { case 0: break lab1; case 1: // (, line 37 // <-, line 37 slice_from("\u00E0"); break; case 2: // (, line 38 // <-, line 38 slice_from("\u00E8"); break; case 3: // (, line 39 // <-, line 39 slice_from("\u00EC"); break; case 4: // (, line 40 // <-, line 40 slice_from("\u00F2"); break; case 5: // (, line 41 // <-, line 41 slice_from("\u00F9"); break; case 6: // (, line 42 // <-, line 42 slice_from("qU"); break; case 7: // (, line 43 // next, line 43 if (cursor >= limit) { break lab1; } cursor++; break; } continue replab0; } while (false); cursor = v_2; break replab0; } cursor = v_1; // repeat, line 46 replab2: while(true) { v_3 = cursor; lab3: do { // goto, line 46 golab4: while(true) { v_4 = cursor; lab5: do { // (, line 46 if (!(in_grouping(g_v, 97, 249))) { break lab5; } // [, line 47 bra = cursor; // or, line 47 lab6: do { v_5 = cursor; lab7: do { // (, line 47 // literal, line 47 if (!(eq_s(1, "u"))) { break lab7; } // ], line 47 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab7; } // <-, line 47 slice_from("U"); break lab6; } while (false); cursor = v_5; // (, line 48 // literal, line 48 if (!(eq_s(1, "i"))) { break lab5; } // ], line 48 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab5; } // <-, line 48 slice_from("I"); } while (false); cursor = v_4; break golab4; } while (false); cursor = v_4; if (cursor >= limit) { break lab3; } cursor++; } continue replab2; } while (false); cursor = v_3; break replab2; } return true; }	long method	long method, feature envy	t	t	t	feature envy		0	2241	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/common/src/java/org/tartarus/snowball/ext/ItalianStemmer.java/#L257-L401	2	199	2241
995	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Blob"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void startElement(String uri, String localName, String qName, Attributes attributes) throws SAXException { if (delegate != null) { delegateStack.push(qName); delegate.startElement(uri, localName, qName, attributes); } else if (domImplementation != null) { //domImplementation is set so we need to start a new DOM building sub-process TransformerHandler handler; try { handler = tFactory.newTransformerHandler(); } catch (TransformerConfigurationException e) { throw new SAXException("Error creating a new TransformerHandler", e); } Document doc = domImplementation.createDocument(uri, qName, null); //It's easier to work with an empty document, so remove the root element doc.removeChild(doc.getDocumentElement()); handler.setResult(new DOMResult(doc)); Area parent = (Area)areaStack.peek(); ((ForeignObject)parent).setDocument(doc); //activate delegate for nested foreign document domImplementation = null; //Not needed anymore now this.delegate = handler; delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { boolean handled = true; if ("".equals(uri)) { if (localName.equals("structureTree")) { /* The area tree parser no longer supports the structure tree. */ delegate = new DefaultHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = startAreaTreeElement(localName, attributes); } } else { ContentHandlerFactoryRegistry registry = userAgent.getContentHandlerFactoryRegistry(); ContentHandlerFactory factory = registry.getFactory(uri); if (factory != null) { delegate = factory.createContentHandler(); delegateStack.push(qName); delegate.startDocument(); delegate.startElement(uri, localName, qName, attributes); } else { handled = false; } } if (!handled) { if (uri == null || uri.length() == 0) { throw new SAXException("Unhandled element " + localName + " in namespace: " + uri); } else { log.warn("Unhandled element " + localName + " in namespace: " + uri); } } } }	long method	long method, blob	t	t	t	blob		0	9092	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/area/AreaTreeParser.java/#L260-L323	1	995	9092
1559	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	Long Method, Blob	t	f	t	Blob		0	11300	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	1	1559	11300
782	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void set(Object obj, Object value) throws IllegalArgumentException, IllegalAccessException { ensureObj(obj); if (isFinal) { throwFinalFieldIllegalAccessException(value); } if (value == null) { throwSetIllegalArgumentException(value); } if (value instanceof Byte) { unsafe.putInt(obj, fieldOffset, ((Byte) value).byteValue()); return; } if (value instanceof Short) { unsafe.putInt(obj, fieldOffset, ((Short) value).shortValue()); return; } if (value instanceof Character) { unsafe.putInt(obj, fieldOffset, ((Character) value).charValue()); return; } if (value instanceof Integer) { unsafe.putInt(obj, fieldOffset, ((Integer) value).intValue()); return; } throwSetIllegalArgumentException(value); }	long method	long method	t	t	t			0	7477	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.base/share/classes/jdk/internal/reflect/UnsafeIntegerFieldAccessorImpl.java/#L72-L99	1	782	7477
1878	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void buildContent( ) { // Defines provider. IDescriptorProvider nameProvider = new TextPropertyDescriptorProvider( IDesignElementModel.NAME_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); // Defines section. TextSection nameSection = new TextSection( nameProvider.getDisplayName( ), container, true ); nameSection.setProvider( nameProvider ); nameSection.setLayoutNum( 6 ); nameSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_NAME, nameSection ); //$NON-NLS-1$ ComboPropertyDescriptorProvider variableTypeProvider = new ComboPropertyDescriptorProvider( IVariableElementModel.TYPE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); variableTypeProvider.enableReset( true ); ComboSection variableTypeSection = new ComboSection( variableTypeProvider.getDisplayName( ), container, true ); variableTypeSection.setProvider( variableTypeProvider ); variableTypeSection.setLayoutNum( 6 ); variableTypeSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_TYPE, variableTypeSection ); ExpressionPropertyDescriptorProvider variableValueProvider = new ExpressionPropertyDescriptorProvider( IVariableElementModel.VALUE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); ExpressionSection variableValueSection = new ExpressionSection( variableValueProvider.getDisplayName( ), container, true ); variableValueSection.setMulti(false); variableValueSection.setProvider( variableValueProvider ); variableValueSection.setWidth( 500 ); variableValueSection.setLayoutNum( 6 ); addSection( PageSectionId.VARIABLE_VALUE, variableValueSection ); }	long method	Long method2 Feature envy	t	f	t			0	12273	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.views/src/org/eclipse/birt/report/designer/internal/ui/views/attributes/page/VariablePage.java/#L32-L74	2	1878	12273
709	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private int encode0(byte[] src, int off, int end, byte[] dst) { char[] base64 = isURL ? toBase64URL : toBase64; int sp = off; int slen = (end - off) / 3 * 3; int sl = off + slen; if (linemax > 0 && slen > linemax / 4 * 3) slen = linemax / 4 * 3; int dp = 0; while (sp < sl) { int sl0 = Math.min(sp + slen, sl); for (int sp0 = sp, dp0 = dp ; sp0 < sl0; ) { int bits = (src[sp0++] & 0xff) << 16 | (src[sp0++] & 0xff) << 8 | (src[sp0++] & 0xff); dst[dp0++] = (byte)base64[(bits >>> 18) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 12) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 6) & 0x3f]; dst[dp0++] = (byte)base64[bits & 0x3f]; } int dlen = (sl0 - sp) / 3 * 4; dp += dlen; sp = sl0; if (dlen == linemax && sp < end) { for (byte b : newline){ dst[dp++] = b; } } } if (sp < end) { // 1 or 2 leftover bytes int b0 = src[sp++] & 0xff; dst[dp++] = (byte)base64[b0 >> 2]; if (sp == end) { dst[dp++] = (byte)base64[(b0 << 4) & 0x3f]; if (doPadding) { dst[dp++] = '='; dst[dp++] = '='; } } else { int b1 = src[sp++] & 0xff; dst[dp++] = (byte)base64[(b0 << 4) & 0x3f | (b1 >> 4)]; dst[dp++] = (byte)base64[(b1 << 2) & 0x3f]; if (doPadding) { dst[dp++] = '='; } } } return dp; }	long method	Long method2 Feature envy	t	f	t			0	6757	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/java/util/Base64.java/#L391-L438	2	709	6757
653	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void run( IAction action ) { if ( !preGenerate( ) ) { return; } IFile file = getSelectedFile( ); if ( file != null ) { String url = file.getLocation( ).toOSString( ); Map options = new HashMap( ); options.put( WebViewer.RESOURCE_FOLDER_KEY, ReportPlugin.getDefault( ) .getResourceFolder( file.getProject( ) ) ); options.put( WebViewer.SERVLET_NAME_KEY, WebViewer.VIEWER_DOCUMENT ); Object adapter = ElementAdapterManager.getAdapter( action, IPreviewAction.class ); if ( adapter instanceof IPreviewAction ) { IPreviewAction delegate = (IPreviewAction) adapter; delegate.setProperty( IPreviewConstants.REPORT_PREVIEW_OPTIONS, options ); delegate.setProperty( IPreviewConstants.REPORT_FILE_PATH, url ); delegate.run( ); return; } try { WebViewer.display( url, options ); } catch ( Exception e ) { ExceptionUtil.handle( e ); return; } } else { action.setEnabled( false ); } }	long method	Long method2 Feature envy	t	f	t			0	6389	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.preview.web/src/org/eclipse/birt/report/designer/ui/ide/navigator/GenerateDocumentAction.java/#L39-L87	2	653	6389
232	{"message": "YES, I found bad smells", "bad smells are": ["Long method", "Feature envy"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public GSSCredentialSpi getCredentialElement(GSSNameSpi name, int initLifetime, int acceptLifetime, int usage) throws GSSException { if (name != null && !(name instanceof GssNameElement)) { name = GssNameElement.getInstance(name.toString(), name.getStringNameType()); } GssCredElement credElement; if (usage == GSSCredential.INITIATE_ONLY) { credElement = GssInitCred.getInstance(caller, (GssNameElement) name, initLifetime); } else if (usage == GSSCredential.ACCEPT_ONLY) { credElement = GssAcceptCred.getInstance(caller, (GssNameElement) name, acceptLifetime); } else if (usage == GSSCredential.INITIATE_AND_ACCEPT) { throw new GSSException(GSSException.FAILURE, -1, "Unsupported usage mode: INITIATE_AND_ACCEPT"); } else { throw new GSSException(GSSException.FAILURE, -1, "Unknown usage mode: " + usage); } return credElement; }	long method	long method, feature envy	t	t	t	feature envy		0	2538	https://github.com/apache/directory-kerby/blob/19fa650424f60d23d1c1bf0af4bb80ffcb8d8843/kerby-kerb/kerb-gssapi/src/main/java/org/apache/kerby/kerberos/kerb/gss/GssMechFactory.java/#L113-L135	2	232	2538
1154	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public int setPath(Path2D path) { Rectangle2D bounds = path.getBounds2D(); PathIterator it = path.getPathIterator(null); List segInfo = new ArrayList<>(); List pntInfo = new ArrayList<>(); boolean isClosed = false; int numPoints = 0; while (!it.isDone()) { double[] vals = new double[6]; int type = it.currentSegment(vals); switch (type) { case PathIterator.SEG_MOVETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_MOVETO); numPoints++; break; case PathIterator.SEG_LINETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); numPoints++; break; case PathIterator.SEG_CUBICTO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); pntInfo.add(new Point2D.Double(vals[2], vals[3])); pntInfo.add(new Point2D.Double(vals[4], vals[5])); segInfo.add(SEGMENTINFO_CUBICTO); segInfo.add(SEGMENTINFO_ESCAPE2); numPoints++; break; case PathIterator.SEG_QUADTO: //TODO: figure out how to convert SEG_QUADTO into SEG_CUBICTO LOG.log(POILogger.WARN, "SEG_QUADTO is not supported"); break; case PathIterator.SEG_CLOSE: pntInfo.add(pntInfo.get(0)); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_CLOSE); isClosed = true; numPoints++; break; default: LOG.log(POILogger.WARN, "Ignoring invalid segment type "+type); break; } it.next(); } if(!isClosed) { segInfo.add(SEGMENTINFO_LINETO); } segInfo.add(SEGMENTINFO_END); AbstractEscherOptRecord opt = getEscherOptRecord(); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__SHAPEPATH, 0x4)); EscherArrayProperty verticesProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__VERTICES + 0x4000), false, null); verticesProp.setNumberOfElementsInArray(pntInfo.size()); verticesProp.setNumberOfElementsInMemory(pntInfo.size()); verticesProp.setSizeOfElements(8); for (int i = 0; i < pntInfo.size(); i++) { Point2D.Double pnt = pntInfo.get(i); byte[] data = new byte[8]; LittleEndian.putInt(data, 0, Units.pointsToMaster(pnt.getX() - bounds.getX())); LittleEndian.putInt(data, 4, Units.pointsToMaster(pnt.getY() - bounds.getY())); verticesProp.setElement(i, data); } opt.addEscherProperty(verticesProp); EscherArrayProperty segmentsProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__SEGMENTINFO + 0x4000), false, null); segmentsProp.setNumberOfElementsInArray(segInfo.size()); segmentsProp.setNumberOfElementsInMemory(segInfo.size()); segmentsProp.setSizeOfElements(0x2); for (int i = 0; i < segInfo.size(); i++) { byte[] seg = segInfo.get(i); segmentsProp.setElement(i, seg); } opt.addEscherProperty(segmentsProp); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__RIGHT, Units.pointsToMaster(bounds.getWidth()))); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__BOTTOM, Units.pointsToMaster(bounds.getHeight()))); opt.sortProperties(); setAnchor(bounds); return numPoints; }	long method	long method, feature envy	t	t	t	feature envy		0	10137	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/scratchpad/src/org/apache/poi/hslf/usermodel/HSLFFreeformShape.java/#L107-L198	1	1154	10137
766	YES I found bad smells The bad smells are: 1. Long method 2. Duplicate code 3. Primitive obsession 4. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void validateArrayStep(String arrStep) throws QueryException { boolean wildAllowed = true; // * is allowed initially boolean digitAllowed = true; // Digit is allowed as next char boolean commaAllowed = false; // Comma is allowed as next char boolean afterDigit = false; // Last non-space was a digit boolean toAllowed = false; // Any space after digit allows "to" boolean afterTo = false; // After "to" expecting range end boolean toInProgress = false; // Prior char was 't' in "to" boolean spaceRequired = false; // A whitespace is required (after "to") boolean digitRequired = false; // Digit required after comma or "to" for (int i = 1; i < arrStep.length() - 1; ++i) { char currentChar = arrStep.charAt(i); if (currentChar == '*') { if (!wildAllowed) throwArrayException(arrStep); wildAllowed = false; // We've seen the only allowed wildcard digitAllowed = false; // Only whitespace is allowed afterward } else if (currentChar == ',') { if (!commaAllowed) throwArrayException(arrStep); commaAllowed = false; toAllowed = false; afterDigit = false; afterTo = false; digitRequired = true; // Next non-space must be a digit } else if ("0123456789".indexOf(currentChar) >= 0) { if (!digitAllowed) throwArrayException(arrStep); wildAllowed = false; // Wildcard no longer allowed commaAllowed = true; afterDigit = true; digitRequired = false; } else if (" \t\n\r".indexOf(currentChar) >= 0) { // Whitespace not allowed when parsing "to" if (toInProgress) throwArrayException(arrStep); if (afterDigit) { // Last non-space was a digit - next non-space is "to" or comma digitAllowed = false; toAllowed = !afterTo; commaAllowed = true; } else if (spaceRequired) { // This is the whitespace required after "to" digitAllowed = true; spaceRequired = false; digitRequired = true; // At least one digit must follow } } else if (currentChar == 't') { if (!toAllowed) throwArrayException(arrStep); toInProgress = true; // Next char must be the 'o' in "to" commaAllowed = false; afterDigit = false; } else if (currentChar == 'o') { if (!toInProgress) throwArrayException(arrStep); toInProgress = false; toAllowed = false; afterTo = true; spaceRequired = true; // "to" must be followed by whitespace } else { // Invalid character throwArrayException(arrStep); } } // Empty array or only whitespace found if (wildAllowed) throwArrayException(arrStep); // Incomplete "to" or comma sequence at end of subscript if (toInProgress || spaceRequired || digitRequired) throwArrayException(arrStep); }	long method	Long method2 Duplicate code3 Primitive obsession4 Feature envy	t	f	t			0	7185	https://github.com/oracle/soda-for-java/blob/352634e26b5a0d9d529d5436f7a4c8e21ed1dbf0/src/oracle/json/parser/PathParser.java/#L138-L239	2	766	7185
1495	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ShardHandler getAndPrepShardHandler(SolrQueryRequest req, ResponseBuilder rb) { ShardHandler shardHandler = null; CoreContainer cc = req.getCore().getCoreContainer(); boolean isZkAware = cc.isZooKeeperAware(); rb.isDistrib = req.getParams().getBool(DISTRIB, isZkAware); if (!rb.isDistrib) { // for back compat, a shards param with URLs like localhost:8983/solr will mean that this // search is distributed. final String shards = req.getParams().get(ShardParams.SHARDS); rb.isDistrib = ((shards != null) && (shards.indexOf('/') > 0)); } if (rb.isDistrib) { shardHandler = shardHandlerFactory.getShardHandler(); shardHandler.prepDistributed(rb); if (!rb.isDistrib) { shardHandler = null; // request is not distributed after all and so the shard handler is not needed } } if (isZkAware) { String shardsTolerant = req.getParams().get(ShardParams.SHARDS_TOLERANT); boolean requireZkConnected = shardsTolerant != null && shardsTolerant.equals(ShardParams.REQUIRE_ZK_CONNECTED); ZkController zkController = cc.getZkController(); boolean zkConnected = zkController != null && ! zkController.getZkClient().getConnectionManager().isLikelyExpired(); if (requireZkConnected && false == zkConnected) { throw new SolrException(SolrException.ErrorCode.SERVER_ERROR, "ZooKeeper is not connected"); } else { NamedList headers = rb.rsp.getResponseHeader(); if (headers != null) { headers.add("zkConnected", zkConnected); } } } return shardHandler; }	long method	long method, feature envy	t	t	t	feature envy		0	11124	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/handler/component/SearchHandler.java/#L211-L248	1	1495	11124
1338	{ "answer": "YES I found bad smells", "the bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private int encode0(byte[] src, int off, int end, byte[] dst) { char[] base64 = isURL ? toBase64URL : toBase64; int sp = off; int slen = (end - off) / 3 * 3; int sl = off + slen; if (linemax > 0 && slen > linemax / 4 * 3) slen = linemax / 4 * 3; int dp = 0; while (sp < sl) { int sl0 = Math.min(sp + slen, sl); for (int sp0 = sp, dp0 = dp ; sp0 < sl0; ) { int bits = (src[sp0++] & 0xff) << 16 | (src[sp0++] & 0xff) << 8 | (src[sp0++] & 0xff); dst[dp0++] = (byte)base64[(bits >>> 18) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 12) & 0x3f]; dst[dp0++] = (byte)base64[(bits >>> 6) & 0x3f]; dst[dp0++] = (byte)base64[bits & 0x3f]; } int dlen = (sl0 - sp) / 3 * 4; dp += dlen; sp = sl0; if (dlen == linemax && sp < end) { for (byte b : newline){ dst[dp++] = b; } } } if (sp < end) { // 1 or 2 leftover bytes int b0 = src[sp++] & 0xff; dst[dp++] = (byte)base64[b0 >> 2]; if (sp == end) { dst[dp++] = (byte)base64[(b0 << 4) & 0x3f]; if (doPadding) { dst[dp++] = '='; dst[dp++] = '='; } } else { int b1 = src[sp++] & 0xff; dst[dp++] = (byte)base64[(b0 << 4) & 0x3f | (b1 >> 4)]; dst[dp++] = (byte)base64[(b1 << 2) & 0x3f]; if (doPadding) { dst[dp++] = '='; } } } return dp; }	long method	long method	t	t	t			0	10733	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/libcore/ojluni/src/main/java/java/util/Base64.java/#L391-L438	1	1338	10733
2180	{ "message": "YES I found bad smells", "bad_smells": [ { "smell": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void sessionEnd0(@Nullable IgniteInternalTx tx, boolean threwEx) throws IgniteCheckedException { try { if (tx == null) { if (sesLsnrs != null && sesHolder.get().contains(store)) { for (CacheStoreSessionListener lsnr : sesLsnrs) lsnr.onSessionEnd(locSes, !threwEx); } if (!sesHolder.get().ended(store)) store.sessionEnd(!threwEx); } } catch (Exception e) { if (!threwEx) throw U.cast(e); } finally { if (sesHolder != null) sesHolder.set(null); } }	long method	smell: long method	t	t	t			0	13413	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/cache/store/GridCacheStoreManagerAdapter.java/#L928-L948	1	2180	13413
1154	YES I found bad smells the bad smells are:1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int setPath(Path2D path) { Rectangle2D bounds = path.getBounds2D(); PathIterator it = path.getPathIterator(null); List segInfo = new ArrayList<>(); List pntInfo = new ArrayList<>(); boolean isClosed = false; int numPoints = 0; while (!it.isDone()) { double[] vals = new double[6]; int type = it.currentSegment(vals); switch (type) { case PathIterator.SEG_MOVETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_MOVETO); numPoints++; break; case PathIterator.SEG_LINETO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); numPoints++; break; case PathIterator.SEG_CUBICTO: pntInfo.add(new Point2D.Double(vals[0], vals[1])); pntInfo.add(new Point2D.Double(vals[2], vals[3])); pntInfo.add(new Point2D.Double(vals[4], vals[5])); segInfo.add(SEGMENTINFO_CUBICTO); segInfo.add(SEGMENTINFO_ESCAPE2); numPoints++; break; case PathIterator.SEG_QUADTO: //TODO: figure out how to convert SEG_QUADTO into SEG_CUBICTO LOG.log(POILogger.WARN, "SEG_QUADTO is not supported"); break; case PathIterator.SEG_CLOSE: pntInfo.add(pntInfo.get(0)); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_ESCAPE); segInfo.add(SEGMENTINFO_LINETO); segInfo.add(SEGMENTINFO_CLOSE); isClosed = true; numPoints++; break; default: LOG.log(POILogger.WARN, "Ignoring invalid segment type "+type); break; } it.next(); } if(!isClosed) { segInfo.add(SEGMENTINFO_LINETO); } segInfo.add(SEGMENTINFO_END); AbstractEscherOptRecord opt = getEscherOptRecord(); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__SHAPEPATH, 0x4)); EscherArrayProperty verticesProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__VERTICES + 0x4000), false, null); verticesProp.setNumberOfElementsInArray(pntInfo.size()); verticesProp.setNumberOfElementsInMemory(pntInfo.size()); verticesProp.setSizeOfElements(8); for (int i = 0; i < pntInfo.size(); i++) { Point2D.Double pnt = pntInfo.get(i); byte[] data = new byte[8]; LittleEndian.putInt(data, 0, Units.pointsToMaster(pnt.getX() - bounds.getX())); LittleEndian.putInt(data, 4, Units.pointsToMaster(pnt.getY() - bounds.getY())); verticesProp.setElement(i, data); } opt.addEscherProperty(verticesProp); EscherArrayProperty segmentsProp = new EscherArrayProperty((short)(EscherProperties.GEOMETRY__SEGMENTINFO + 0x4000), false, null); segmentsProp.setNumberOfElementsInArray(segInfo.size()); segmentsProp.setNumberOfElementsInMemory(segInfo.size()); segmentsProp.setSizeOfElements(0x2); for (int i = 0; i < segInfo.size(); i++) { byte[] seg = segInfo.get(i); segmentsProp.setElement(i, seg); } opt.addEscherProperty(segmentsProp); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__RIGHT, Units.pointsToMaster(bounds.getWidth()))); opt.addEscherProperty(new EscherSimpleProperty(EscherProperties.GEOMETRY__BOTTOM, Units.pointsToMaster(bounds.getHeight()))); opt.sortProperties(); setAnchor(bounds); return numPoints; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	10137	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/scratchpad/src/org/apache/poi/hslf/usermodel/HSLFFreeformShape.java/#L107-L198	2	1154	10137
1173	{ "message": "YES I found bad smells, the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public CallableStatement prepareCall(String sql) throws SQLException { checkState(); PreparedStatementHolder stmtHolder = null; PreparedStatementKey key = new PreparedStatementKey(sql, getCatalog(), MethodType.Precall_1); boolean poolPreparedStatements = holder.isPoolPreparedStatements(); if (poolPreparedStatements) { stmtHolder = holder.getStatementPool().get(key); } if (stmtHolder == null) { try { stmtHolder = new PreparedStatementHolder(key, conn.prepareCall(sql)); holder.getDataSource().incrementPreparedStatementCount(); } catch (SQLException ex) { handleException(ex, sql); } } initStatement(stmtHolder); DruidPooledCallableStatement rtnVal = new DruidPooledCallableStatement(this, stmtHolder); holder.addTrace(rtnVal); return rtnVal; }	long method	1. long method	t	t	t			0	10199	https://github.com/alibaba/druid/blob/768469fe4d1340efe1036453366a58c9ab7e30d1/src/main/java/com/alibaba/druid/pool/DruidPooledConnection.java/#L534-L563	1	1173	10199
1753	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Map< String, String > listLanguages(PageContext pageContext) { Map< String, String > resultMap = new LinkedHashMap<>(); String clientLanguage = ((HttpServletRequest) pageContext.getRequest()).getLocale().toString(); List< String > entries = ClassUtil.classpathEntriesUnder( DIRECTORY ); for( String name : entries ) { if ( name.equals( I18NRESOURCE_EN ) || (name.startsWith( I18NRESOURCE_PREFIX ) && name.endsWith( I18NRESOURCE_SUFFIX ) ) ) { if (name.equals( I18NRESOURCE_EN )) { name = I18NRESOURCE_EN_ID; } else { name = name.substring(I18NRESOURCE_PREFIX.length(), name.lastIndexOf(I18NRESOURCE_SUFFIX)); } Locale locale = new Locale(name.substring(0, 2), ((name.indexOf("_") == -1) ? "" : name.substring(3, 5))); String defaultLanguage = ""; if (clientLanguage.startsWith(name)) { defaultLanguage = LocaleSupport.getLocalizedMessage(pageContext, I18NDEFAULT_LOCALE); } resultMap.put(name, locale.getDisplayName(locale) + " " + defaultLanguage); } } return resultMap; }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11865	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/ui/TemplateManager.java/#L420-L446	1	1753	11865
1753	YES I found bad smells The bad smells are: 1.Long method 2.Magic numbers 3.Coupled design 4.Dead code 5.Inconsistent formatting	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Map< String, String > listLanguages(PageContext pageContext) { Map< String, String > resultMap = new LinkedHashMap<>(); String clientLanguage = ((HttpServletRequest) pageContext.getRequest()).getLocale().toString(); List< String > entries = ClassUtil.classpathEntriesUnder( DIRECTORY ); for( String name : entries ) { if ( name.equals( I18NRESOURCE_EN ) || (name.startsWith( I18NRESOURCE_PREFIX ) && name.endsWith( I18NRESOURCE_SUFFIX ) ) ) { if (name.equals( I18NRESOURCE_EN )) { name = I18NRESOURCE_EN_ID; } else { name = name.substring(I18NRESOURCE_PREFIX.length(), name.lastIndexOf(I18NRESOURCE_SUFFIX)); } Locale locale = new Locale(name.substring(0, 2), ((name.indexOf("_") == -1) ? "" : name.substring(3, 5))); String defaultLanguage = ""; if (clientLanguage.startsWith(name)) { defaultLanguage = LocaleSupport.getLocalizedMessage(pageContext, I18NDEFAULT_LOCALE); } resultMap.put(name, locale.getDisplayName(locale) + " " + defaultLanguage); } } return resultMap; }	long method	Long method2Magic numbers3Coupled design4Dead code 5Inconsistent formatting	t	f	t			0	11865	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/ui/TemplateManager.java/#L420-L446	2	1753	11865
1411	{"message": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void positionWriterAtCheckpoint() { writerChkptDK = new CheckpointDataKey(jobExecutionImpl.getJobInstance().getInstanceId(), step.getId(), CheckpointType.WRITER); CheckpointData writerData = persistenceManagerService.getCheckpointData(writerChkptDK); try { // check for data in backing store if (writerData != null) { byte[] writertoken = writerData.getRestartToken(); TCCLObjectInputStream writerOIS; try { writerProxy.open((Serializable) dataRepresentationService.toJavaRepresentation(writertoken)); } catch (Exception ex) { // is this what I should be throwing here? throw new BatchContainerServiceException("Cannot read the checkpoint data for [" + step.getId() + "]", ex); } } else { // no chkpt data exists in the backing store writerData = null; try { writerProxy.open(null); } catch (Exception ex) { throw new BatchContainerServiceException("Cannot open the step [" + step.getId() + "]", ex); } } } catch (ClassCastException e) { throw new IllegalStateException("Expected CheckpointData but found" + writerData); } }	long method	1. long method	t	t	t			0	10900	https://github.com/apache/incubator-batchee/blob/d4ad6b76d3013a7eb74fbe062aeac305215d6a36/jbatch/src/main/java/org/apache/batchee/container/impl/controller/chunk/ChunkStepController.java/#L1015-L1042	1	1411	10900
1117	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private int addManualRecord(Airing recAir, UIClient uiClient) { // Check to make sure we have an encoder that can receive this station Set tryUs = new HashSet(encoderStateMap.values()); Iterator walker = tryUs.iterator(); // We only need to worry about conflicts with other recordings that occur within the same set of stations. If // encoder A has no intersection with the stations on encoder B; then there's no reason to prompt about conflicts from // that tuner since it won't help resolve scheduling issues. So this set will be all the stations that either directly or // indirectly could resolve a conflict with the new recording. // Due to the indirect nature of this; we have to keep checking through the encoders until this set stops growing in size Set unifiedStationSet = new HashSet(); boolean encoderExists = false; while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (es.stationSet.contains(recAir.stationID)) { encoderExists = true; unifiedStationSet.addAll(es.stationSet); walker.remove(); // to avoid redundant checking below break; } } } if (!encoderExists) return VideoFrame.WATCH_FAILED_NO_ENCODERS_HAVE_STATION; int lastSetSize; do { lastSetSize = unifiedStationSet.size(); walker = tryUs.iterator(); while (walker.hasNext()) { EncoderState es = walker.next(); synchronized (es.stationSet) { if (unifiedStationSet.removeAll(es.stationSet)) { // There was an intersection, so use all of these stations, then ignore this one for later unifiedStationSet.addAll(es.stationSet); walker.remove(); } } } } while (lastSetSize != unifiedStationSet.size() && !tryUs.isEmpty()); long defaultStartPadding = Sage.getLong("default_mr_start_padding", 0); long defaultStopPadding = Sage.getLong("default_mr_stop_padding", 0); long requestedStart = recAir.getStartTime() - defaultStartPadding; long requestedStop = recAir.getEndTime() + defaultStopPadding; long requestedDuration = requestedStop - requestedStart; Airing schedAir = recAir; if (defaultStartPadding != 0 || defaultStopPadding != 0) { schedAir = new Airing(0); schedAir.time = requestedStart; schedAir.duration = requestedDuration; schedAir.stationID = recAir.stationID; schedAir.showID = recAir.showID; } Vector parallelRecords = new Vector(); Vector lastParallel = null; do { parallelRecords.clear(); ManualRecord[] manualMustSee = wiz.getManualRecordsSortedByTime(); Vector parallelRecurs = new Vector(); for (int i = 0; i < manualMustSee.length; i++) { ManualRecord currRec = manualMustSee[i]; if (currRec.getContentAiring() == recAir) return VideoFrame.WATCH_OK; if (currRec.getEndTime() <= Sage.time()) continue; if (currRec.doRecurrencesOverlap(requestedStart, requestedDuration, 0)) { parallelRecords.addElement(manualMustSee[i].getSchedulingAiring()); if (currRec.recur != 0) parallelRecurs.add(currRec); else parallelRecurs.add(null); } } if (parallelRecords.isEmpty()) break; parallelRecords.addElement(schedAir); parallelRecurs.add(null); if (sched.testMultiTunerSchedulingPermutation(parallelRecords)) break; // Remove any recurrence duplicates from the parallel list that is presented to the user for (int i = 0; i < parallelRecurs.size(); i++) { ManualRecord currRecur = parallelRecurs.get(i); if (currRecur == null) continue; for (int j = 0; j < parallelRecords.size(); j++) { if (i == j || parallelRecurs.get(j) == null) continue; ManualRecord otherRecur = parallelRecurs.get(j); if (currRecur.stationID == otherRecur.stationID && currRecur.duration == otherRecur.duration && currRecur.recur == otherRecur.recur && currRecur.isSameRecurrence(otherRecur.startTime)) { parallelRecurs.remove(j); parallelRecords.remove(j); j--; } } } // Conflict exists, we need to kill a recording that's on an encoder that's capable // of recording this // Conflict resolution, ask about what you're going to kill parallelRecords.remove(schedAir); // Remove any items from the conflict options that would not end up in station set overlap either directly or indirectly for (int i = 0; i < parallelRecords.size(); i++) if (!unifiedStationSet.contains(parallelRecords.get(i).stationID)) parallelRecords.remove(i--); // If we have the same conflicts as when we just checked, then bail. Most likely they // aren't processing the Hook correctly and we'll be in an infinite loop. if (lastParallel != null && parallelRecords.equals(lastParallel)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; Object hookRes = (uiClient == null) ? null : uiClient.processUIClientHook("RecordRequestScheduleConflict", new Object[] { recAir, parallelRecords }); if (!(hookRes instanceof Boolean) || !((Boolean) hookRes)) return VideoFrame.WATCH_FAILED_USER_REJECTED_CONFLICT; lastParallel = new Vector(parallelRecords); } while (true); ManualRecord newMR; if (schedAir.getStartTime() < Sage.time()) { int[] errorReturn = new int[1]; EncoderState es = findBestEncoderForNow(schedAir, true, uiClient, errorReturn); if (es == null) { if (errorReturn[0] == 0) errorReturn[0] = VideoFrame.WATCH_FAILED_GENERAL_CANT_FIND_ENCODER; return errorReturn[0]; } synchronized (this) { es = checkForFoundBestEncoderNowRecordSwitch(es, recAir); // Set the acquisition state to manual if it has already started recording MediaFile mf = wiz.getFileForAiring(recAir); if (mf != null) mf.setAcquisitionTech(MediaFile.ACQUISITION_MANUAL); newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); es.forceWatch = newMR.getSchedulingAiring(); es.forceProcessed = false; work(); } } else newMR = wiz.addManualRecord(requestedStart, requestedDuration, 0, recAir.stationID, "", "", recAir.id, 0); PluginEventManager.postEvent(PluginEventManager.MANUAL_RECORD_ADDED, new Object[] { PluginEventManager.VAR_AIRING, newMR.getSchedulingAiring() }); return VideoFrame.WATCH_OK; }	long method	long method	t	t	t			0	9955	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Seeker.java/#L5483-L5646	1	1117	9955
1046	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public List discoverHosts(final AddHostCmd cmd) throws IllegalArgumentException, DiscoveryException, InvalidParameterValueException { Long dcId = cmd.getZoneId(); final Long podId = cmd.getPodId(); final Long clusterId = cmd.getClusterId(); String clusterName = cmd.getClusterName(); final String url = cmd.getUrl(); final String username = cmd.getUsername(); final String password = cmd.getPassword(); final List hostTags = cmd.getHostTags(); dcId = _accountMgr.checkAccessAndSpecifyAuthority(CallContext.current().getCallingAccount(), dcId); // this is for standalone option if (clusterName == null && clusterId == null) { clusterName = "Standalone-" + url; } if (clusterId != null) { final ClusterVO cluster = _clusterDao.findById(clusterId); if (cluster == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("can not find cluster for specified clusterId"); ex.addProxyObject(clusterId.toString(), "clusterId"); throw ex; } else { if (cluster.getGuid() == null) { final List hosts = listAllHostsInCluster(clusterId); if (!hosts.isEmpty()) { final CloudRuntimeException ex = new CloudRuntimeException("Guid is not updated for cluster with specified cluster id; need to wait for hosts in this cluster to come up"); ex.addProxyObject(cluster.getUuid(), "clusterId"); throw ex; } } } } return discoverHostsFull(dcId, podId, clusterId, clusterName, url, username, password, cmd.getHypervisor(), hostTags, cmd.getFullUrlParams(), false); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	9456	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/resource/ResourceManagerImpl.java/#L573-L611	2	1046	9456
1136	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void baselineLayout(int targetSpan, int axis, int[] offsets, int[] spans) { int totalAscent = (int)(targetSpan * getAlignment(axis)); int totalDescent = targetSpan - totalAscent; int n = getViewCount(); for (int i = 0; i < n; i++) { View v = getView(i); float align = v.getAlignment(axis); float viewSpan; if (v.getResizeWeight(axis) > 0) { // if resizable then resize to the best fit // the smallest span possible float minSpan = v.getMinimumSpan(axis); // the largest span possible float maxSpan = v.getMaximumSpan(axis); if (align == 0.0f) { // if the alignment is 0 then we need to fit into the descent viewSpan = Math.max(Math.min(maxSpan, totalDescent), minSpan); } else if (align == 1.0f) { // if the alignment is 1 then we need to fit into the ascent viewSpan = Math.max(Math.min(maxSpan, totalAscent), minSpan); } else { // figure out the span that we must fit into float fitSpan = Math.min(totalAscent / align, totalDescent / (1.0f - align)); // fit into the calculated span viewSpan = Math.max(Math.min(maxSpan, fitSpan), minSpan); } } else { // otherwise use the preferred spans viewSpan = v.getPreferredSpan(axis); } offsets[i] = totalAscent - (int)(viewSpan * align); spans[i] = (int)viewSpan; } }	long method	long method	t	t	t			0	10058	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/javax/swing/text/BoxView.java/#L956-L996	1	1136	10058
1899	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void Blit(SurfaceData src, SurfaceData dst, Composite comp, Region clip, int srcx, int srcy, int dstx, int dsty, int w, int h) { Raster srcRast = src.getRaster(srcx, srcy, w, h); IntegerComponentRaster icr = (IntegerComponentRaster) srcRast; int[] srcPix = icr.getDataStorage(); WritableRaster dstRast = (WritableRaster) dst.getRaster(dstx, dsty, w, h); ColorModel dstCM = dst.getColorModel(); Region roi = CustomComponent.getRegionOfInterest(src, dst, clip, srcx, srcy, dstx, dsty, w, h); SpanIterator si = roi.getSpanIterator(); Object dstPix = null; int srcScan = icr.getScanlineStride(); // assert(icr.getPixelStride() == 1); srcx -= dstx; srcy -= dsty; int[] span = new int[4]; while (si.nextSpan(span)) { int rowoff = (icr.getDataOffset(0) + (srcy + span[1]) * srcScan + (srcx + span[0])); for (int y = span[1]; y < span[3]; y++) { int off = rowoff; for (int x = span[0]; x < span[2]; x++) { dstPix = dstCM.getDataElements(srcPix[off++], dstPix); dstRast.setDataElements(x, y, dstPix); } rowoff += srcScan; } } // REMIND: We need to do something to make sure that dstRast // is put back to the destination (as in the native Release // function) // src.releaseRaster(srcRast); // NOP? // dst.releaseRaster(dstRast); }	long method	Long method2 Feature envy	t	f	t			0	12355	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/sun/java2d/loops/CustomComponent.java/#L171-L213	2	1899	12355
1746	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public NestedLoopJoin(IHyracksTaskContext ctx, FrameTupleAccessor accessorOuter, FrameTupleAccessor accessorInner, ITuplePairComparator comparatorsOuter2Inner, int memSize, IPredicateEvaluator predEval, boolean isLeftOuter, IMissingWriter[] missingWriters) throws HyracksDataException { this.accessorInner = accessorInner; this.accessorOuter = accessorOuter; this.appender = new FrameTupleAppender(); this.tpComparator = comparatorsOuter2Inner; this.outBuffer = new VSizeFrame(ctx); this.innerBuffer = new VSizeFrame(ctx); this.appender.reset(outBuffer, true); if (memSize < 3) { throw new HyracksDataException("Not enough memory is available for Nested Loop Join"); } this.outerBufferMngr = new VariableFrameMemoryManager(new VariableFramePool(ctx, ctx.getInitialFrameSize() * (memSize - 2)), FrameFreeSlotPolicyFactory.createFreeSlotPolicy(EnumFreeSlotPolicy.LAST_FIT, memSize - 2)); this.predEvaluator = predEval; this.isReversed = false; this.isLeftOuter = isLeftOuter; if (isLeftOuter) { int innerFieldCount = this.accessorInner.getFieldCount(); missingTupleBuilder = new ArrayTupleBuilder(innerFieldCount); DataOutput out = missingTupleBuilder.getDataOutput(); for (int i = 0; i < innerFieldCount; i++) { missingWriters[i].writeMissing(out); missingTupleBuilder.addFieldEndOffset(); } } else { missingTupleBuilder = null; } FileReference file = ctx.getJobletContext().createManagedWorkspaceFile(this.getClass().getSimpleName() + this.toString()); runFileWriter = new RunFileWriter(file, ctx.getIoManager()); runFileWriter.open(); }	long method	Long Method, Data Class	t	f	t	Data Class		0	11853	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-dataflow-std/src/main/java/org/apache/hyracks/dataflow/std/join/NestedLoopJoin.java/#L60-L97	1	1746	11853
938	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ICompletionProposal[] getRelevantProposals( ITextViewer viewer, int offset ) throws BadLocationException { if ( lastProposals != null ) { ArrayList relevantProposals = new ArrayList( 10 ); String word = ( findWord( viewer, offset - 1 ) ).toLowerCase( ); //Search for this word in the list for ( int n = 0; n < lastProposals.length; n++ ) { if ( stripQuotes( lastProposals[n].getDisplayString( ) .toLowerCase( ) ).startsWith( word ) ) { CompletionProposal proposal = new CompletionProposal( lastProposals[n].getDisplayString( ), offset - word.length( ), word.length( ), lastProposals[n].getDisplayString( ).length( ) ); relevantProposals.add( proposal ); } } if ( relevantProposals.size( ) > 0 ) { return (ICompletionProposal[]) relevantProposals.toArray( new ICompletionProposal[]{} ); } } return null; }	long method	long method, blob	t	t	t	blob		0	8427	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/data/org.eclipse.birt.report.data.oda.jdbc.ui/src/org/eclipse/birt/report/data/oda/jdbc/ui/editors/JdbcSQLContentAssistProcessor.java/#L278-L308	1	938	8427
1734	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	Long Method	t	f	t			0	11823	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	1	1734	11823
502	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Sampler deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException { JsonNode node = jp.getCodec().readTree(jp); String type = node.get("type").asText(); switch (type) { case "uniform": { double lowerBound = node.get("lower").asDouble(); double upperBound = node.get("upper").asDouble(); checkArgument( lowerBound >= 0, "The lower bound of uniform distribution should be a non-negative number, " + "but found %s.", lowerBound); return fromRealDistribution(new UniformRealDistribution(lowerBound, upperBound)); } case "exp": { double mean = node.get("mean").asDouble(); return fromRealDistribution(new ExponentialDistribution(mean)); } case "normal": { double mean = node.get("mean").asDouble(); double stddev = node.get("stddev").asDouble(); checkArgument( mean >= 0, "The mean of normal distribution should be a non-negative number, but found %s.", mean); return fromRealDistribution(new NormalDistribution(mean, stddev)); } case "const": { double constant = node.get("const").asDouble(); checkArgument( constant >= 0, "The value of constant distribution should be a non-negative number, but found %s.", constant); return fromRealDistribution(new ConstantRealDistribution(constant)); } case "zipf": { double param = node.get("param").asDouble(); final double multiplier = node.has("multiplier") ? node.get("multiplier").asDouble() : 1.0; checkArgument( param > 1, "The parameter of the Zipf distribution should be > 1, but found %s.", param); checkArgument( multiplier >= 0, "The multiplier of the Zipf distribution should be >= 0, but found %s.", multiplier); final ZipfDistribution dist = new ZipfDistribution(100, param); return scaledSampler(fromIntegerDistribution(dist), multiplier); } default: { throw new IllegalArgumentException("Unknown distribution type: " + type); } } }	long method	long method	t	t	t			0	5087	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic/SyntheticOptions.java/#L228-L289	1	502	5087
1440	YES, I found bad smells. The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void setVersions(final VersionTag versionTag) { this.memberId = versionTag.getMemberID(); int eVersion = versionTag.getEntryVersion(); this.entryVersionLowBytes = (short) (eVersion & 0xffff); this.entryVersionHighByte = (byte) ((eVersion & 0xff0000) >> 16); this.regionVersionHighBytes = versionTag.getRegionVersionHighBytes(); this.regionVersionLowBytes = versionTag.getRegionVersionLowBytes(); if (!versionTag.isGatewayTag() && this.distributedSystemId == versionTag.getDistributedSystemId()) { if (getVersionTimeStamp() <= versionTag.getVersionTimeStamp()) { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } else { versionTag.setVersionTimeStamp(getVersionTimeStamp()); } } else { setVersionTimeStamp(versionTag.getVersionTimeStamp()); } this.distributedSystemId = (byte) (versionTag.getDistributedSystemId() & 0xff); }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	10972	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/entries/VersionedStatsRegionEntryOffHeapIntKey.java/#L287-L306	2	1440	10972
2011	{ "result": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean isValidSyntax( Object value ) { String strValue; if ( value == null ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, "null" ) ); } return false; } if ( value instanceof String ) { strValue = ( String ) value; } else if ( value instanceof byte[] ) { strValue = Strings.utf8ToString( ( byte[] ) value ); } else { strValue = value.toString(); } // We must have at least '(cp)', '(xr)' or '(ca)' if ( strValue.length() < 4 ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check the opening and closing parenthesis if ( ( strValue.charAt( 0 ) != '(' ) || ( strValue.charAt( strValue.length() - 1 ) != ')' ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } Set keywords = new HashSet<>(); int len = strValue.length() - 1; boolean needKeyword = true; // for ( int i = 1; i < len; /* */) { // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } int pos = i; // Search for a keyword while ( ( i < len ) && Chars.isAlphaASCII( strValue, pos ) ) { pos++; } if ( pos == i ) { // No keyword : error if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } String keyword = strValue.substring( i, pos ); i = pos; if ( !DSE_BITS.contains( keyword ) ) { // Unknown keyword if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } // Check that the keyword has not been met if ( keywords.contains( keyword ) ) { if ( LOG.isDebugEnabled() ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } return false; } keywords.add( keyword ); needKeyword = false; // Skip spaces while ( ( i < len ) && ( strValue.charAt( i ) == ' ' ) ) { i++; } // Do we have another keyword ? if ( ( i < len ) && ( strValue.charAt( i ) == '$' ) ) { // yes i++; needKeyword = true; } } // We are done if ( LOG.isDebugEnabled() ) { if ( needKeyword ) { LOG.debug( I18n.err( I18n.ERR_13210_SYNTAX_INVALID, value ) ); } else { LOG.debug( I18n.msg( I18n.MSG_13701_SYNTAX_VALID, value ) ); } } return !needKeyword; }	long method	long method, feature envy	t	t	t	feature envy		0	12750	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/schema/syntaxCheckers/DseTypeSyntaxChecker.java/#L133-L273	1	2011	12750
2100	{ "output": "YES I found bad smells. The bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public SystemDiagnosticsDTO createSystemDiagnosticsDto(final SystemDiagnostics sysDiagnostics) { final SystemDiagnosticsDTO dto = new SystemDiagnosticsDTO(); final SystemDiagnosticsSnapshotDTO snapshot = new SystemDiagnosticsSnapshotDTO(); dto.setAggregateSnapshot(snapshot); snapshot.setStatsLastRefreshed(new Date(sysDiagnostics.getCreationTimestamp())); // processors snapshot.setAvailableProcessors(sysDiagnostics.getAvailableProcessors()); snapshot.setProcessorLoadAverage(sysDiagnostics.getProcessorLoadAverage()); // threads snapshot.setDaemonThreads(sysDiagnostics.getDaemonThreads()); snapshot.setTotalThreads(sysDiagnostics.getTotalThreads()); // heap snapshot.setMaxHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxHeap())); snapshot.setMaxHeapBytes(sysDiagnostics.getMaxHeap()); snapshot.setTotalHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalHeap())); snapshot.setTotalHeapBytes(sysDiagnostics.getTotalHeap()); snapshot.setUsedHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedHeap())); snapshot.setUsedHeapBytes(sysDiagnostics.getUsedHeap()); snapshot.setFreeHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeHeap())); snapshot.setFreeHeapBytes(sysDiagnostics.getFreeHeap()); if (sysDiagnostics.getHeapUtilization() != -1) { snapshot.setHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getHeapUtilization())); } // non heap snapshot.setMaxNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxNonHeap())); snapshot.setMaxNonHeapBytes(sysDiagnostics.getMaxNonHeap()); snapshot.setTotalNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalNonHeap())); snapshot.setTotalNonHeapBytes(sysDiagnostics.getTotalNonHeap()); snapshot.setUsedNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedNonHeap())); snapshot.setUsedNonHeapBytes(sysDiagnostics.getUsedNonHeap()); snapshot.setFreeNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeNonHeap())); snapshot.setFreeNonHeapBytes(sysDiagnostics.getFreeNonHeap()); if (sysDiagnostics.getNonHeapUtilization() != -1) { snapshot.setNonHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getNonHeapUtilization())); } // flow file disk usage final SystemDiagnosticsSnapshotDTO.StorageUsageDTO flowFileRepositoryStorageUsageDto = createStorageUsageDTO(null, sysDiagnostics.getFlowFileRepositoryStorageUsage()); snapshot.setFlowFileRepositoryStorageUsage(flowFileRepositoryStorageUsageDto); // content disk usage final Set contentRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setContentRepositoryStorageUsage(contentRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getContentRepositoryStorageUsage().entrySet()) { contentRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // provenance disk usage final Set provenanceRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setProvenanceRepositoryStorageUsage(provenanceRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getProvenanceRepositoryStorageUsage().entrySet()) { provenanceRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // garbage collection final Set garbageCollectionDtos = new LinkedHashSet<>(); snapshot.setGarbageCollection(garbageCollectionDtos); for (final Map.Entry entry : sysDiagnostics.getGarbageCollection().entrySet()) { garbageCollectionDtos.add(createGarbageCollectionDTO(entry.getKey(), entry.getValue())); } // version info final SystemDiagnosticsSnapshotDTO.VersionInfoDTO versionInfoDto = createVersionInfoDTO(); snapshot.setVersionInfo(versionInfoDto); // uptime snapshot.setUptime(FormatUtils.formatHoursMinutesSeconds(sysDiagnostics.getUptime(), TimeUnit.MILLISECONDS)); return dto; }	long method	1. long method	t	t	f		long method	0	13158	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-web/nifi-web-api/src/main/java/org/apache/nifi/web/api/dto/DtoFactory.java/#L3110-L3185	1	2100	13158
1710	YES, I found bad smells The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static String getOatFileInstructionSet(File oatFile) throws Throwable { ShareElfFile elfFile = null; String result = ""; try { elfFile = new ShareElfFile(oatFile); final ShareElfFile.SectionHeader roDataHdr = elfFile.getSectionHeaderByName(".rodata"); if (roDataHdr == null) { throw new IOException("Unable to find .rodata section."); } final FileChannel channel = elfFile.getChannel(); channel.position(roDataHdr.shOffset); final byte[] oatMagicAndVersion = new byte[8]; ShareElfFile.readUntilLimit(channel, ByteBuffer.wrap(oatMagicAndVersion), "Failed to read oat magic and version."); if (oatMagicAndVersion[0] != 'o' || oatMagicAndVersion[1] != 'a' || oatMagicAndVersion[2] != 't' || oatMagicAndVersion[3] != '\n') { throw new IOException( String.format("Bad oat magic: %x %x %x %x", oatMagicAndVersion[0], oatMagicAndVersion[1], oatMagicAndVersion[2], oatMagicAndVersion[3]) ); } final int versionOffsetFromOatBegin = 4; final int versionBytes = 3; final String oatVersion = new String(oatMagicAndVersion, versionOffsetFromOatBegin, versionBytes, Charset.forName("ASCII")); try { Integer.parseInt(oatVersion); } catch (NumberFormatException e) { throw new IOException("Bad oat version: " + oatVersion); } ByteBuffer buffer = ByteBuffer.allocate(128); buffer.order(elfFile.getDataOrder()); // TODO This is a risk point, since each oat version may use a different offset. // So far it's ok. Perhaps we should use oatVersionNum to judge the right offset in // the future. final int isaNumOffsetFromOatBegin = 12; channel.position(roDataHdr.shOffset + isaNumOffsetFromOatBegin); buffer.limit(4); ShareElfFile.readUntilLimit(channel, buffer, "Failed to read isa num."); int isaNum = buffer.getInt(); if (isaNum < 0 || isaNum >= InstructionSet.values().length) { throw new IOException("Bad isa num: " + isaNum); } switch (InstructionSet.values()[isaNum]) { case kArm: case kThumb2: result = "arm"; break; case kArm64: result = "arm64"; break; case kX86: result = "x86"; break; case kX86_64: result = "x86_64"; break; case kMips: result = "mips"; break; case kMips64: result = "mips64"; break; case kNone: result = "none"; break; default: throw new IOException("Should not reach here."); } } finally { if (elfFile != null) { try { elfFile.close(); } catch (Exception ignored) { // Ignored. } } } return result; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	11765	https://github.com/Tencent/tinker/blob/7523900600317ebd618f3505434176b381bd0bc2/tinker-android/tinker-android-loader/src/main/java/com/tencent/tinker/loader/shareutil/ShareOatUtil.java/#L48-L139	2	1710	11765
1293	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public ClientListenerResponse doHandle(OdbcRequest req) { if (!busyLock.enterBusy()) return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Failed to handle ODBC request because node is stopping: " + req); if (actx != null) AuthorizationContext.context(actx); try { switch (req.command()) { case QRY_EXEC: return executeQuery((OdbcQueryExecuteRequest)req); case QRY_EXEC_BATCH: return executeBatchQuery((OdbcQueryExecuteBatchRequest)req); case STREAMING_BATCH: return dispatchBatchOrdered((OdbcStreamingBatchRequest)req); case QRY_FETCH: return fetchQuery((OdbcQueryFetchRequest)req); case QRY_CLOSE: return closeQuery((OdbcQueryCloseRequest)req); case META_COLS: return getColumnsMeta((OdbcQueryGetColumnsMetaRequest)req); case META_TBLS: return getTablesMeta((OdbcQueryGetTablesMetaRequest)req); case META_PARAMS: return getParamsMeta((OdbcQueryGetParamsMetaRequest)req); case MORE_RESULTS: return moreResults((OdbcQueryMoreResultsRequest)req); } return new OdbcResponse(IgniteQueryErrorCode.UNKNOWN, "Unsupported ODBC request: " + req); } finally { AuthorizationContext.clear(); busyLock.leaveBusy(); } }	long method	Long method2 Feature envy	t	f	t			0	10623	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/core/src/main/java/org/apache/ignite/internal/processors/odbc/odbc/OdbcRequestHandler.java/#L221-L266	2	1293	10623
5561	YES I found bad smells the bad smells are listed in this format: 1. Long method, 2. Data class, 3. Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } private boolean mergeMap(Map fragmentMap, Map mainMap, Map tempMap, WebXml fragment, String mapName) { for (Entry entry : fragmentMap.entrySet()) { final String key = entry.getKey(); if (!mainMap.containsKey(key)) { // Not defined in main web.xml T value = entry.getValue(); if (tempMap.containsKey(key)) { if (value != null && !value.equals( tempMap.get(key))) { log.error(sm.getString( "webXml.mergeConflictString", mapName, key, fragment.getName(), fragment.getURL())); return false; } } else { tempMap.put(key, value); } } } return true;	long method	Long method, 2 Data class, 3 Feature envy	t	f	t	2. Data class, 3. Feature envy		0	7769	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/tomcat/util/descriptor/web/WebXml.java/#L1961-L1987	1	5561	7769
4065	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Multiple return points 4. Excessive comments 5. Nested loops or conditionals 6. Inconsistent formatting and coding style 7. Magic numbers or hardcoded values 8. Violation of the Single Responsibility Principle 9. Complex and unreadable code 10. Lack of documentation or proper naming conventions.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public CreatePreauthenticatedRequestResponse createPreauthenticatedRequest( CreatePreauthenticatedRequestRequest request) { LOG.trace("Called createPreauthenticatedRequest"); request = CreatePreauthenticatedRequestConverter.interceptRequest(request); com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = CreatePreauthenticatedRequestConverter.fromRequest(client, request); com.google.common.base.Function< javax.ws.rs.core.Response, CreatePreauthenticatedRequestResponse> transformer = CreatePreauthenticatedRequestConverter.fromResponse(); int attempts = 0; while (true) { try { javax.ws.rs.core.Response response = client.post(ib, request.getCreatePreauthenticatedRequestDetails(), request); return transformer.apply(response); } catch (com.oracle.bmc.model.BmcException e) { if (++attempts < MAX_IMMEDIATE_RETRIES_IF_USING_INSTANCE_PRINCIPALS && canRetryRequestIfRefreshableAuthTokenUsed(e)) { continue; } else { throw e; } } } }	long method	Long method2 Feature envy3 Multiple return points4 Excessive comments5 Nested loops or conditionals6 Inconsistent formatting and coding style7 Magic numbers or hardcoded values8 Violation of the Single Responsibility Principle9 Complex and unreadable code	t	f	t			0	10729	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-objectstorage/bmc-objectstorage-generated/src/main/java/com/oracle/bmc/objectstorage/ObjectStorageClient.java/#L526-L552	2	4065	10729
5710	{"message": "YES I found bad smells", "bad smells are": ["1. Long method"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List fromProps(Map m) { List props = new ArrayList(); for (Map.Entry entry : m.entrySet()) { String key = entry.getKey(); Object val = entry.getValue(); PropertyType propEl = new PropertyType(); propEl.setName(key); ObjectFactory factory = new ObjectFactory(); if (val.getClass().isArray()) { ArrayType arrayEl = new ArrayType(); propEl.getContent().add(factory.createArray(arrayEl)); for (Object o : normalizeArray(val)) { setValueType(propEl, o); ValueType valueType = new ValueType(); valueType.getContent().add(o.toString()); arrayEl.getValue().add(valueType); } } else if (val instanceof List) { ArrayType listEl = new ArrayType(); propEl.getContent().add(factory.createList(listEl)); handleCollectionValue((Collection) val, propEl, listEl); } else if (val instanceof Set) { ArrayType setEl = new ArrayType(); propEl.getContent().add(factory.createSet(setEl)); handleCollectionValue((Collection) val, propEl, setEl); } else if (val instanceof String || val instanceof Character || val instanceof Boolean || val instanceof Byte) { setValueType(propEl, val); propEl.setValue(val.toString()); } else if (val instanceof Long || val instanceof Double || val instanceof Float || val instanceof Integer || val instanceof Short) { // various numbers.. maybe "val instanceof Number"? setValueType(propEl, val); propEl.setValue(val.toString()); } else { // Don't add this property as the value type is not supported continue; } props.add(propEl); } return props; }	long method	1. long method	t	t	f		long method	0	12666	https://github.com/apache/aries-rsa/blob/f5aa5ca62c3948d7e471c3a839089180650cf4f2/discovery/local/src/main/java/org/apache/aries/rsa/discovery/endpoint/PropertiesMapper.java/#L233-L280	2	5710	12666
2241	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void refreshInternal(Collection objs, OpCallbacks call) { if (objs == null || objs.isEmpty()) return; List exceps = null; try { // collect instances that need a refresh Collection load = null; StateManagerImpl sm; Object obj; for (Iterator itr = objs.iterator(); itr.hasNext();) { obj = itr.next(); if (obj == null) continue; try { sm = getStateManagerImpl(obj, true); if ((processArgument(OpCallbacks.OP_REFRESH, obj, sm, call) & OpCallbacks.ACT_RUN) == 0) continue; if (sm != null) { if (sm.isDetached()) throw newDetachedException(obj, "refresh"); else if (sm.beforeRefresh(true)) { if (load == null) load = new ArrayList<>(objs.size()); load.add(sm); } int level = _fc.getReadLockLevel(); int timeout = _fc.getLockTimeout(); _lm.refreshLock(sm, level, timeout, null); sm.readLocked(level, level); } else if (assertPersistenceCapable(obj).pcIsDetached() == Boolean.TRUE) throw newDetachedException(obj, "refresh"); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } // refresh all if (load != null) { Collection failed = _store.loadAll(load, null, StoreManager.FORCE_LOAD_REFRESH, _fc, null); if (failed != null && !failed.isEmpty()) exceps = add(exceps, newObjectNotFoundException(failed)); // perform post-refresh transitions and make sure all fetch // group fields are loaded for (Iterator itr = load.iterator(); itr.hasNext();) { sm = (StateManagerImpl) itr.next(); if (failed != null && failed.contains(sm.getId())) continue; try { sm.afterRefresh(); sm.load(_fc, StateManagerImpl.LOAD_FGS, null, null, false); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } // now invoke postRefresh on all the instances for (Iterator itr = objs.iterator(); itr.hasNext();) { try { sm = getStateManagerImpl(itr.next(), true); if (sm != null && !sm.isDetached()) fireLifecycleEvent(sm.getManagedInstance(), null, sm.getMetaData(), LifecycleEvent.AFTER_REFRESH); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } catch (OpenJPAException ke) { throw ke; } catch (RuntimeException re) { throw new GeneralException(re); } throwNestedExceptions(exceps, false); }	long method	1. long method	t	t	t			0	13621	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-kernel/src/main/java/org/apache/openjpa/kernel/BrokerImpl.java/#L3172-L3253	1	2241	13621
1411	YES, I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void positionWriterAtCheckpoint() { writerChkptDK = new CheckpointDataKey(jobExecutionImpl.getJobInstance().getInstanceId(), step.getId(), CheckpointType.WRITER); CheckpointData writerData = persistenceManagerService.getCheckpointData(writerChkptDK); try { // check for data in backing store if (writerData != null) { byte[] writertoken = writerData.getRestartToken(); TCCLObjectInputStream writerOIS; try { writerProxy.open((Serializable) dataRepresentationService.toJavaRepresentation(writertoken)); } catch (Exception ex) { // is this what I should be throwing here? throw new BatchContainerServiceException("Cannot read the checkpoint data for [" + step.getId() + "]", ex); } } else { // no chkpt data exists in the backing store writerData = null; try { writerProxy.open(null); } catch (Exception ex) { throw new BatchContainerServiceException("Cannot open the step [" + step.getId() + "]", ex); } } } catch (ClassCastException e) { throw new IllegalStateException("Expected CheckpointData but found" + writerData); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	10900	https://github.com/apache/incubator-batchee/blob/d4ad6b76d3013a7eb74fbe062aeac305215d6a36/jbatch/src/main/java/org/apache/batchee/container/impl/controller/chunk/ChunkStepController.java/#L1015-L1042	2	1411	10900
1132	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static ConcurrentCompositeConfiguration createLocalConfig() { MicroserviceConfigLoader loader = new MicroserviceConfigLoader(); loader.loadAndSort(); if (localConfig.size() > 0) { ConfigModel model = new ConfigModel(); model.setConfig(localConfig); loader.getConfigModels().add(model); } LOGGER.info("create local config:"); for (ConfigModel configModel : loader.getConfigModels()) { LOGGER.info(" {}.", configModel.getUrl()); } ConcurrentCompositeConfiguration config = ConfigUtil.createLocalConfig(loader.getConfigModels()); ConfigUtil.setMicroserviceConfigLoader(config, loader); return config; }	long method	1. long method	t	t	t			0	10040	https://github.com/apache/servicecomb-java-chassis/blob/72cd0e137c4a0c3b899adfa6e19e2fd590743014/foundations/foundation-config/src/main/java/org/apache/servicecomb/config/ConfigUtil.java/#L105-L122	1	1132	10040
3968	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public BindStatus(RequestContext requestContext, String path, boolean htmlEscape) throws IllegalStateException { this.requestContext = requestContext; this.path = path; this.htmlEscape = htmlEscape; // determine name of the object and property String beanName; int dotPos = path.indexOf('.'); if (dotPos == -1) { // property not set, only the object itself beanName = path; this.expression = null; } else { beanName = path.substring(0, dotPos); this.expression = path.substring(dotPos + 1); } this.errors = requestContext.getErrors(beanName, false); if (this.errors != null) { // Usual case: A BindingResult is available as request attribute. // Can determine error codes and messages for the given expression. // Can use a custom PropertyEditor, as registered by a form controller. if (this.expression != null) { if ("*".equals(this.expression)) { this.objectErrors = this.errors.getAllErrors(); } else if (this.expression.endsWith("*")) { this.objectErrors = this.errors.getFieldErrors(this.expression); } else { this.objectErrors = this.errors.getFieldErrors(this.expression); this.value = this.errors.getFieldValue(this.expression); this.valueType = this.errors.getFieldType(this.expression); if (this.errors instanceof BindingResult) { this.bindingResult = (BindingResult) this.errors; this.actualValue = this.bindingResult.getRawFieldValue(this.expression); this.editor = this.bindingResult.findEditor(this.expression, null); } else { this.actualValue = this.value; } } } else { this.objectErrors = this.errors.getGlobalErrors(); } this.errorCodes = initErrorCodes(this.objectErrors); } else { // No BindingResult available as request attribute: // Probably forwarded directly to a form view. // Let's do the best we can: extract a plain target if appropriate. Object target = requestContext.getModelObject(beanName); if (target == null) { throw new IllegalStateException("Neither BindingResult nor plain target object for bean name '" + beanName + "' available as request attribute"); } if (this.expression != null && !"*".equals(this.expression) && !this.expression.endsWith("*")) { BeanWrapper bw = PropertyAccessorFactory.forBeanPropertyAccess(target); this.value = bw.getPropertyValue(this.expression); this.valueType = bw.getPropertyType(this.expression); this.actualValue = this.value; } this.errorCodes = new String[0]; this.errorMessages = new String[0]; } if (htmlEscape && this.value instanceof String) { this.value = HtmlUtils.htmlEscape((String) this.value); } }	long method	Long method 2 Feature envy	t	f	t			0	10409	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-webmvc/src/main/java/org/springframework/web/servlet/support/BindStatus.java/#L96-L169	2	3968	10409
1637	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ClearCacheResponse( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { initFields(); int mutable_bitField0_ = 0; com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(); try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; default: { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { done = true; } break; } case 8: { bitField0_ |= 0x00000001; unfreedBytes_ = input.readInt64(); break; } } } } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.setUnfinishedMessage(this); } catch (java.io.IOException e) { throw new com.google.protobuf.InvalidProtocolBufferException( e.getMessage()).setUnfinishedMessage(this); } finally { this.unknownFields = unknownFields.build(); makeExtensionsImmutable(); } }	long method	Long method2 Feature envy	t	f	t			0	11527	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/main/java/org/apache/phoenix/coprocessor/generated/MetaDataProtos.java/#L13962-L14001	2	1637	11527
2607	YES I found bad smells the bad smells are: 1.Long method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static List getUserDetails(String query) { List details = new ArrayList(); if (query != null && !query.isEmpty()) { StringTokenizer allParams = new StringTokenizer(query, "&"); while (allParams.hasMoreTokens()) { String param = allParams.nextToken(); details.add(new BasicNameValuePair(param.substring(0, param.indexOf("=")), param.substring(param.indexOf("=") + 1))); } } return details; }	long method	Long method	t	f	t			0	15030	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/utils/src/main/java/com/cloud/utils/UriUtils.java/#L198-L210	2	2607	15030
3797	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Transactional(propagation = Propagation.MANDATORY) public Map> loadBookmarkItemsByBookmarkIds(Collection bookmarkIds) { if (bookmarkIds == null || bookmarkIds.isEmpty()) { return Collections.emptyMap(); } Long listId = daoHelper.createTempLongList(bookmarkIds); Map> itemsMap = new HashMap<>(); getJdbcTemplate().query(loadBookmarksItemsQuery, rs -> { BiologicalDataItem dataItem = BiologicalDataItemDao.BiologicalDataItemParameters.getRowMapper() .mapRow(rs, 0); long bookmarkId = rs.getLong(BookmarkItemParameters.BOOKMARK_ID.name()); if (!itemsMap.containsKey(bookmarkId)) { itemsMap.put(bookmarkId, new ArrayList<>()); } itemsMap.get(bookmarkId).add(dataItem); }, listId); daoHelper.clearTempList(listId); return itemsMap; }	long method	long method, feature envy	t	t	t	feature envy		0	9604	https://github.com/epam/NGB/blob/340504529fc576eeec92fbae636e437ce486cc4a/server/catgenome/src/main/java/com/epam/catgenome/dao/reference/BookmarkDao.java/#L184-L205	1	3797	9604
1906	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: long recoverDrf(OplogEntryIdSet deletedIds, boolean alreadyRecoveredOnce, boolean latestOplog) { File drfFile = this.drf.f; if (drfFile == null) { this.haveRecoveredDrf = true; return 0L; } lockCompactor(); try { if (this.haveRecoveredDrf && !getHasDeletes()) return 0L; // do this while holding lock if (!this.haveRecoveredDrf) { this.haveRecoveredDrf = true; } logger.info("Recovering {} {} for disk store {}.", new Object[] {toString(), drfFile.getAbsolutePath(), getParent().getName()}); this.recoverDelEntryId = DiskStoreImpl.INVALID_ID; boolean readLastRecord = true; CountingDataInputStream dis = null; try { int recordCount = 0; boolean foundDiskStoreRecord = false; FileInputStream fis = null; try { fis = new FileInputStream(drfFile); dis = new CountingDataInputStream(new BufferedInputStream(fis, 32 * 1024), drfFile.length()); boolean endOfLog = false; while (!endOfLog) { if (dis.atEndOfFile()) { endOfLog = true; break; } readLastRecord = false; byte opCode = dis.readByte(); if (logger.isTraceEnabled(LogMarker.PERSIST_RECOVERY_VERBOSE)) { logger.trace(LogMarker.PERSIST_RECOVERY_VERBOSE, "drf byte={} location={}", opCode, Long.toHexString(dis.getCount())); } switch (opCode) { case OPLOG_EOF_ID: // we are at the end of the oplog. So we need to back up one byte dis.decrementCount(); endOfLog = true; break; case OPLOG_DEL_ENTRY_1ID: case OPLOG_DEL_ENTRY_2ID: case OPLOG_DEL_ENTRY_3ID: case OPLOG_DEL_ENTRY_4ID: case OPLOG_DEL_ENTRY_5ID: case OPLOG_DEL_ENTRY_6ID: case OPLOG_DEL_ENTRY_7ID: case OPLOG_DEL_ENTRY_8ID: readDelEntry(dis, opCode, deletedIds, parent); recordCount++; break; case OPLOG_DISK_STORE_ID: readDiskStoreRecord(dis, this.drf.f); foundDiskStoreRecord = true; recordCount++; break; case OPLOG_MAGIC_SEQ_ID: readOplogMagicSeqRecord(dis, this.drf.f, OPLOG_TYPE.DRF); break; case OPLOG_GEMFIRE_VERSION: readGemfireVersionRecord(dis, this.drf.f); recordCount++; break; case OPLOG_RVV: long idx = dis.getCount(); readRVVRecord(dis, this.drf.f, true, latestOplog); recordCount++; break; default: throw new DiskAccessException( String.format("Unknown opCode %s found in disk operation log.", opCode), getParent()); } readLastRecord = true; // @todo // if (rgn.isDestroyed()) { // break; // } } // while } finally { if (dis != null) { dis.close(); } if (fis != null) { fis.close(); } } if (!foundDiskStoreRecord && recordCount > 0) { throw new DiskAccessException( "The oplog file \"" + this.drf.f + "\" does not belong to the init file \"" + getParent().getInitFile() + "\". Drf did not contain a disk store id.", getParent()); } } catch (EOFException ignore) { // ignore since a partial record write can be caused by a crash } catch (IOException ex) { getParent().getCancelCriterion().checkCancelInProgress(ex); throw new DiskAccessException( String.format("Failed to read file during recovery from %s", drfFile.getPath()), ex, getParent()); } catch (CancelException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Cache was closed", e); } } catch (RegionDestroyedException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Region was destroyed", e); } } // Add the Oplog size to the Directory Holder which owns this oplog, // so that available space is correctly calculated & stats updated. long byteCount = 0; if (!readLastRecord) { // this means that there was a crash // and hence we should not continue to read // the next oplog this.crashed = true; if (dis != null) { byteCount = dis.getFileLength(); } } else { if (dis != null) { byteCount = dis.getCount(); } } if (!alreadyRecoveredOnce) { setRecoveredDrfSize(byteCount); this.dirHolder.incrementTotalOplogSize(byteCount); } return byteCount; } finally { unlockCompactor(); } }	long method	long method	t	t	t			0	12380	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/Oplog.java/#L1448-L1589	1	1906	12380
2535	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected NetworkVO getDefaultNetworkForAdvancedZone(DataCenter dc) { if (dc.getNetworkType() != NetworkType.Advanced) { throw new CloudRuntimeException("Zone " + dc + " is not advanced."); } if (dc.isSecurityGroupEnabled()) { List networks = _networkDao.listByZoneSecurityGroup(dc.getId()); if (CollectionUtils.isEmpty(networks)) { throw new CloudRuntimeException("Can not found security enabled network in SG Zone " + dc); } return networks.get(0); } else { TrafficType defaultTrafficType = TrafficType.Public; List defaultNetworks = _networkDao.listByZoneAndTrafficType(dc.getId(), defaultTrafficType); // api should never allow this situation to happen if (defaultNetworks.size() != 1) { throw new CloudRuntimeException("Found " + defaultNetworks.size() + " networks of type " + defaultTrafficType + " when expect to find 1"); } return defaultNetworks.get(0); } }	long method	long method	t	t	t			0	14753	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/consoleproxy/ConsoleProxyManagerImpl.java/#L696-L720	1	2535	14753
4048	YES I found bad smells the bad smells are: 1. Long method 2. Long parameter list 3. Primitive obsession 4. Data class 5. Message chains 6. Feature envy 7. Inappropriate intimacy (calling methods from parent class) 8. Mixed levels of abstraction 9. Code repetition (multiple use of "dis" variable)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: long recoverDrf(OplogEntryIdSet deletedIds, boolean alreadyRecoveredOnce, boolean latestOplog) { File drfFile = this.drf.f; if (drfFile == null) { this.haveRecoveredDrf = true; return 0L; } lockCompactor(); try { if (this.haveRecoveredDrf && !getHasDeletes()) return 0L; // do this while holding lock if (!this.haveRecoveredDrf) { this.haveRecoveredDrf = true; } logger.info("Recovering {} {} for disk store {}.", new Object[] {toString(), drfFile.getAbsolutePath(), getParent().getName()}); this.recoverDelEntryId = DiskStoreImpl.INVALID_ID; boolean readLastRecord = true; CountingDataInputStream dis = null; try { int recordCount = 0; boolean foundDiskStoreRecord = false; FileInputStream fis = null; try { fis = new FileInputStream(drfFile); dis = new CountingDataInputStream(new BufferedInputStream(fis, 32 * 1024), drfFile.length()); boolean endOfLog = false; while (!endOfLog) { if (dis.atEndOfFile()) { endOfLog = true; break; } readLastRecord = false; byte opCode = dis.readByte(); if (logger.isTraceEnabled(LogMarker.PERSIST_RECOVERY_VERBOSE)) { logger.trace(LogMarker.PERSIST_RECOVERY_VERBOSE, "drf byte={} location={}", opCode, Long.toHexString(dis.getCount())); } switch (opCode) { case OPLOG_EOF_ID: // we are at the end of the oplog. So we need to back up one byte dis.decrementCount(); endOfLog = true; break; case OPLOG_DEL_ENTRY_1ID: case OPLOG_DEL_ENTRY_2ID: case OPLOG_DEL_ENTRY_3ID: case OPLOG_DEL_ENTRY_4ID: case OPLOG_DEL_ENTRY_5ID: case OPLOG_DEL_ENTRY_6ID: case OPLOG_DEL_ENTRY_7ID: case OPLOG_DEL_ENTRY_8ID: readDelEntry(dis, opCode, deletedIds, parent); recordCount++; break; case OPLOG_DISK_STORE_ID: readDiskStoreRecord(dis, this.drf.f); foundDiskStoreRecord = true; recordCount++; break; case OPLOG_MAGIC_SEQ_ID: readOplogMagicSeqRecord(dis, this.drf.f, OPLOG_TYPE.DRF); break; case OPLOG_GEMFIRE_VERSION: readGemfireVersionRecord(dis, this.drf.f); recordCount++; break; case OPLOG_RVV: long idx = dis.getCount(); readRVVRecord(dis, this.drf.f, true, latestOplog); recordCount++; break; default: throw new DiskAccessException( String.format("Unknown opCode %s found in disk operation log.", opCode), getParent()); } readLastRecord = true; // @todo // if (rgn.isDestroyed()) { // break; // } } // while } finally { if (dis != null) { dis.close(); } if (fis != null) { fis.close(); } } if (!foundDiskStoreRecord && recordCount > 0) { throw new DiskAccessException( "The oplog file \"" + this.drf.f + "\" does not belong to the init file \"" + getParent().getInitFile() + "\". Drf did not contain a disk store id.", getParent()); } } catch (EOFException ignore) { // ignore since a partial record write can be caused by a crash } catch (IOException ex) { getParent().getCancelCriterion().checkCancelInProgress(ex); throw new DiskAccessException( String.format("Failed to read file during recovery from %s", drfFile.getPath()), ex, getParent()); } catch (CancelException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Cache was closed", e); } } catch (RegionDestroyedException e) { if (logger.isDebugEnabled()) { logger.debug("Oplog::readOplog:Error in recovery as Region was destroyed", e); } } // Add the Oplog size to the Directory Holder which owns this oplog, // so that available space is correctly calculated & stats updated. long byteCount = 0; if (!readLastRecord) { // this means that there was a crash // and hence we should not continue to read // the next oplog this.crashed = true; if (dis != null) { byteCount = dis.getFileLength(); } } else { if (dis != null) { byteCount = dis.getCount(); } } if (!alreadyRecoveredOnce) { setRecoveredDrfSize(byteCount); this.dirHolder.incrementTotalOplogSize(byteCount); } return byteCount; } finally { unlockCompactor(); } }	long method	Long method2 Long parameter list3 Primitive obsession4 Data class5 Message chains6 Feature envy7 Inappropriate intimacy (calling methods from parent class)8 Mixed levels of abstraction9 Code repetition (multiple use of "dis" variable)	t	f	t			0	10697	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/internal/cache/Oplog.java/#L1448-L1589	2	4048	10697
2545	{"response": "YES I found bad smells", "detected_bad_smells": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public NestedLoopJoin(IHyracksTaskContext ctx, FrameTupleAccessor accessorOuter, FrameTupleAccessor accessorInner, ITuplePairComparator comparatorsOuter2Inner, int memSize, IPredicateEvaluator predEval, boolean isLeftOuter, IMissingWriter[] missingWriters) throws HyracksDataException { this.accessorInner = accessorInner; this.accessorOuter = accessorOuter; this.appender = new FrameTupleAppender(); this.tpComparator = comparatorsOuter2Inner; this.outBuffer = new VSizeFrame(ctx); this.innerBuffer = new VSizeFrame(ctx); this.appender.reset(outBuffer, true); if (memSize < 3) { throw new HyracksDataException("Not enough memory is available for Nested Loop Join"); } this.outerBufferMngr = new VariableFrameMemoryManager(new VariableFramePool(ctx, ctx.getInitialFrameSize() * (memSize - 2)), FrameFreeSlotPolicyFactory.createFreeSlotPolicy(EnumFreeSlotPolicy.LAST_FIT, memSize - 2)); this.predEvaluator = predEval; this.isReversed = false; this.isLeftOuter = isLeftOuter; if (isLeftOuter) { int innerFieldCount = this.accessorInner.getFieldCount(); missingTupleBuilder = new ArrayTupleBuilder(innerFieldCount); DataOutput out = missingTupleBuilder.getDataOutput(); for (int i = 0; i < innerFieldCount; i++) { missingWriters[i].writeMissing(out); missingTupleBuilder.addFieldEndOffset(); } } else { missingTupleBuilder = null; } FileReference file = ctx.getJobletContext().createManagedWorkspaceFile(this.getClass().getSimpleName() + this.toString()); runFileWriter = new RunFileWriter(file, ctx.getIoManager()); runFileWriter.open(); }	long method	1. long method	t	t	t			0	14790	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/hyracks-fullstack/hyracks/hyracks-dataflow-std/src/main/java/org/apache/hyracks/dataflow/std/join/NestedLoopJoin.java/#L60-L97	1	2545	14790
2132	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void execute() throws ResourceUnavailableException, InsufficientCapacityException, ServerApiException, ConcurrentOperationException, ResourceAllocationException, NetworkRuleConflictException { Map dm = new HashMap(); dm.put(ApiConstants.S3_ACCESS_KEY, getAccessKey()); dm.put(ApiConstants.S3_SECRET_KEY, getSecretKey()); dm.put(ApiConstants.S3_END_POINT, getEndPoint()); dm.put(ApiConstants.S3_BUCKET_NAME, getBucketName()); if (getSigner() != null && (getSigner().equals(ApiConstants.S3_V3_SIGNER) || getSigner().equals(ApiConstants.S3_V4_SIGNER))) { dm.put(ApiConstants.S3_SIGNER, getSigner()); } if (isHttps() != null) { dm.put(ApiConstants.S3_HTTPS_FLAG, isHttps().toString()); } if (getConnectionTimeout() != null) { dm.put(ApiConstants.S3_CONNECTION_TIMEOUT, getConnectionTimeout().toString()); } if (getMaxErrorRetry() != null) { dm.put(ApiConstants.S3_MAX_ERROR_RETRY, getMaxErrorRetry().toString()); } if (getSocketTimeout() != null) { dm.put(ApiConstants.S3_SOCKET_TIMEOUT, getSocketTimeout().toString()); } if (getConnectionTtl() != null) { dm.put(ApiConstants.S3_CONNECTION_TTL, getConnectionTtl().toString()); } if (getUseTCPKeepAlive() != null) { dm.put(ApiConstants.S3_USE_TCP_KEEPALIVE, getUseTCPKeepAlive().toString()); } try{ ImageStore result = _storageService.discoverImageStore(null, null, "S3", null, dm); ImageStoreResponse storeResponse; if (result != null) { storeResponse = _responseGenerator.createImageStoreResponse(result); storeResponse.setResponseName(getCommandName()); storeResponse.setObjectName("imagestore"); setResponseObject(storeResponse); } else { throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, "Failed to add S3 Image Store."); } } catch (DiscoveryException ex) { s_logger.warn("Exception: ", ex); throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, ex.getMessage()); } }	long method	long method	t	t	t			0	13234	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/api/src/main/java/org/apache/cloudstack/api/command/admin/storage/AddImageStoreS3CMD.java/#L99-L147	1	2132	13234
1881	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String[] getPath(final TreeItem swtTreeItem) { return Display.syncExec(new ResultRunnable() { @Override public String[] run() { org.eclipse.swt.widgets.TreeItem swttiDummy = swtTreeItem; LinkedList items = new LinkedList(); while (swttiDummy != null) { items.addFirst(swttiDummy.getText()); swttiDummy = swttiDummy.getParentItem(); } return items.toArray(new String[0]); } }); }	long method	Long method 2 Feature envy	t	f	t			0	12286	https://github.com/eclipse/reddeer/blob/59e55d29fc60a672d79df1ad1578badb8a2f8693/plugins/org.eclipse.reddeer.core/src/org/eclipse/reddeer/core/handler/TreeItemHandler.java/#L281-L294	2	1881	12286
1188	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public String toString() { return "ExecInfo{" + "id='" + id + '\'' + ", container=" + container + ", processConfig=" + processConfig + ", openStdout='" + openStdout + '\'' + ", openStderr='" + openStderr + '\'' + ", openStdin='" + openStdin + '\'' + ", running='" + running + '\'' + ", exitCode='" + exitCode + '\'' + '}'; }	long method	Long method2 Feature envy	t	f	t			0	10247	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/infrastructures/docker/docker-client/src/main/java/org/eclipse/che/infrastructure/docker/client/json/ExecInfo.java/#L90-L116	2	1188	10247
2254	{ "output": "YES I found bad smells. the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void processEmail(EmailData emailData) { if (logger.isTraceEnabled()) { logger.trace("Entered MailManager:processEmail"); } if (mailHost == null || mailHost.length() == 0 || emailData == null || mailToAddresses.length == 0) { logger.error("Required mail server configuration is not specfied."); if (logger.isDebugEnabled()) { logger.debug("Exited MailManager:processEmail: Not sending email as conditions not met"); } return; } Session session = Session.getDefaultInstance(getMailHostConfiguration()); MimeMessage mimeMessage = new MimeMessage(session); String subject = emailData.subject; String message = emailData.message; String mailToList = getMailToAddressesAsString(); try { for (int i = 0; i < mailToAddresses.length; i++) { mimeMessage.addRecipient(Message.RecipientType.TO, new InternetAddress(mailToAddresses[i])); } if (subject == null) { subject = "Alert from GemFire Admin Agent"; } mimeMessage.setSubject(subject); if (message == null) { message = ""; } mimeMessage.setText(message); Transport.send(mimeMessage); logger.info("Email sent to {}. Subject: {}, Content: {}", new Object[] {mailToList, subject, message}); } catch (VirtualMachineError err) { SystemFailure.initiateFailure(err); // If this ever returns, rethrow the error. We're poisoned // now, so don't let this thread continue. throw err; } catch (Throwable ex) { // Whenever you catch Error or Throwable, you must also // catch VirtualMachineError (see above). However, there is // _still_ a possibility that you are dealing with a cascading // error condition, so you also need to check to see if the JVM // is still usable: SystemFailure.checkFailure(); StringBuilder buf = new StringBuilder(); buf.append("An exception occurred while sending email."); buf.append( "Unable to send email. Please check your mail settings and the log file."); buf.append("\n\n").append( String.format("Exception message: %s", ex.getMessage())); buf.append("\n\n").append( "Following email was not delivered:"); buf.append("\n\t") .append(String.format("Mail Host: %s", mailHost)); buf.append("\n\t").append(String.format("From: %s", mailFrom)); buf.append("\n\t").append(String.format("To: %s", mailToList)); buf.append("\n\t").append(String.format("Subject: %s", subject)); buf.append("\n\t").append(String.format("Content: %s", message)); logger.error(buf.toString(), ex); } if (logger.isTraceEnabled()) { logger.trace("Exited MailManager:processEmail"); } }	long method	1. long method	t	t	t			0	13687	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/main/java/org/apache/geode/admin/jmx/internal/MailManager.java/#L80-L150	1	2254	13687
2532	YES, I found bad smells. The bad smells are: (1) Long method, (2) Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public boolean executeSyncCmsId(NuageVspDeviceVO nuageVspDevice, SyncType syncType) { NuageVspDeviceVO matchingNuageVspDevice = findMatchingNuageVspDevice(nuageVspDevice); if (syncType == SyncType.REGISTER && matchingNuageVspDevice != null) { String cmsId = findNuageVspCmsIdForDeviceOrHost(matchingNuageVspDevice.getId(), matchingNuageVspDevice.getHostId()); registerNewNuageVspDevice(nuageVspDevice.getHostId(), cmsId); return true; } String cmsId = findNuageVspCmsIdForDeviceOrHost(nuageVspDevice.getId(), nuageVspDevice.getHostId()); SyncNuageVspCmsIdCommand syncCmd = new SyncNuageVspCmsIdCommand(syncType, cmsId); SyncNuageVspCmsIdAnswer answer = (SyncNuageVspCmsIdAnswer) _agentMgr.easySend(nuageVspDevice.getHostId(), syncCmd); if (answer != null) { if (answer.getSuccess()) { if (syncType == SyncType.REGISTER || answer.getSyncType() == SyncType.REGISTER) { registerNewNuageVspDevice(nuageVspDevice.getHostId(), answer.getNuageVspCmsId()); } else if (syncType == SyncType.UNREGISTER) { removeLegacyNuageVspDeviceCmsId(nuageVspDevice.getId()); } } else if (syncType == SyncType.AUDIT || syncType == SyncType.AUDIT_ONLY) { s_logger.fatal("Nuage VSP Device with ID " + nuageVspDevice.getId() + " is configured with an unknown CMS ID!"); } } return answer != null && answer.getSuccess(); }	long method	) Long method, (2) Feature envy	t	f	t	(2) Feature envy.		0	14744	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/nuage-vsp/src/main/java/com/cloud/network/manager/NuageVspManagerImpl.java/#L686-L711	2	2532	14744
1901	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("unchecked") private void extractDataAndSave(IBatchDAO batchDAO) { if (logger.isDebugEnabled()) { logger.debug("Extract data and save"); } long startTime = System.currentTimeMillis(); try { HistogramMetric.Timer timer = prepareLatency.createTimer(); List batchAllCollection = new LinkedList(); try { List persistenceWorkers = new ArrayList<>(); persistenceWorkers.addAll(IndicatorProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(RecordProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(TopNProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.forEach(worker -> { if (logger.isDebugEnabled()) { logger.debug("extract {} worker data and save", worker.getClass().getName()); } if (worker.flushAndSwitch()) { List batchCollection = worker.buildBatchCollection(); if (logger.isDebugEnabled()) { logger.debug("extract {} worker data size: {}", worker.getClass().getName(), batchCollection.size()); } batchAllCollection.addAll(batchCollection); } }); if (debug) { logger.info("build batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } } finally { timer.finish(); } HistogramMetric.Timer executeLatencyTimer = executeLatency.createTimer(); try { batchDAO.batchPersistence(batchAllCollection); } finally { executeLatencyTimer.finish(); } } catch (Throwable e) { errorCounter.inc(); logger.error(e.getMessage(), e); } finally { if (logger.isDebugEnabled()) { logger.debug("persistence data save finish"); } } if (debug) { logger.info("batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } }	long method	Long method2 Feature envy	t	f	t			0	12362	https://github.com/apache/incubator-skywalking/blob/32c4bced8a7e055003d6e4bea0fd8f8361bec8e5/oap-server/server-core/src/main/java/org/apache/skywalking/oap/server/core/storage/PersistenceTimer.java/#L72-L129	2	1901	12362
4708	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Object getApplicationToRun(String[] args) throws CoreException { String configuredApplication = getConfiguredApplication(args); if (configuredApplication == null) { configuredApplication = DEFAULT_APP_3_0; } else { System.out.println("Launching application " + configuredApplication + "..."); } // Assume we are in 3.0 mode. // Find the name of the application as specified by the PDE JUnit launcher. // If no application is specified, the 3.0 default workbench application // is returned. IExtension extension = Platform.getExtensionRegistry().getExtension(Platform.PI_RUNTIME, Platform.PT_APPLICATIONS, configuredApplication); // If no 3.0 extension can be found, search the registry // for the pre-3.0 default workbench application, i.e. org.eclipse ui.workbench // Set the deprecated flag to true if (extension == null) { return null; } // If the extension does not have the correct grammar, return null. // Otherwise, return the application object. IConfigurationElement[] elements = extension.getConfigurationElements(); if (elements.length > 0) { IConfigurationElement[] runs = elements[0].getChildren("run"); //$NON-NLS-1$ if (runs.length > 0) { return runs[0].createExecutableExtension("class"); //$NON-NLS-1$ } } return null; }	long method	Long Method	t	f	t			0	12628	https://github.com/eclipse/tycho/blob/913062f90a6bad5c8c2b57c77111a52e698105d5/tycho-surefire/org.eclipse.tycho.surefire.osgibooter/src/main/java/org/eclipse/tycho/surefire/osgibooter/AbstractUITestApplication.java/#L67-L99	1	4708	12628
4765	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void createButtonGroup( Group grpTop ) { btnAdd = new Button( grpTop, SWT.NONE ); { btnAdd.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Add" ) ); //$NON-NLS-1$ btnAdd.addSelectionListener( this ); } newMarkerEditor = new MarkerEditorComposite( grpTop, createMarker( ), getContext( ), getDefaultMarker( ) ); if ( markerTypeSet != null ) { newMarkerEditor.setSupportedMarkerTypes( markerTypeSet ); } if ( outlineText != null ) { newMarkerEditor.setOutlineText( outlineText ); } btnRemove = new Button( grpTop, SWT.NONE ); { btnRemove.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Remove" ) ); //$NON-NLS-1$ btnRemove.addSelectionListener( this ); } btnUp = new Button( grpTop, SWT.ARROW | SWT.UP ); { btnUp.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Up" ) ); //$NON-NLS-1$ btnUp.addSelectionListener( this ); } btnDown = new Button( grpTop, SWT.ARROW | SWT.DOWN ); { btnDown.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Down" ) ); //$NON-NLS-1$ btnDown.addSelectionListener( this ); } }	long method	Long method2 Feature envy	t	f	t			0	12825	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/wizard/format/popup/series/LineSeriesMarkerSheet.java/#L402-L440	2	4765	12825
903	{"answer": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void resizeInstructions() { byte[] b = code.data; // bytecode of the method int u, v, label; // indexes in b int i, j; // loop indexes /* * 1st step: As explained above, resizing an instruction may require to * resize another one, which may require to resize yet another one, and * so on. The first step of the algorithm consists in finding all the * instructions that need to be resized, without modifying the code. * This is done by the following "fix point" algorithm: * * Parse the code to find the jump instructions whose offset will need * more than 2 bytes to be stored (the future offset is computed from * the current offset and from the number of bytes that will be inserted * or removed between the source and target instructions). For each such * instruction, adds an entry in (a copy of) the indexes and sizes * arrays (if this has not already been done in a previous iteration!). * * If at least one entry has been added during the previous step, go * back to the beginning, otherwise stop. * * In fact the real algorithm is complicated by the fact that the size * of TABLESWITCH and LOOKUPSWITCH instructions depends on their * position in the bytecode (because of padding). In order to ensure the * convergence of the algorithm, the number of bytes to be added or * removed from these instructions is over estimated during the previous * loop, and computed exactly only after the loop is finished (this * requires another pass to parse the bytecode of the method). */ int[] allIndexes = new int[0]; // copy of indexes int[] allSizes = new int[0]; // copy of sizes boolean[] resize; // instructions to be resized int newOffset; // future offset of a jump instruction resize = new boolean[code.length]; // 3 = loop again, 2 = loop ended, 1 = last pass, 0 = done int state = 3; do { if (state == 3) { state = 2; } u = 0; while (u < b.length) { int opcode = b[u] & 0xFF; // opcode of current instruction int insert = 0; // bytes to be added after this instruction switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // converts temporary opcodes 202 to 217, 218 and // 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (newOffset < Short.MIN_VALUE || newOffset > Short.MAX_VALUE) { if (!resize[u]) { if (opcode == Opcodes.GOTO || opcode == Opcodes.JSR) { // two additional bytes will be required to // replace this GOTO or JSR instruction with // a GOTO_W or a JSR_W insert = 2; } else { // five additional bytes will be required to // replace this IFxxx instruction with // IFNOTxxx GOTO_W , where IFNOTxxx // is the "opposite" opcode of IFxxx (i.e., // IFNE for IFEQ) and where designates // the instruction just after the GOTO_W. insert = 5; } resize[u] = true; } } u += 3; break; case ClassWriter.LABELW_INSN: u += 5; break; case ClassWriter.TABL_INSN: if (state == 1) { // true number of bytes to be added (or removed) // from this instruction = (future number of padding // bytes - current number of padding byte) - // previously over estimated variation = // = ((3 - newOffset%4) - (3 - u%4)) - u%4 // = (-newOffset%4 + u%4) - u%4 // = -(newOffset & 3) newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // over estimation of the number of bytes to be // added to this instruction = 3 - current number // of padding bytes = 3 - (3 - u%4) = u%4 = u & 3 insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 4 * (readInt(b, u + 8) - readInt(b, u + 4) + 1) + 12; break; case ClassWriter.LOOK_INSN: if (state == 1) { // like TABL_INSN newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // like TABL_INSN insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 8 * readInt(b, u + 4) + 8; break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { u += 6; } else { u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: u += 5; break; // case ClassWriter.MANA_INSN: default: u += 4; break; } if (insert != 0) { // adds a new (u, insert) entry in the allIndexes and // allSizes arrays int[] newIndexes = new int[allIndexes.length + 1]; int[] newSizes = new int[allSizes.length + 1]; System.arraycopy(allIndexes, 0, newIndexes, 0, allIndexes.length); System.arraycopy(allSizes, 0, newSizes, 0, allSizes.length); newIndexes[allIndexes.length] = u; newSizes[allSizes.length] = insert; allIndexes = newIndexes; allSizes = newSizes; if (insert > 0) { state = 3; } } } if (state < 3) { --state; } } while (state != 0); // 2nd step: // copies the bytecode of the method into a new bytevector, updates the // offsets, and inserts (or removes) bytes as requested. ByteVector newCode = new ByteVector(code.length); u = 0; while (u < code.length) { int opcode = b[u] & 0xFF; switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: newCode.putByte(opcode); u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // changes temporary opcodes 202 to 217 (inclusive), 218 // and 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (resize[u]) { // replaces GOTO with GOTO_W, JSR with JSR_W and IFxxx // with IFNOTxxx GOTO_W , where IFNOTxxx is // the "opposite" opcode of IFxxx (i.e., IFNE for IFEQ) // and where designates the instruction just after // the GOTO_W. if (opcode == Opcodes.GOTO) { newCode.putByte(200); // GOTO_W } else if (opcode == Opcodes.JSR) { newCode.putByte(201); // JSR_W } else { newCode.putByte(opcode <= 166 ? ((opcode + 1) ^ 1) - 1 : opcode ^ 1); newCode.putShort(8); // jump offset newCode.putByte(200); // GOTO_W // newOffset now computed from start of GOTO_W newOffset -= 3; } newCode.putInt(newOffset); } else { newCode.putByte(opcode); newCode.putShort(newOffset); } u += 3; break; case ClassWriter.LABELW_INSN: label = u + readInt(b, u + 1); newOffset = getNewOffset(allIndexes, allSizes, u, label); newCode.putByte(opcode); newCode.putInt(newOffset); u += 5; break; case ClassWriter.TABL_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.TABLESWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); j = readInt(b, u) - j + 1; u += 4; newCode.putInt(readInt(b, u - 4)); for (; j > 0; --j) { label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.LOOK_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.LOOKUPSWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); for (; j > 0; --j) { newCode.putInt(readInt(b, u)); u += 4; label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { newCode.putByteArray(b, u, 6); u += 6; } else { newCode.putByteArray(b, u, 4); u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: newCode.putByteArray(b, u, 2); u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: newCode.putByteArray(b, u, 3); u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: newCode.putByteArray(b, u, 5); u += 5; break; // case MANA_INSN: default: newCode.putByteArray(b, u, 4); u += 4; break; } } // recomputes the stack map frames if (frameCount > 0) { if (compute == FRAMES) { frameCount = 0; stackMap = null; previousFrame = null; frame = null; Frame f = new Frame(); f.owner = labels; Type[] args = Type.getArgumentTypes(descriptor); f.initInputFrame(cw, access, args, maxLocals); visitFrame(f); Label l = labels; while (l != null) { /* * here we need the original label position. getNewOffset * must therefore never have been called for this label. */ u = l.position - 3; if ((l.status & Label.STORE) != 0 || (u >= 0 && resize[u])) { getNewOffset(allIndexes, allSizes, l); // TODO update offsets in UNINITIALIZED values visitFrame(l.frame); } l = l.successor; } } else { /* * Resizing an existing stack map frame table is really hard. * Not only the table must be parsed to update the offets, but * new frames may be needed for jump instructions that were * inserted by this method. And updating the offsets or * inserting frames can change the format of the following * frames, in case of packed frames. In practice the whole table * must be recomputed. For this the frames are marked as * potentially invalid. This will cause the whole class to be * reread and rewritten with the COMPUTE_FRAMES option (see the * ClassWriter.toByteArray method). This is not very efficient * but is much easier and requires much less code than any other * method I can think of. */ cw.invalidFrames = true; } } // updates the exception handler block labels Handler h = firstHandler; while (h != null) { getNewOffset(allIndexes, allSizes, h.start); getNewOffset(allIndexes, allSizes, h.end); getNewOffset(allIndexes, allSizes, h.handler); h = h.next; } // updates the instructions addresses in the // local var and line number tables for (i = 0; i < 2; ++i) { ByteVector bv = i == 0 ? localVar : localVarType; if (bv != null) { b = bv.data; u = 0; while (u < bv.length) { label = readUnsignedShort(b, u); newOffset = getNewOffset(allIndexes, allSizes, 0, label); writeShort(b, u, newOffset); label += readUnsignedShort(b, u + 2); newOffset = getNewOffset(allIndexes, allSizes, 0, label) - newOffset; writeShort(b, u + 2, newOffset); u += 10; } } } if (lineNumber != null) { b = lineNumber.data; u = 0; while (u < lineNumber.length) { writeShort( b, u, getNewOffset(allIndexes, allSizes, 0, readUnsignedShort(b, u))); u += 4; } } // updates the labels of the other attributes Attribute attr = cattrs; while (attr != null) { Label[] labels = attr.getLabels(); if (labels != null) { for (i = labels.length - 1; i >= 0; --i) { getNewOffset(allIndexes, allSizes, labels[i]); } } attr = attr.next; } // replaces old bytecodes with new ones code = newCode; }	long method	long method, data class	t	t	t	data class		0	8170	https://github.com/apache/tajo/blob/fb326195083959014c82c10187cb46de91ece33f/tajo-thirdparty/asm/src/main/java/org/apache/tajo/org/objectweb/asm/MethodWriter.java/#L2145-L2559	1	903	8170
2419	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Nullable public static PropertyEditor findEditorByConvention(@Nullable Class targetType) { if (targetType == null || targetType.isArray() || unknownEditorTypes.contains(targetType)) { return null; } ClassLoader cl = targetType.getClassLoader(); if (cl == null) { try { cl = ClassLoader.getSystemClassLoader(); if (cl == null) { return null; } } catch (Throwable ex) { // e.g. AccessControlException on Google App Engine if (logger.isDebugEnabled()) { logger.debug("Could not access system ClassLoader: " + ex); } return null; } } String editorName = targetType.getName() + "Editor"; try { Class editorClass = cl.loadClass(editorName); if (!PropertyEditor.class.isAssignableFrom(editorClass)) { if (logger.isInfoEnabled()) { logger.info("Editor class [" + editorName + "] does not implement [java.beans.PropertyEditor] interface"); } unknownEditorTypes.add(targetType); return null; } return (PropertyEditor) instantiateClass(editorClass); } catch (ClassNotFoundException ex) { if (logger.isTraceEnabled()) { logger.trace("No property editor [" + editorName + "] found for type " + targetType.getName() + " according to 'Editor' suffix convention"); } unknownEditorTypes.add(targetType); return null; } }	long method	1. long method, feature envy	t	t	t	feature envy		0	14427	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-beans/src/main/java/org/springframework/beans/BeanUtils.java/#L504-L546	1	2419	14427
606	{ "output": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void doRawReceiveFile(File path, int size, InputStream clientInput) throws IOException { // Create a temp file to receive the payload, so we don't need to worry about // partially-received files. The host takes care of deleting temp files. File tempfile = File.createTempFile( AgentUtil.TEMP_PREFIX + path.getName() + "-", ".tmp", path.getParentFile()); FileOutputStream output = new FileOutputStream(tempfile); // Keep track of our starting time so we can enforce a timeout on slow but steady uploads. long receiveStartMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); // Keep track of the total received size to verify the payload. long totalSize = 0; long totalReceiveTimeoutMs = RECEIVE_TIMEOUT_MS + TOTAL_RECEIVE_TIMEOUT_MS_PER_MB * (size / 1024 / 1024); try { int bufferSize = 128 * 1024; byte[] buf = new byte[bufferSize]; while (true) { long currentTimeMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime()); if (currentTimeMs - receiveStartMs > totalReceiveTimeoutMs) { throw new RuntimeException("Receive failed to complete before timeout."); } int remaining = size - (int) totalSize; if (remaining == 0) { break; } int want = bufferSize; if (want > remaining) { want = remaining; } int got = clientInput.read(buf, 0, want); if (got == -1) { break; } output.write(buf, 0, got); totalSize += got; } } finally { output.close(); } if (totalSize != size) { throw new RuntimeException("Received only " + totalSize + " of " + size + " bytes."); } boolean success = tempfile.renameTo(path); if (!success) { throw new RuntimeException("Failed to rename temp file."); } }	long method	1: long method	t	t	t			0	6083	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/android/agent/AgentMain.java/#L189-L237	1	606	6083
2391	YES I found bad smells the bad smells are:1.Long method, 2.Primitive obsession	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static ImmutableDictionaryReader loadDictionary(PinotDataBuffer dictionaryBuffer, ColumnMetadata metadata, boolean loadOnHeap) { FieldSpec.DataType dataType = metadata.getDataType(); if (loadOnHeap) { String columnName = metadata.getColumnName(); LOGGER.info("Loading on-heap dictionary for column: {}", columnName); } int length = metadata.getCardinality(); switch (dataType) { case INT: return (loadOnHeap) ? new OnHeapIntDictionary(dictionaryBuffer, length) : new IntDictionary(dictionaryBuffer, length); case LONG: return (loadOnHeap) ? new OnHeapLongDictionary(dictionaryBuffer, length) : new LongDictionary(dictionaryBuffer, length); case FLOAT: return (loadOnHeap) ? new OnHeapFloatDictionary(dictionaryBuffer, length) : new FloatDictionary(dictionaryBuffer, length); case DOUBLE: return (loadOnHeap) ? new OnHeapDoubleDictionary(dictionaryBuffer, length) : new DoubleDictionary(dictionaryBuffer, length); case STRING: int numBytesPerValue = metadata.getColumnMaxLength(); byte paddingByte = (byte) metadata.getPaddingCharacter(); return loadOnHeap ? new OnHeapStringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte) : new StringDictionary(dictionaryBuffer, length, numBytesPerValue, paddingByte); case BYTES: numBytesPerValue = metadata.getColumnMaxLength(); return new BytesDictionary(dictionaryBuffer, length, numBytesPerValue); default: throw new IllegalStateException("Illegal data type for dictionary: " + dataType); } }	long method	Long method, 2Primitive obsession	t	f	t	2.Primitive obsession		0	14362	https://github.com/apache/incubator-pinot/blob/d58f8bce4b59de096b4ee9fee61c679482dd1d7d/pinot-core/src/main/java/org/apache/pinot/core/segment/index/column/PhysicalColumnIndexContainer.java/#L143-L182	2	2391	14362
2340	{"message": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private Invocation next() { if (interceptors.hasNext()) { final Interceptor interceptor = interceptors.next(); final Object nextInstance = interceptor.getInstance(); final Method nextMethod = interceptor.getMethod(); if (nextMethod.getParameterTypes().length == 1 && nextMethod.getParameterTypes()[0] == InvocationContext.class) { return new InterceptorInvocation(nextInstance, nextMethod, this); } else { return new LifecycleInvocation(nextInstance, nextMethod, this, parameters); } } else if (method != null) { //EJB 3.1, it is allowed that timeout method does not have parameter Timer.class, //However, while invoking the timeout method, the timer value is passed, as it is also required by InnvocationContext.getTimer() method final Object[] methodParameters; if (operation.equals(Operation.TIMEOUT) && method.getParameterTypes().length == 0) { methodParameters = new Object[0]; } else { methodParameters = parameters; } return new BeanInvocation(target, method, methodParameters); } else { return new NoOpInvocation(); } }	long method	long method	t	t	t			0	14174	https://github.com/apache/tomee/blob/d21933b313aff812fe5188b57bf572a9ad649148/container/openejb-core/src/main/java/org/apache/openejb/core/interceptor/ReflectionInvocationContext.java/#L153-L177	1	2340	14174
1970	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void reloadExpectedTimeAndConfig(SLACalcStatus slaCalc) throws JPAExecutorException { SLARegistrationBean regBean = SLARegistrationQueryExecutor.getInstance().get( SLARegQuery.GET_SLA_EXPECTED_VALUE_CONFIG, slaCalc.getId()); if (regBean.getExpectedDuration() > 0) { slaCalc.getSLARegistrationBean().setExpectedDuration(regBean.getExpectedDuration()); } if (regBean.getExpectedEnd() != null) { slaCalc.getSLARegistrationBean().setExpectedEnd(regBean.getExpectedEnd()); } if (regBean.getExpectedStart() != null) { slaCalc.getSLARegistrationBean().setExpectedStart(regBean.getExpectedStart()); } if (regBean.getSLAConfigMap().containsKey(OozieClient.SLA_DISABLE_ALERT)) { slaCalc.getSLARegistrationBean().addToSLAConfigMap(OozieClient.SLA_DISABLE_ALERT, regBean.getSLAConfigMap().get(OozieClient.SLA_DISABLE_ALERT)); } if (regBean.getNominalTime() != null) { slaCalc.getSLARegistrationBean().setNominalTime(regBean.getNominalTime()); } }	long method	Long method2 Feature envy	t	f	t			0	12607	https://github.com/apache/oozie/blob/491e73ee9f941dfb25dfe92121fb033295ef42ee/core/src/main/java/org/apache/oozie/sla/SLACalculatorMemory.java/#L540-L560	2	1970	12607
1945	YES I found bad smells The bad smells are: 1. Long method, 2. Data clumps, 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int hashCode() { int hash = 37; if ( baseDn != null ) { hash = hash * 17 + baseDn.hashCode(); } hash = hash * 17 + aliasDerefMode.hashCode(); hash = hash * 17 + scope.hashCode(); hash = hash * 17 + Long.valueOf( sizeLimit ).hashCode(); hash = hash * 17 + timeLimit; hash = hash * 17 + ( typesOnly ? 0 : 1 ); if ( attributes != null ) { hash = hash * 17 + attributes.size(); // Order doesn't matter, thus just add hashCode for ( String attr : attributes ) { if ( attr != null ) { hash = hash + attr.hashCode(); } } } BranchNormalizedVisitor visitor = new BranchNormalizedVisitor(); filterNode.accept( visitor ); hash = hash * 17 + filterNode.toString().hashCode(); hash = hash * 17 + super.hashCode(); return hash; }	long method	Long method, 2 Data clumps, 3 Feature envy	t	f	t	2. Data clumps, 3. Feature envy		0	12515	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/message/SearchRequestImpl.java/#L373-L409	2	1945	12515
169	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected NetworkVO getDefaultNetworkForAdvancedZone(DataCenter dc) { if (dc.getNetworkType() != NetworkType.Advanced) { throw new CloudRuntimeException("Zone " + dc + " is not advanced."); } if (dc.isSecurityGroupEnabled()) { List networks = _networkDao.listByZoneSecurityGroup(dc.getId()); if (CollectionUtils.isEmpty(networks)) { throw new CloudRuntimeException("Can not found security enabled network in SG Zone " + dc); } return networks.get(0); } else { TrafficType defaultTrafficType = TrafficType.Public; List defaultNetworks = _networkDao.listByZoneAndTrafficType(dc.getId(), defaultTrafficType); // api should never allow this situation to happen if (defaultNetworks.size() != 1) { throw new CloudRuntimeException("Found " + defaultNetworks.size() + " networks of type " + defaultTrafficType + " when expect to find 1"); } return defaultNetworks.get(0); } }	long method	long method	t	t	t			0	2032	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/consoleproxy/ConsoleProxyManagerImpl.java/#L696-L720	1	169	2032
3937	YES I found bad smells The bad smells are: 1.Long method, 2.Magic number	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	Long method, 2Magic number	t	f	t	2.Magic number		0	10309	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	2	3937	10309
845	{ "response": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void handleChainFromFilter( StreamTypeRecord streamType, MethodInvocationTree observableDotFilter, Tree filterMethodOrLambda, VisitorState state) { MethodInvocationTree outerCallInChain = observableDotFilter; if (outerCallInChain == null) { return; } // Traverse the observable call chain out through any pass-through methods do { outerCallInChain = observableOuterCallInChain.get(outerCallInChain); // Check for a map method (which might be a pass-through method or the first method after a // pass-through chain) MethodInvocationTree mapCallsite = observableOuterCallInChain.get(observableDotFilter); if (observableCallToInnerMethodOrLambda.containsKey(outerCallInChain)) { // Update mapToFilterMap Symbol.MethodSymbol mapMethod = ASTHelpers.getSymbol(outerCallInChain); if (streamType.isMapMethod(mapMethod)) { MaplikeToFilterInstanceRecord record = new MaplikeToFilterInstanceRecord( streamType.getMaplikeMethodRecord(mapMethod), filterMethodOrLambda); mapToFilterMap.put(observableCallToInnerMethodOrLambda.get(outerCallInChain), record); } } } while (outerCallInChain != null && streamType.matchesType(ASTHelpers.getReceiverType(outerCallInChain), state) && streamType.isPassthroughMethod(ASTHelpers.getSymbol(outerCallInChain))); }	long method	1: long method	t	t	t			0	7823	https://github.com/uber/NullAway/blob/31a184261daaf05f3d353146f44e8e8f12fd7a4d/nullaway/src/main/java/com/uber/nullaway/handlers/RxNullabilityPropagator.java/#L287-L315	1	845	7823
961	YES, I found bad smells. The bad smells are: 1. Long method 2. Duplicate code 3. Dead code 4. Feature envy 5. Magic numbers	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected static void initialize() { STRAM.setChildren(Sets.newHashSet(APPLICATION, TEMPLATE)); APPLICATION.setChildren(Sets.newHashSet(GATEWAY, OPERATOR, STREAM)); OPERATOR.setChildren(Sets.newHashSet(PORT)); PORT.setChildren(Sets.newHashSet(UNIFIER)); STRAM_ELEMENT_TO_CONF_ELEMENT.clear(); //Initialize StramElement to ConfElement for (ConfElement confElement: ConfElement.values()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(confElement.getStramElement(), confElement); for (StramElement sElement: confElement.getAllRelatedElements()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(sElement, confElement); } } //Initialize attributes for (ConfElement confElement: ConfElement.values()) { if (confElement.getParent() == null) { continue; } setAmbiguousAttributes(confElement); } // build context to conf element map CONTEXT_TO_CONF_ELEMENT.clear(); for (ConfElement confElement: ConfElement.values()) { CONTEXT_TO_CONF_ELEMENT.put(confElement.getContextClass(), confElement); } //Check if all the context classes are accounted for Set> confElementContextClasses = Sets.newHashSet(); for (ConfElement confElement: ConfElement.values()) { if (confElement.getContextClass() == null) { continue; } confElementContextClasses.add(confElement.getContextClass()); } if (!ContextUtils.CONTEXT_CLASSES.equals(confElementContextClasses)) { throw new IllegalStateException("All the context classes " + ContextUtils.CONTEXT_CLASSES + " found in " + Context.class + " are not used by ConfElements " + confElementContextClasses); } }	long method	Long method2 Duplicate code3 Dead code4 Feature envy5 Magic numbers	t	f	t			0	8569	https://github.com/apache/apex-core/blob/d17f464fcaf19778e2f8edbe2b03419151558068/engine/src/main/java/com/datatorrent/stram/plan/logical/LogicalPlanConfiguration.java/#L230-L279	2	961	8569
1797	{"message":"YES I found bad smells","bad smells are":["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	long method	t	t	t			0	12001	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	1	1797	12001
575	{ "output": "YES I found bad smells", "bad smells are": ["Data Class", "Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private EntityCollection createETStreamOnComplexProp(Edm edm, OData odata) { EntityCollection entityCollection = new EntityCollection(); Link readLink = new Link(); readLink.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink.setHref("readLink"); Entity entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("darkturquoise"))); readLink.setInlineEntity(entity); Link readLink1 = new Link(); readLink1.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink1.setHref("readLink"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("darkturquoise"))); readLink1.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", Short.MAX_VALUE)) .addProperty(createPrimitive("PropertyInt32", Integer.MAX_VALUE)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, readLink1)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, readLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); Link editLink = new Link(); editLink.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink.setHref("http://mediaserver:1234/editLink"); editLink.setMediaETag("eTag"); editLink.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("royalblue"))); editLink.setInlineEntity(entity); Link editLink2 = new Link(); editLink2.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink2.setHref("http://mediaserver:1234/editLink"); editLink2.setMediaETag("eTag"); editLink2.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("royalblue"))); editLink2.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", (short) 7)) .addProperty(createPrimitive("PropertyInt32", (Integer) 10)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, editLink2)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, editLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); setEntityType(entityCollection, edm.getEntityType(EntityTypeProvider.nameETStreamOnComplexProp)); createEntityId(edm, odata, "ESStreamOnComplexProp", entityCollection); createOperations("ESStreamOnComplexProp", entityCollection, EntityTypeProvider.nameETStreamOnComplexProp); return entityCollection; }	long method	data class, long method	t	t	t	data class		0	5777	https://github.com/apache/olingo-odata4/blob/f344a3c565b6a67233de1d1169104a728136e7a3/lib/server-tecsvc/src/main/java/org/apache/olingo/server/tecsvc/data/DataCreator.java/#L158-L221	1	575	5777
2381	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Magic numbers 5. Inconsistent naming conventions 6. Multiple levels of indentation 7. Unnecessary comments 8. Poor exception handling 9. Unnecessary synchronization 10. Use of best effort instead of handling errors properly.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	Long method2 Feature envy3 Duplicate code4 Magic numbers5 Inconsistent naming conventions6 Multiple levels of indentation7 Unnecessary comments8 Poor exception handling 9 Unnecessary synchronization	t	f	t			0	14338	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	2	2381	14338
5744	YES I found bad smells the bad smells are: 1. Long method, 2.Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void addOptionValues(List optionValues, Map context, Delegator delegator) { // first expand any conditions that need expanding based on the current context EntityCondition findCondition = null; if (UtilValidate.isNotEmpty(this.constraintList)) { List expandedConditionList = new LinkedList<>(); for (EntityFinderUtil.Condition condition : constraintList) { ModelEntity modelEntity = delegator.getModelEntity(this.entityName); if (modelEntity == null) { throw new IllegalArgumentException("Error in entity-options: could not find entity [" + this.entityName + "]"); } EntityCondition createdCondition = condition.createCondition(context, modelEntity, delegator.getModelFieldTypeReader(modelEntity)); if (createdCondition != null) { expandedConditionList.add(createdCondition); } } findCondition = EntityCondition.makeCondition(expandedConditionList); } try { Locale locale = UtilMisc.ensureLocale(context.get("locale")); ModelEntity modelEntity = delegator.getModelEntity(this.entityName); Boolean localizedOrderBy = UtilValidate.isNotEmpty(this.orderByList) && ModelUtil.isPotentialLocalizedFields(modelEntity, this.orderByList); List values = null; if (!localizedOrderBy) { values = delegator.findList(this.entityName, findCondition, null, this.orderByList, null, this.cache); } else { //if entity has localized label values = delegator.findList(this.entityName, findCondition, null, null, null, this.cache); values = EntityUtil.localizedOrderBy(values, this.orderByList, locale); } // filter-by-date if requested if ("true".equals(this.filterByDate)) { values = EntityUtil.filterByDate(values, true); } else if (!"false".equals(this.filterByDate)) { // not explicitly true or false, check to see if has fromDate and thruDate, if so do the filter if (modelEntity != null && modelEntity.isField("fromDate") && modelEntity.isField("thruDate")) { values = EntityUtil.filterByDate(values, true); } } for (GenericValue value : values) { // add key and description with string expansion, ie expanding ${} stuff, passing locale explicitly to expand value string because it won't be found in the Entity MapStack localContext = MapStack.create(context); // Rendering code might try to modify the GenericEntity instance, // so we make a copy of it. Map genericEntityClone = UtilGenerics.cast(value.clone()); localContext.push(genericEntityClone); // expand with the new localContext, which is locale aware String optionDesc = this.description.expandString(localContext, locale); Object keyFieldObject = value.get(this.getKeyFieldName()); if (keyFieldObject == null) { throw new IllegalArgumentException( "The entity-options identifier (from key-name attribute, or default to the field name) [" + this.getKeyFieldName() + "], may not be a valid key field name for the entity [" + this.entityName + "]."); } String keyFieldValue = keyFieldObject.toString(); optionValues.add(new OptionValue(keyFieldValue, optionDesc)); } } catch (GenericEntityException e) { Debug.logError(e, "Error getting entity options in form", module); } }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	14137	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/widget/src/main/java/org/apache/ofbiz/widget/model/ModelFormField.java/#L1962-L2032	1	5744	14137
1860	{ "output": "YES I found bad smells the bad smells are: 1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Sampler deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException { JsonNode node = jp.getCodec().readTree(jp); String type = node.get("type").asText(); switch (type) { case "uniform": { double lowerBound = node.get("lower").asDouble(); double upperBound = node.get("upper").asDouble(); checkArgument( lowerBound >= 0, "The lower bound of uniform distribution should be a non-negative number, " + "but found %s.", lowerBound); return fromRealDistribution(new UniformRealDistribution(lowerBound, upperBound)); } case "exp": { double mean = node.get("mean").asDouble(); return fromRealDistribution(new ExponentialDistribution(mean)); } case "normal": { double mean = node.get("mean").asDouble(); double stddev = node.get("stddev").asDouble(); checkArgument( mean >= 0, "The mean of normal distribution should be a non-negative number, but found %s.", mean); return fromRealDistribution(new NormalDistribution(mean, stddev)); } case "const": { double constant = node.get("const").asDouble(); checkArgument( constant >= 0, "The value of constant distribution should be a non-negative number, but found %s.", constant); return fromRealDistribution(new ConstantRealDistribution(constant)); } case "zipf": { double param = node.get("param").asDouble(); final double multiplier = node.has("multiplier") ? node.get("multiplier").asDouble() : 1.0; checkArgument( param > 1, "The parameter of the Zipf distribution should be > 1, but found %s.", param); checkArgument( multiplier >= 0, "The multiplier of the Zipf distribution should be >= 0, but found %s.", multiplier); final ZipfDistribution dist = new ZipfDistribution(100, param); return scaledSampler(fromIntegerDistribution(dist), multiplier); } default: { throw new IllegalArgumentException("Unknown distribution type: " + type); } } }	long method	1. long method	t	t	t			0	12221	https://github.com/apache/beam/blob/a956ff77a8448e5f2c12f6695fec608348b5ab60/sdks/java/io/synthetic/src/main/java/org/apache/beam/sdk/io/synthetic/SyntheticOptions.java/#L228-L289	1	1860	12221
2361	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings( "raw" ) private static void simpleGenericNameOf( StringBuilder sb, Type type ) { if( type instanceof Class ) { sb.append( ( (Class) type ).getSimpleName() ); } else if( type instanceof ParameterizedType ) { ParameterizedType pt = (ParameterizedType) type; simpleGenericNameOf( sb, pt.getRawType() ); sb.append( "<" ); boolean atLeastOne = false; for( Type typeArgument : pt.getActualTypeArguments() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } sb.append( ">" ); } else if( type instanceof GenericArrayType ) { GenericArrayType gat = (GenericArrayType) type; simpleGenericNameOf( sb, gat.getGenericComponentType() ); sb.append( "[]" ); } else if( type instanceof TypeVariable ) { TypeVariable tv = (TypeVariable) type; sb.append( tv.getName() ); } else if( type instanceof WildcardType ) { WildcardType wt = (WildcardType) type; sb.append( "? extends " ); boolean atLeastOne = false; for( Type typeArgument : wt.getUpperBounds() ) { if( atLeastOne ) { sb.append( ", " ); } simpleGenericNameOf( sb, typeArgument ); atLeastOne = true; } } else { throw new IllegalArgumentException( "Don't know how to deal with type:" + type ); } }	long method	long method	t	t	t			0	14251	https://github.com/apache/attic-polygene-java/blob/031beef870302a0bd01bd5895ce849e00f2d5d5b/core/api/src/main/java/org/apache/polygene/api/util/Classes.java/#L288-L342	1	2361	14251
1348	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String getNamespaceURI(Node node) { if (node instanceof Document) { node = ((Document) node).getDocumentElement(); } Element element = (Element) node; String uri = element.getNamespaceURI(); if (uri == null) { String prefix = getPrefix(node); String qname = prefix == null ? "xmlns" : "xmlns:" + prefix; Node aNode = node; while (aNode != null) { if (aNode.getNodeType() == Node.ELEMENT_NODE) { Attr attr = ((Element) aNode).getAttributeNode(qname); if (attr != null) { uri = attr.getValue(); break; } } aNode = aNode.getParentNode(); } } return "".equals(uri) ? null : uri; }	long method	long method	t	t	t			0	10753	https://github.com/apache/commons-jxpath/blob/eff47ab8ca52fdbc91d1313cc224324465dd043e/src/main/java/org/apache/commons/jxpath/ri/model/dom/DOMNodePointer.java/#L672-L697	1	1348	10753
1583	Yes I found bad smells: 1. Long method, 2. Feature envy, 3. Duplicate code, 4. Complex conditional logic (if statements nested within other if statements), 5. Misleading comments (commented out code that is not being used), 6. Manual exception handling rather than using a try-catch block.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static Class findProviderClass(String className, ClassLoader cl, boolean doFallback) throws ClassNotFoundException, ConfigurationError { //throw security exception if the calling thread is not allowed to access the //class. Restrict the access to the package classes as specified in java.security policy. SecurityManager security = System.getSecurityManager(); try{ if (security != null){ final int lastDot = className.lastIndexOf('.'); String packageName = className; if (lastDot != -1) packageName = className.substring(0, lastDot); security.checkPackageAccess(packageName); } }catch(SecurityException e){ throw e; } Class providerClass; if (cl == null) { // XXX Use the bootstrap ClassLoader. There is no way to // load a class using the bootstrap ClassLoader that works // in both JDK 1.1 and Java 2. However, this should still // work b/c the following should be true: // // (cl == null) iff current ClassLoader == null // // Thus Class.forName(String) will use the current // ClassLoader which will be the bootstrap ClassLoader. providerClass = Class.forName(className); } else { try { providerClass = cl.loadClass(className); } catch (ClassNotFoundException x) { if (doFallback) { // Fall back to current classloader ClassLoader current = ObjectFactory.class.getClassLoader(); if (current == null) { providerClass = Class.forName(className); } else if (cl != current) { cl = current; providerClass = cl.loadClass(className); } else { throw x; } } else { throw x; } } } return providerClass; }	long method	Long method, 2 Feature envy, 3 Duplicate code, 4 Complex conditional logic (if statements nested within other if statements), 5 Misleading comments (commented out code that is not being used), 6 Manual exception handling rather than using a try-catch block	t	f	t	2. Feature envy, 3. Duplicate code, 4. Complex conditional logic (if statements nested within other if statements), 5. Misleading comments (commented out code that is not being used), 6. Manual exception handling rather than using a try-catch block.		0	11365	https://github.com/apache/servicemix-bundles/blob/5f2c7727f71c167997947ad4604f9b8200952af2/xalan-2.7.2/src/main/java/org/apache/xalan/xsltc/runtime/ObjectFactory.java/#L477-L529	2	1583	11365
2499	YES, I found bad smells the bad smells are: 1.Long method, 2.Unnecessary variable, 3.Magic number, 4.Duplicate code, 5.Inconsistent naming conventions, 6.Feature envy, 7.Inappropriate comments, 8.Unnecessary nesting, 9.Exception handling, 10.Unnecessary null check, 11.Switch statement.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void onTrigger(final ProcessContext context, final ProcessSession session) { List flowFiles = session.get(context.getProperty(BATCH_SIZE).evaluateAttributeExpressions().asInteger()); if (flowFiles == null || flowFiles.size() == 0) { return; } Map keysToFlowFileMap = new HashMap<>(); final String table = context.getProperty(TABLE).evaluateAttributeExpressions().getValue(); final String hashKeyName = context.getProperty(HASH_KEY_NAME).evaluateAttributeExpressions().getValue(); final String hashKeyValueType = context.getProperty(HASH_KEY_VALUE_TYPE).getValue(); final String rangeKeyName = context.getProperty(RANGE_KEY_NAME).evaluateAttributeExpressions().getValue(); final String rangeKeyValueType = context.getProperty(RANGE_KEY_VALUE_TYPE).getValue(); final String jsonDocument = context.getProperty(JSON_DOCUMENT).evaluateAttributeExpressions().getValue(); final String charset = context.getProperty(DOCUMENT_CHARSET).evaluateAttributeExpressions().getValue(); TableWriteItems tableWriteItems = new TableWriteItems(table); for (FlowFile flowFile : flowFiles) { final Object hashKeyValue = getValue(context, HASH_KEY_VALUE_TYPE, HASH_KEY_VALUE, flowFile); final Object rangeKeyValue = getValue(context, RANGE_KEY_VALUE_TYPE, RANGE_KEY_VALUE, flowFile); if (!isHashKeyValueConsistent(hashKeyName, hashKeyValue, session, flowFile)) { continue; } if (!isRangeKeyValueConsistent(rangeKeyName, rangeKeyValue, session, flowFile)) { continue; } if (!isDataValid(flowFile, jsonDocument)) { flowFile = session.putAttribute(flowFile, AWS_DYNAMO_DB_ITEM_SIZE_ERROR, "Max size of item + attribute should be 400kb but was " + flowFile.getSize() + jsonDocument.length()); session.transfer(flowFile, REL_FAILURE); continue; } ByteArrayOutputStream baos = new ByteArrayOutputStream(); session.exportTo(flowFile, baos); try { if (rangeKeyValue == null || StringUtils.isBlank(rangeKeyValue.toString())) { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } else { tableWriteItems.addItemToPut(new Item().withKeyComponent(hashKeyName, hashKeyValue) .withKeyComponent(rangeKeyName, rangeKeyValue) .withJSON(jsonDocument, IOUtils.toString(baos.toByteArray(), charset))); } } catch (IOException ioe) { getLogger().error("IOException while creating put item : " + ioe.getMessage()); flowFile = session.putAttribute(flowFile, DYNAMODB_ITEM_IO_ERROR, ioe.getMessage()); session.transfer(flowFile, REL_FAILURE); } keysToFlowFileMap.put(new ItemKeys(hashKeyValue, rangeKeyValue), flowFile); } if (keysToFlowFileMap.isEmpty()) { return; } final DynamoDB dynamoDB = getDynamoDB(); try { BatchWriteItemOutcome outcome = dynamoDB.batchWriteItem(tableWriteItems); handleUnprocessedItems(session, keysToFlowFileMap, table, hashKeyName, hashKeyValueType, rangeKeyName, rangeKeyValueType, outcome); // Handle any remaining flowfiles for (FlowFile flowFile : keysToFlowFileMap.values()) { getLogger().debug("Successful posted items to dynamodb : " + table); session.transfer(flowFile, REL_SUCCESS); } } catch (AmazonServiceException exception) { getLogger().error("Could not process flowFiles due to service exception : " + exception.getMessage()); List failedFlowFiles = processServiceException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (AmazonClientException exception) { getLogger().error("Could not process flowFiles due to client exception : " + exception.getMessage()); List failedFlowFiles = processClientException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } catch (Exception exception) { getLogger().error("Could not process flowFiles due to exception : " + exception.getMessage()); List failedFlowFiles = processException(session, flowFiles, exception); session.transfer(failedFlowFiles, REL_FAILURE); } }	long method	Long method, 2Unnecessary variable, 3Magic number, 4Duplicate code, 5Inconsistent naming conventions, 6Feature envy, 7Inappropriate comments, 8Unnecessary nesting, 9Exception handling,	t	f	t	2.Unnecessary variable, 3.Magic number, 4.Duplicate code, 5.Inconsistent naming conventions, 6.Feature envy, 7.Inappropriate comments, 8.Unnecessary nesting, 9.Exception handling,		0	14652	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/dynamodb/PutDynamoDB.java/#L100-L188	2	2499	14652
1744	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicated code 4. Conditional complexity 5. Inconsistent naming convention 6. Confusing variable names 7. Lack of comments/documentation 8. Use of magic numbers or strings	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override @Nullable public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { // Invocation on EntityManager interface coming in... if (method.getName().equals("equals")) { // Only consider equal when proxies are identical. return (proxy == args[0]); } else if (method.getName().equals("hashCode")) { // Use hashCode of EntityManager proxy. return hashCode(); } else if (method.getName().equals("toString")) { // Deliver toString without touching a target EntityManager. return "Shared EntityManager proxy for target factory [" + this.targetFactory + "]"; } else if (method.getName().equals("getEntityManagerFactory")) { // JPA 2.0: return EntityManagerFactory without creating an EntityManager. return this.targetFactory; } else if (method.getName().equals("getCriteriaBuilder") || method.getName().equals("getMetamodel")) { // JPA 2.0: return EntityManagerFactory's CriteriaBuilder/Metamodel (avoid creation of EntityManager) try { return EntityManagerFactory.class.getMethod(method.getName()).invoke(this.targetFactory); } catch (InvocationTargetException ex) { throw ex.getTargetException(); } } else if (method.getName().equals("unwrap")) { // JPA 2.0: handle unwrap method - could be a proxy match. Class targetClass = (Class) args[0]; if (targetClass != null && targetClass.isInstance(proxy)) { return proxy; } } else if (method.getName().equals("isOpen")) { // Handle isOpen method: always return true. return true; } else if (method.getName().equals("close")) { // Handle close method: suppress, not valid. return null; } else if (method.getName().equals("getTransaction")) { throw new IllegalStateException( "Not allowed to create transaction on shared EntityManager - " + "use Spring transactions or EJB CMT instead"); } // Determine current EntityManager: either the transactional one // managed by the factory or a temporary one for the given invocation. EntityManager target = EntityManagerFactoryUtils.doGetTransactionalEntityManager( this.targetFactory, this.properties, this.synchronizedWithTransaction); if (method.getName().equals("getTargetEntityManager")) { // Handle EntityManagerProxy interface. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } return target; } else if (method.getName().equals("unwrap")) { Class targetClass = (Class) args[0]; if (targetClass == null) { return (target != null ? target : proxy); } // We need a transactional target now. if (target == null) { throw new IllegalStateException("No transactional EntityManager available"); } // Still perform unwrap call on target EntityManager. } else if (transactionRequiringMethods.contains(method.getName())) { // We need a transactional target now, according to the JPA spec. // Otherwise, the operation would get accepted but remain unflushed... if (target == null || (!TransactionSynchronizationManager.isActualTransactionActive() && !target.getTransaction().isActive())) { throw new TransactionRequiredException("No EntityManager with actual transaction available " + "for current thread - cannot reliably process '" + method.getName() + "' call"); } } // Regular EntityManager operations. boolean isNewEm = false; if (target == null) { logger.debug("Creating new EntityManager for shared EntityManager invocation"); target = (!CollectionUtils.isEmpty(this.properties) ? this.targetFactory.createEntityManager(this.properties) : this.targetFactory.createEntityManager()); isNewEm = true; } // Invoke method on current EntityManager. try { Object result = method.invoke(target, args); if (result instanceof Query) { Query query = (Query) result; if (isNewEm) { Class[] ifcs = ClassUtils.getAllInterfacesForClass(query.getClass(), this.proxyClassLoader); result = Proxy.newProxyInstance(this.proxyClassLoader, ifcs, new DeferredQueryInvocationHandler(query, target)); isNewEm = false; } else { EntityManagerFactoryUtils.applyTransactionTimeout(query, this.targetFactory); } } return result; } catch (InvocationTargetException ex) { throw ex.getTargetException(); } finally { if (isNewEm) { EntityManagerFactoryUtils.closeEntityManager(target); } } }	long method	Long method2 Feature envy3 Duplicated code4 Conditional complexity 5 Inconsistent naming convention 6 Confusing variable names 7 Lack of comments/documentation 8 Use of magic numbers or strings	t	f	t			0	11849	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-orm/src/main/java/org/springframework/orm/jpa/SharedEntityManagerCreator.java/#L212-L331	2	1744	11849
966	YES, I found bad smells 1. Long Method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void alterTableStatsForTruncate(RawStore ms, String catName, String dbName, String tableName, Table table, List partNames, String validWriteIds, long writeId) throws Exception { if (partNames == null) { if (0 != table.getPartitionKeysSize()) { for (Partition partition : ms.getPartitions(catName, dbName, tableName, Integer.MAX_VALUE)) { alterPartitionForTruncate(ms, catName, dbName, tableName, table, partition, validWriteIds, writeId); } } else { EnvironmentContext environmentContext = new EnvironmentContext(); updateStatsForTruncate(table.getParameters(), environmentContext); if (!transactionalListeners.isEmpty()) { MetaStoreListenerNotifier.notifyEvent(transactionalListeners, EventType.ALTER_TABLE, new AlterTableEvent(table, table, true, true, writeId, this)); } if (!listeners.isEmpty()) { MetaStoreListenerNotifier.notifyEvent(listeners, EventType.ALTER_TABLE, new AlterTableEvent(table, table, true, true, writeId, this)); } // TODO: this should actually pass thru and set writeId for txn stats. if (writeId > 0) { table.setWriteId(writeId); } alterHandler.alterTable(ms, wh, catName, dbName, tableName, table, environmentContext, this, validWriteIds); } } else { for (Partition partition : ms.getPartitionsByNames(catName, dbName, tableName, partNames)) { alterPartitionForTruncate(ms, catName, dbName, tableName, table, partition, validWriteIds, writeId); } } return; }	long method	Long Method2 Feature Envy	t	f	t			0	8633	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-server/src/main/java/org/apache/hadoop/hive/metastore/HiveMetaStore.java/#L2854-L2895	2	966	8633
1861	{ "output": "YES, I did find bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	long method	t	t	t			0	12222	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	1	1861	12222
5324	YES I found bad smells The bad smells are: 1.Feature envy 2.Long method 3.Inconsistent spacing and indentation 4.Magic numbers (PigConfiguration.PIG_ATS_ENABLED) 5.Multiple conditionals in one line (Boolean.parseBoolean calls) 6.Coupled classes (PigATSClient)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public PigServer(PigContext context, boolean connect) throws ExecException { this.pigContext = context; currDAG = new Graph(false); jobName = pigContext.getProperties().getProperty( PigContext.JOB_NAME, PigContext.JOB_NAME_PREFIX + ":DefaultJobName"); if (connect) { pigContext.connect(); } this.filter = new BlackAndWhitelistFilter(this); addHadoopProperties(); addJarsFromProperties(); markPredeployedJarsFromProperties(); if (ScriptState.get() == null) { // If Pig was started via command line, ScriptState should have been // already initialized in Main. If so, we should not overwrite it. ScriptState.start(pigContext.getExecutionEngine().instantiateScriptState()); } PigStats.start(pigContext.getExecutionEngine().instantiatePigStats()); // log ATS event includes the caller context String auditId = PigATSClient.getPigAuditId(pigContext); String callerId = (String)pigContext.getProperties().get(PigConfiguration.PIG_LOG_TRACE_ID); log.info("Pig Script ID for the session: " + auditId); if (callerId != null) { log.info("Caller ID for session: " + callerId); } if (Boolean.parseBoolean(pigContext.getProperties() .getProperty(PigConfiguration.PIG_ATS_ENABLED))) { if (Boolean.parseBoolean(pigContext.getProperties() .getProperty("yarn.timeline-service.enabled", "false"))) { PigATSClient.ATSEvent event = new PigATSClient.ATSEvent(auditId, callerId); try { PigATSClient.getInstance().logEvent(event); } catch (Exception e) { log.warn("Error posting to ATS: ", e); } } else { log.warn("ATS is disabled since" + " yarn.timeline-service.enabled set to false"); } } // set hdfs caller context Class callerContextClass = null; try { callerContextClass = Class.forName("org.apache.hadoop.ipc.CallerContext"); } catch (ClassNotFoundException e) { // If pre-Hadoop 2.8.0, skip setting CallerContext } if (callerContextClass != null) { try { // Reflection for the following code since it is only available since hadoop 2.8.0: // CallerContext hdfsContext = new CallerContext.Builder(auditId).build(); // CallerContext.setCurrent(hdfsContext); Class callerContextBuilderClass = Class.forName("org.apache.hadoop.ipc.CallerContext$Builder"); Constructor callerContextBuilderConstruct = callerContextBuilderClass.getConstructor(String.class); Object builder = callerContextBuilderConstruct.newInstance(auditId); Method builderBuildMethod = builder.getClass().getMethod("build"); Object hdfsContext = builderBuildMethod.invoke(builder); Method callerContextSetCurrentMethod = callerContextClass.getMethod("setCurrent", hdfsContext.getClass()); callerContextSetCurrentMethod.invoke(callerContextClass, hdfsContext); } catch (Exception e) { // Shall not happen unless API change in future Hadoop commons throw new ExecException(e); } } }	long method	Feature envy2Long method3Inconsistent spacing and indentation4Magic numbers (PigConfigurationPIG_ATS_ENABLED)5Multiple conditionals in one line (BooleanparseBoolean calls)6Coupled classes (PigATSClient)	t	f	t			0	14946	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/PigServer.java/#L223-L296	2	5324	14946
3707	YES I found bad smells the bad smells are: 1.Long method, 2.Feature envy, 3.Magic number, 4.Throws declaration, 5.Overutilization of try-catch blocks, 6.Duplicate code, 7.Potentially unnecessary variable assignment, 8.Inconsistent naming conventions.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Future monitorUntil(final ActiveAnnotationContext ctx, final CancelIndicator cancelIndicator, final Function0 isFinished) { Future _xblockexpression = null; { final Runnable _function = () -> { try { while ((!(isFinished.apply()).booleanValue())) { { boolean _isCanceled = cancelIndicator.isCanceled(); if (_isCanceled) { CompilationUnitImpl _compilationUnit = ctx.getCompilationUnit(); _compilationUnit.setCanceled(true); return; } Thread.sleep(100); } } } catch (Throwable _e) { throw Exceptions.sneakyThrow(_e); } }; final Runnable r = _function; Future _xtrycatchfinallyexpression = null; try { _xtrycatchfinallyexpression = this.pool.submit(r); } catch (final Throwable _t) { if (_t instanceof RejectedExecutionException) { final RejectedExecutionException e = (RejectedExecutionException)_t; AnnotationProcessor.CancellationObserver.log.debug(e.getMessage(), e); new Thread(r).start(); } else { throw Exceptions.sneakyThrow(_t); } } _xblockexpression = _xtrycatchfinallyexpression; } return _xblockexpression; }	long method	Long method, 2Feature envy, 3Magic number, 4Throws declaration, 5Overutilization of try-catch blocks, 6Duplicate code, 7Potentially unnecessary variable assignment, 8Inconsistent naming conventions	t	f	t	2.Feature envy, 3.Magic number, 4.Throws declaration, 5.Overutilization of try-catch blocks, 6.Duplicate code, 7.Potentially unnecessary variable assignment, 8.Inconsistent naming conventions.		0	8853	https://github.com/eclipse/xtext-xtend/blob/20500a324127e3ee73cb793a13430ee140246fa7/org.eclipse.xtend.core/xtend-gen/org/eclipse/xtend/core/macro/AnnotationProcessor.java/#L69-L105	2	3707	8853
4334	YES We found bad smells: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public List> getNamedContexts(final SerializationContextMap map) { final ArrayList> result = CollectionLiterals.>newArrayList(); final HashMap names = CollectionLiterals.newHashMap(); List> _values = map.values(); for (final SerializationContextMap.Entry e : _values) { Set _types = e.getTypes(); for (final EClass t : _types) { { final List ctx = e.getContexts(t); String _xifexpression = null; if ((t == null)) { _xifexpression = ""; } else { _xifexpression = t.getName(); } String _plus = (_xifexpression + "_"); String _significantGrammarElement = this.getSignificantGrammarElement(ctx); final String name = (_plus + _significantGrammarElement); final Integer dup = names.get(name); String _xifexpression_1 = null; if ((dup == null)) { String _xblockexpression = null; { names.put(name, Integer.valueOf(1)); _xblockexpression = name; } _xifexpression_1 = _xblockexpression; } else { String _xblockexpression_1 = null; { names.put(name, Integer.valueOf(((dup).intValue() + 1))); _xblockexpression_1 = ((name + "_") + dup); } _xifexpression_1 = _xblockexpression_1; } final String unique = _xifexpression_1; T _value = e.getValue(); NamedSerializationContexts _namedSerializationContexts = new NamedSerializationContexts(unique, t, ctx, _value); result.add(_namedSerializationContexts); } } } return result; }	long method	Long method2 Feature envy	t	f	t			0	11444	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.xtext.generator/xtend-gen/org/eclipse/xtext/xtext/generator/serializer/NamedSerializationContextProvider.java/#L45-L88	2	4334	11444
1461	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected float removeInstanceTime(InstanceTime time, boolean isBegin) { // Trace.enter(this, "removeInstanceTime", new Object[] { time, new Boolean(isBegin) } ); try { hasPropagated = true; List instanceTimes = isBegin ? beginInstanceTimes : endInstanceTimes; int index = Collections.binarySearch(instanceTimes, time); for (int i = index; i >= 0; i--) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } int len = instanceTimes.size(); for (int i = index + 1; i < len; i++) { InstanceTime it = (InstanceTime) instanceTimes.get(i); if (it == time) { instanceTimes.remove(i); break; } if (it.compareTo(time) != 0) { break; } } shouldUpdateCurrentInterval = true; float ret; if (root.isSampling() && !isSampling) { ret = sampleAt(root.getCurrentTime(), root.isHyperlinking()); } else { ret = Float.POSITIVE_INFINITY; } hasPropagated = false; root.currentIntervalWillUpdate(); return ret; // } finally { Trace.exit(); } }	long method	long method	t	t	t			0	11023	https://github.com/apache/batik/blob/8b9b758641a11c43c4e9493386268fa0dc5c7efb/batik-anim/src/main/java/org/apache/batik/anim/timing/TimedElement.java/#L306-L343	1	1461	11023
423	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected JvmField createField(Field field) { JvmField result; int modifiers = field.getModifiers(); if (!field.isEnumConstant()) { result = TypesFactory.eINSTANCE.createJvmField(); } else result = TypesFactory.eINSTANCE.createJvmEnumerationLiteral(); String fieldName = field.getName(); result.internalSetIdentifier(field.getDeclaringClass().getName() + "." + fieldName); result.setSimpleName(fieldName); result.setFinal(Modifier.isFinal(modifiers)); result.setStatic(Modifier.isStatic(modifiers)); result.setTransient(Modifier.isTransient(modifiers)); result.setVolatile(Modifier.isVolatile(modifiers)); setVisibility(result, modifiers); Type fieldType = null; try { fieldType = field.getGenericType(); } catch (GenericSignatureFormatError error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } catch (MalformedParameterizedTypeException error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } result.setType(createTypeReference(fieldType)); createAnnotationValues(field, result); return result; }	long method	long method, data class	t	t	t	data class		0	4247	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.common.types/src/org/eclipse/xtext/common/types/access/reflect/ReflectionTypeFactory.java/#L618-L646	1	423	4247
642	{ "message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	long method	t	t	t			0	6353	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	1	642	6353
544	{"message": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String getOatFileInstructionSet(File oatFile) throws Throwable { ShareElfFile elfFile = null; String result = ""; try { elfFile = new ShareElfFile(oatFile); final ShareElfFile.SectionHeader roDataHdr = elfFile.getSectionHeaderByName(".rodata"); if (roDataHdr == null) { throw new IOException("Unable to find .rodata section."); } final FileChannel channel = elfFile.getChannel(); channel.position(roDataHdr.shOffset); final byte[] oatMagicAndVersion = new byte[8]; ShareElfFile.readUntilLimit(channel, ByteBuffer.wrap(oatMagicAndVersion), "Failed to read oat magic and version."); if (oatMagicAndVersion[0] != 'o' || oatMagicAndVersion[1] != 'a' || oatMagicAndVersion[2] != 't' || oatMagicAndVersion[3] != '\n') { throw new IOException( String.format("Bad oat magic: %x %x %x %x", oatMagicAndVersion[0], oatMagicAndVersion[1], oatMagicAndVersion[2], oatMagicAndVersion[3]) ); } final int versionOffsetFromOatBegin = 4; final int versionBytes = 3; final String oatVersion = new String(oatMagicAndVersion, versionOffsetFromOatBegin, versionBytes, Charset.forName("ASCII")); try { Integer.parseInt(oatVersion); } catch (NumberFormatException e) { throw new IOException("Bad oat version: " + oatVersion); } ByteBuffer buffer = ByteBuffer.allocate(128); buffer.order(elfFile.getDataOrder()); // TODO This is a risk point, since each oat version may use a different offset. // So far it's ok. Perhaps we should use oatVersionNum to judge the right offset in // the future. final int isaNumOffsetFromOatBegin = 12; channel.position(roDataHdr.shOffset + isaNumOffsetFromOatBegin); buffer.limit(4); ShareElfFile.readUntilLimit(channel, buffer, "Failed to read isa num."); int isaNum = buffer.getInt(); if (isaNum < 0 || isaNum >= InstructionSet.values().length) { throw new IOException("Bad isa num: " + isaNum); } switch (InstructionSet.values()[isaNum]) { case kArm: case kThumb2: result = "arm"; break; case kArm64: result = "arm64"; break; case kX86: result = "x86"; break; case kX86_64: result = "x86_64"; break; case kMips: result = "mips"; break; case kMips64: result = "mips64"; break; case kNone: result = "none"; break; default: throw new IOException("Should not reach here."); } } finally { if (elfFile != null) { try { elfFile.close(); } catch (Exception ignored) { // Ignored. } } } return result; }	long method	1. long method	t	t	f		long method	0	5546	https://github.com/Tencent/tinker/blob/7523900600317ebd618f3505434176b381bd0bc2/tinker-android/tinker-android-loader/src/main/java/com/tencent/tinker/loader/shareutil/ShareOatUtil.java/#L48-L139	1	544	5546
1484	{"message": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public WikiPage getPageInfo( String page, int version ) throws ProviderException { int latest = findLatestVersion(page); int realVersion; WikiPage p = null; if( version == WikiPageProvider.LATEST_VERSION || version == latest || (version == 1 && latest == -1) ) { // // Yes, we need to talk to the top level directory // to get this version. // // I am listening to Press Play On Tape's guitar version of // the good old C64 "Wizardry" -tune at this moment. // Oh, the memories... // realVersion = (latest >= 0) ? latest : 1; p = super.getPageInfo( page, WikiPageProvider.LATEST_VERSION ); if( p != null ) { p.setVersion( realVersion ); } } else { // // The file is not the most recent, so we'll need to // find it from the deep trenches of the "OLD" directory // structure. // realVersion = version; File dir = findOldPageDir( page ); if( !dir.exists() || !dir.isDirectory() ) { return null; } File file = new File( dir, version+FILE_EXT ); if( file.exists() ) { p = new WikiPage( m_engine, page ); p.setLastModified( new Date(file.lastModified()) ); p.setVersion( version ); } } // // Get author and other metadata information // (Modification date has already been set.) // if( p != null ) { try { Properties props = getPageProperties( page ); String author = props.getProperty( realVersion+".author" ); if ( author == null ) { // we might not have a versioned author because the // old page was last maintained by FileSystemProvider Properties props2 = getHeritagePageProperties( page ); author = props2.getProperty( WikiPage.AUTHOR ); } if ( author != null ) { p.setAuthor( author ); } String changenote = props.getProperty( realVersion+".changenote" ); if( changenote != null ) p.setAttribute( WikiPage.CHANGENOTE, changenote ); // Set the props values to the page attributes setCustomProperties(p, props); } catch( IOException e ) { log.error( "Cannot get author for page"+page+": ", e ); } } return p; }	long method	long method	t	t	t			0	11088	https://github.com/apache/jspwiki/blob/820684992fa0b736505506d6810fdcdf7ad2dbb5/jspwiki-main/src/main/java/org/apache/wiki/providers/VersioningFileProvider.java/#L540-L631	1	1484	11088
662	{"message": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public final Element getDocumentElement() { int dochandle=dtm.getDocument(); int elementhandle=DTM.NULL; for(int kidhandle=dtm.getFirstChild(dochandle); kidhandle!=DTM.NULL; kidhandle=dtm.getNextSibling(kidhandle)) { switch(dtm.getNodeType(kidhandle)) { case Node.ELEMENT_NODE: if(elementhandle!=DTM.NULL) { elementhandle=DTM.NULL; // More than one; ill-formed. kidhandle=dtm.getLastChild(dochandle); // End loop } else elementhandle=kidhandle; break; // These are harmless; document is still wellformed case Node.COMMENT_NODE: case Node.PROCESSING_INSTRUCTION_NODE: case Node.DOCUMENT_TYPE_NODE: break; default: elementhandle=DTM.NULL; // ill-formed kidhandle=dtm.getLastChild(dochandle); // End loop break; } } if(elementhandle==DTM.NULL) throw new DTMDOMException(DOMException.NOT_SUPPORTED_ERR); else return (Element)(dtm.getNode(elementhandle)); }	long method	long method	t	t	t			0	6455	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xml/internal/dtm/ref/DTMNodeProxy.java/#L619-L656	1	662	6455
141	{ "response": "YES I found bad smells", "details": { "the bad smells are": [ "Long method" ] } }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void sequence(ISerializationContext context, EObject semanticObject) { EPackage epackage = semanticObject.eClass().getEPackage(); ParserRule rule = context.getParserRule(); Action action = context.getAssignedAction(); Set parameters = context.getEnabledBooleanParameters(); if (epackage == Bug250313Package.eINSTANCE) switch (semanticObject.eClass().getClassifierID()) { case Bug250313Package.CHILD1: sequence_Child1(context, (Child1) semanticObject); return; case Bug250313Package.CHILD2: sequence_Child2(context, (Child2) semanticObject); return; case Bug250313Package.MODEL: sequence_Model(context, (Model) semanticObject); return; } if (errorAcceptor != null) errorAcceptor.accept(diagnosticProvider.createInvalidContextOrTypeDiagnostic(semanticObject, context)); }	long method	the bad smells are: long method	t	t	t			0	1773	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.tests/src-gen/org/eclipse/xtext/valueconverter/serializer/Bug250313SemanticSequencer.java/#L29-L49	2	141	1773
1454	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Transactional(propagation = Propagation.MANDATORY) public Map> loadBookmarkItemsByBookmarkIds(Collection bookmarkIds) { if (bookmarkIds == null || bookmarkIds.isEmpty()) { return Collections.emptyMap(); } Long listId = daoHelper.createTempLongList(bookmarkIds); Map> itemsMap = new HashMap<>(); getJdbcTemplate().query(loadBookmarksItemsQuery, rs -> { BiologicalDataItem dataItem = BiologicalDataItemDao.BiologicalDataItemParameters.getRowMapper() .mapRow(rs, 0); long bookmarkId = rs.getLong(BookmarkItemParameters.BOOKMARK_ID.name()); if (!itemsMap.containsKey(bookmarkId)) { itemsMap.put(bookmarkId, new ArrayList<>()); } itemsMap.get(bookmarkId).add(dataItem); }, listId); daoHelper.clearTempList(listId); return itemsMap; }	long method	Long method2 Feature envy	t	f	t			0	11007	https://github.com/epam/NGB/blob/340504529fc576eeec92fbae636e437ce486cc4a/server/catgenome/src/main/java/com/epam/catgenome/dao/reference/BookmarkDao.java/#L184-L205	2	1454	11007
891	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected void createButtonGroup( Group grpTop ) { btnAdd = new Button( grpTop, SWT.NONE ); { btnAdd.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Add" ) ); //$NON-NLS-1$ btnAdd.addSelectionListener( this ); } newMarkerEditor = new MarkerEditorComposite( grpTop, createMarker( ), getContext( ), getDefaultMarker( ) ); if ( markerTypeSet != null ) { newMarkerEditor.setSupportedMarkerTypes( markerTypeSet ); } if ( outlineText != null ) { newMarkerEditor.setOutlineText( outlineText ); } btnRemove = new Button( grpTop, SWT.NONE ); { btnRemove.setText( Messages.getString( "LineSeriesMarkerSheet.Label.Remove" ) ); //$NON-NLS-1$ btnRemove.addSelectionListener( this ); } btnUp = new Button( grpTop, SWT.ARROW | SWT.UP ); { btnUp.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Up" ) ); //$NON-NLS-1$ btnUp.addSelectionListener( this ); } btnDown = new Button( grpTop, SWT.ARROW | SWT.DOWN ); { btnDown.setToolTipText( Messages.getString( "PaletteEditorComposite.Lbl.Down" ) ); //$NON-NLS-1$ btnDown.addSelectionListener( this ); } }	long method	long method	t	t	t			0	8095	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/wizard/format/popup/series/LineSeriesMarkerSheet.java/#L402-L440	1	891	8095
2135	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void afterValue( K key, V value ) throws LdapException, CursorException { checkNotClosed(); /* * There is a subtle difference between after and before handling * with duplicate key values. Say we have the following tuples: * * (0, 0) * (1, 1) * (1, 2) * (1, 3) * (2, 2) * * If we request an after cursor on (1, 2). We must make sure that * the container cursor does not advance after the entry with key 1 * since this would result in us skip returning (1. 3) on the call to * next which will incorrectly return (2, 2) instead. * * So if the value is null in the element then we don't care about * this obviously since we just want to advance past the duplicate key * values all together. But when it is not null, then we want to * go right before this key instead of after it. */ if ( value == null ) { containerCursor.after( new Tuple>( key, null ) ); } else { containerCursor.before( new Tuple>( key, null ) ); } if ( containerCursor.next() ) { containerTuple.setBoth( containerCursor.get() ); DupsContainer values = containerTuple.getValue(); if ( values.isArrayTree() ) { ArrayTree set = values.getArrayTree(); dupsCursor = new ArrayTreeCursor<>( set ); } else { try { BTree tree = table.getBTree( values.getBTreeRedirect() ); dupsCursor = new KeyBTreeCursor<>( tree, table.getValueComparator() ); } catch ( IOException e ) { throw new CursorException( e ); } } if ( value == null ) { return; } // only advance the dupsCursor if we're on same key if ( table.getKeyComparator().compare( containerTuple.getKey(), key ) == 0 ) { dupsCursor.after( value ); } return; } clearValue(); containerTuple.setKey( null ); containerTuple.setValue( null ); }	long method	long method	t	t	t			0	13243	https://github.com/apache/directory-server/blob/310007cc1c7eb5415f93bed67d5553bc70980820/jdbm-partition/src/main/java/org/apache/directory/server/core/partition/impl/btree/jdbm/DupsCursor.java/#L174-L247	1	2135	13243
938	YES I found bad smells The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ICompletionProposal[] getRelevantProposals( ITextViewer viewer, int offset ) throws BadLocationException { if ( lastProposals != null ) { ArrayList relevantProposals = new ArrayList( 10 ); String word = ( findWord( viewer, offset - 1 ) ).toLowerCase( ); //Search for this word in the list for ( int n = 0; n < lastProposals.length; n++ ) { if ( stripQuotes( lastProposals[n].getDisplayString( ) .toLowerCase( ) ).startsWith( word ) ) { CompletionProposal proposal = new CompletionProposal( lastProposals[n].getDisplayString( ), offset - word.length( ), word.length( ), lastProposals[n].getDisplayString( ).length( ) ); relevantProposals.add( proposal ); } } if ( relevantProposals.size( ) > 0 ) { return (ICompletionProposal[]) relevantProposals.toArray( new ICompletionProposal[]{} ); } } return null; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	8427	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/data/org.eclipse.birt.report.data.oda.jdbc.ui/src/org/eclipse/birt/report/data/oda/jdbc/ui/editors/JdbcSQLContentAssistProcessor.java/#L278-L308	2	938	8427
2065	YES I found bad smells. The bad smells are: 1. Long method 2. Duplicate code 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void walker(List> finalResult, final List> input, List listSoFar, final int level) throws SemanticException { // Base case. if (level == (input.size() - 1)) { assert (input.get(level) != null) : "Unique skewed element list has null list in " + level + "th position."; for (String v : input.get(level)) { List oneCompleteIndex = new ArrayList(listSoFar); oneCompleteIndex.add(v); finalResult.add(oneCompleteIndex); } return; } // Recursive. for (String v : input.get(level)) { List clonedListSoFar = new ArrayList(listSoFar); clonedListSoFar.add(v); int nextLevel = level + 1; walker(finalResult, input, clonedListSoFar, nextLevel); } }	long method	Long method2 Duplicate code3 Feature envy	t	f	t			0	12987	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/ql/src/java/org/apache/hadoop/hive/ql/optimizer/listbucketingpruner/ListBucketingPruner.java/#L612-L633	2	2065	12987
1588	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void reset(XMLComponentManager componentManager) throws XMLConfigurationException { XMLSecurityPropertyManager spm = (XMLSecurityPropertyManager)componentManager.getProperty(XML_SECURITY_PROPERTY_MANAGER); if (spm == null) { spm = new XMLSecurityPropertyManager(); setProperty(XML_SECURITY_PROPERTY_MANAGER, spm); } XMLSecurityManager sm = (XMLSecurityManager)componentManager.getProperty(SECURITY_MANAGER); if (sm == null) setProperty(SECURITY_MANAGER,new XMLSecurityManager(true)); faccessExternalSchema = spm.getValue(XMLSecurityPropertyManager.Property.ACCESS_EXTERNAL_SCHEMA); fGrammarBucket.reset(); fSubGroupHandler.reset(); boolean parser_settings = true; // If the component manager is the loader config don't bother querying it since it doesn't // recognize the PARSER_SETTINGS feature. Prevents an XMLConfigurationException from being // thrown. if (componentManager != fLoaderConfig) { parser_settings = componentManager.getFeature(PARSER_SETTINGS, true); } if (!parser_settings || !fSettingsChanged){ // need to reprocess JAXP schema sources fJAXPProcessed = false; // reinitialize grammar bucket initGrammarBucket(); if (fDeclPool != null) { fDeclPool.reset(); } return; } //pass the component manager to the factory.. fNodeFactory.reset(componentManager); // get registered entity manager to be able to resolve JAXP schema-source property: // Note: in case XMLSchemaValidator has created the loader, // the entity manager property is null fEntityManager = (XMLEntityManager)componentManager.getProperty(ENTITY_MANAGER); // get the error reporter fErrorReporter = (XMLErrorReporter)componentManager.getProperty(ERROR_REPORTER); // Determine schema dv factory to use SchemaDVFactory dvFactory = null; dvFactory = fSchemaHandler.getDVFactory(); if (dvFactory == null) { dvFactory = SchemaDVFactory.getInstance(); fSchemaHandler.setDVFactory(dvFactory); } // get schema location properties try { fExternalSchemas = (String) componentManager.getProperty(SCHEMA_LOCATION); fExternalNoNSSchema = (String) componentManager.getProperty(SCHEMA_NONS_LOCATION); } catch (XMLConfigurationException e) { fExternalSchemas = null; fExternalNoNSSchema = null; } // get JAXP sources if available fJAXPSource = componentManager.getProperty(JAXP_SCHEMA_SOURCE, null); fJAXPProcessed = false; // clear grammars, and put the one for schema namespace there fGrammarPool = (XMLGrammarPool) componentManager.getProperty(XMLGRAMMAR_POOL, null); initGrammarBucket(); boolean psvi = componentManager.getFeature(AUGMENT_PSVI, false); // Only use the decl pool when there is no chance that the schema // components will be exposed or cached. // TODO: when someone calls loadGrammar(XMLInputSource), the schema is // always exposed even without the use of a grammar pool. // Disabling the "decl pool" feature for now until we understand when // it can be safely used. if (!psvi && fGrammarPool == null && false) { if (fDeclPool != null) { fDeclPool.reset(); } else { fDeclPool = new XSDeclarationPool(); } fCMBuilder.setDeclPool(fDeclPool); fSchemaHandler.setDeclPool(fDeclPool); if (dvFactory instanceof SchemaDVFactoryImpl) { fDeclPool.setDVFactory((SchemaDVFactoryImpl)dvFactory); ((SchemaDVFactoryImpl)dvFactory).setDeclPool(fDeclPool); } } else { fCMBuilder.setDeclPool(null); fSchemaHandler.setDeclPool(null); if (dvFactory instanceof SchemaDVFactoryImpl) { ((SchemaDVFactoryImpl)dvFactory).setDeclPool(null); } } // get continue-after-fatal-error feature try { boolean fatalError = componentManager.getFeature(CONTINUE_AFTER_FATAL_ERROR, false); if (!fatalError) { fErrorReporter.setFeature(CONTINUE_AFTER_FATAL_ERROR, fatalError); } } catch (XMLConfigurationException e) { } // set full validation to false fIsCheckedFully = componentManager.getFeature(SCHEMA_FULL_CHECKING, false); // get generate-synthetic-annotations feature fSchemaHandler.setGenerateSyntheticAnnotations(componentManager.getFeature(GENERATE_SYNTHETIC_ANNOTATIONS, false)); fSchemaHandler.reset(componentManager); }	long method	long method	t	t	t			0	11376	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml/share/classes/com/sun/org/apache/xerces/internal/impl/xs/XMLSchemaLoader.java/#L1000-L1116	1	1588	11376
650	{ "output": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void reloadExpectedTimeAndConfig(SLACalcStatus slaCalc) throws JPAExecutorException { SLARegistrationBean regBean = SLARegistrationQueryExecutor.getInstance().get( SLARegQuery.GET_SLA_EXPECTED_VALUE_CONFIG, slaCalc.getId()); if (regBean.getExpectedDuration() > 0) { slaCalc.getSLARegistrationBean().setExpectedDuration(regBean.getExpectedDuration()); } if (regBean.getExpectedEnd() != null) { slaCalc.getSLARegistrationBean().setExpectedEnd(regBean.getExpectedEnd()); } if (regBean.getExpectedStart() != null) { slaCalc.getSLARegistrationBean().setExpectedStart(regBean.getExpectedStart()); } if (regBean.getSLAConfigMap().containsKey(OozieClient.SLA_DISABLE_ALERT)) { slaCalc.getSLARegistrationBean().addToSLAConfigMap(OozieClient.SLA_DISABLE_ALERT, regBean.getSLAConfigMap().get(OozieClient.SLA_DISABLE_ALERT)); } if (regBean.getNominalTime() != null) { slaCalc.getSLARegistrationBean().setNominalTime(regBean.getNominalTime()); } }	long method	long method	t	t	t			0	6383	https://github.com/apache/oozie/blob/491e73ee9f941dfb25dfe92121fb033295ef42ee/core/src/main/java/org/apache/oozie/sla/SLACalculatorMemory.java/#L540-L560	1	650	6383
579	YES I found bad smells the bad smells are: 1.Long method, 2.Magic numbers, 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private Map tika_parse(InputStream sourceStream, String prefix, Integer maxAttribs, Integer maxAttribLen) throws IOException, TikaException, SAXException { final Metadata metadata = new Metadata(); final TikaInputStream tikaInputStream = TikaInputStream.get(sourceStream); try { autoDetectParser.parse(tikaInputStream, new DefaultHandler(), metadata); } finally { tikaInputStream.close(); } final Map results = new HashMap<>(); final Pattern metadataKeyFilter = metadataKeyFilterRef.get(); final StringBuilder dataBuilder = new StringBuilder(); for (final String key : metadata.names()) { if (metadataKeyFilter != null && !metadataKeyFilter.matcher(key).matches()) { continue; } dataBuilder.setLength(0); if (metadata.isMultiValued(key)) { for (String val : metadata.getValues(key)) { if (dataBuilder.length() > 1) { dataBuilder.append(", "); } if (dataBuilder.length() + val.length() < maxAttribLen) { dataBuilder.append(val); } else { dataBuilder.append("..."); break; } } } else { dataBuilder.append(metadata.get(key)); } if (prefix == null) { results.put(key, dataBuilder.toString().trim()); } else { results.put(prefix + key, dataBuilder.toString().trim()); } // cutoff at max if provided if (maxAttribs != null && results.size() >= maxAttribs) { break; } } return results; }	long method	Long method, 2Magic numbers, 3 Feature envy	t	f	t	2.Magic numbers, 3. Feature envy		0	5784	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-media-bundle/nifi-media-processors/src/main/java/org/apache/nifi/processors/media/ExtractMediaMetadata.java/#L210-L255	2	579	5784
2519	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	Long method2 Feature envy	t	f	t			0	14706	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	2	2519	14706
5777	{"response": "YES I found bad smells", "bad smells are:": "1. Long method"}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected Endpoint createEndpoint(final String uri, final String remaining, final Map parameters) throws Exception { final int concurrentConsumers = getAndRemoveParameter(parameters, "concurrentConsumers", Integer.class, defaultConcurrentConsumers); final boolean limitConcurrentConsumers = getAndRemoveParameter(parameters, "limitConcurrentConsumers", Boolean.class, true); if (limitConcurrentConsumers && concurrentConsumers > MAX_CONCURRENT_CONSUMERS) { throw new IllegalArgumentException( "The limitConcurrentConsumers flag in set to true. ConcurrentConsumers cannot be set at a value greater than " + MAX_CONCURRENT_CONSUMERS + " was " + concurrentConsumers); } if (concurrentConsumers < 0) { throw new IllegalArgumentException("concurrentConsumers found to be " + concurrentConsumers + ", must be greater than 0"); } int size = 0; if (parameters.containsKey("size")) { size = getAndRemoveParameter(parameters, "size", int.class); if (size <= 0) { throw new IllegalArgumentException("size found to be " + size + ", must be greater than 0"); } } // Check if the pollTimeout argument is set (may be the case if Disruptor component is used as drop-in // replacement for the SEDA component. if (parameters.containsKey("pollTimeout")) { throw new IllegalArgumentException("The 'pollTimeout' argument is not supported by the Disruptor component"); } final DisruptorWaitStrategy waitStrategy = getAndRemoveParameter(parameters, "waitStrategy", DisruptorWaitStrategy.class, defaultWaitStrategy); final DisruptorProducerType producerType = getAndRemoveParameter(parameters, "producerType", DisruptorProducerType.class, defaultProducerType); final boolean multipleConsumers = getAndRemoveParameter(parameters, "multipleConsumers", boolean.class, defaultMultipleConsumers); final boolean blockWhenFull = getAndRemoveParameter(parameters, "blockWhenFull", boolean.class, defaultBlockWhenFull); final DisruptorReference disruptorReference = getOrCreateDisruptor(uri, remaining, size, producerType, waitStrategy); final DisruptorEndpoint disruptorEndpoint = new DisruptorEndpoint(uri, this, disruptorReference, concurrentConsumers, multipleConsumers, blockWhenFull); disruptorEndpoint.setWaitStrategy(waitStrategy); disruptorEndpoint.setProducerType(producerType); disruptorEndpoint.configureProperties(parameters); return disruptorEndpoint; }	long method	1. long method	t	t	t			0	15213	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/components/camel-disruptor/src/main/java/org/apache/camel/component/disruptor/DisruptorComponent.java/#L64-L108	2	5777	15213
2241	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void refreshInternal(Collection objs, OpCallbacks call) { if (objs == null || objs.isEmpty()) return; List exceps = null; try { // collect instances that need a refresh Collection load = null; StateManagerImpl sm; Object obj; for (Iterator itr = objs.iterator(); itr.hasNext();) { obj = itr.next(); if (obj == null) continue; try { sm = getStateManagerImpl(obj, true); if ((processArgument(OpCallbacks.OP_REFRESH, obj, sm, call) & OpCallbacks.ACT_RUN) == 0) continue; if (sm != null) { if (sm.isDetached()) throw newDetachedException(obj, "refresh"); else if (sm.beforeRefresh(true)) { if (load == null) load = new ArrayList<>(objs.size()); load.add(sm); } int level = _fc.getReadLockLevel(); int timeout = _fc.getLockTimeout(); _lm.refreshLock(sm, level, timeout, null); sm.readLocked(level, level); } else if (assertPersistenceCapable(obj).pcIsDetached() == Boolean.TRUE) throw newDetachedException(obj, "refresh"); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } // refresh all if (load != null) { Collection failed = _store.loadAll(load, null, StoreManager.FORCE_LOAD_REFRESH, _fc, null); if (failed != null && !failed.isEmpty()) exceps = add(exceps, newObjectNotFoundException(failed)); // perform post-refresh transitions and make sure all fetch // group fields are loaded for (Iterator itr = load.iterator(); itr.hasNext();) { sm = (StateManagerImpl) itr.next(); if (failed != null && failed.contains(sm.getId())) continue; try { sm.afterRefresh(); sm.load(_fc, StateManagerImpl.LOAD_FGS, null, null, false); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } // now invoke postRefresh on all the instances for (Iterator itr = objs.iterator(); itr.hasNext();) { try { sm = getStateManagerImpl(itr.next(), true); if (sm != null && !sm.isDetached()) fireLifecycleEvent(sm.getManagedInstance(), null, sm.getMetaData(), LifecycleEvent.AFTER_REFRESH); } catch (OpenJPAException ke) { exceps = add(exceps, ke); } } } catch (OpenJPAException ke) { throw ke; } catch (RuntimeException re) { throw new GeneralException(re); } throwNestedExceptions(exceps, false); }	long method	Long method 2 Feature envy	t	f	t			0	13621	https://github.com/apache/openjpa/blob/8c0b843f6e6e0dd86a31e485928e61f2ba4c8f29/openjpa-kernel/src/main/java/org/apache/openjpa/kernel/BrokerImpl.java/#L3172-L3253	2	2241	13621
1431	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ICompletionProposal[] getRelevantProposals( ITextViewer viewer, int offset ) throws BadLocationException { if ( lastProposals != null ) { ArrayList relevantProposals = new ArrayList( 10 ); String word = ( findWord( viewer, offset - 1 ) ).toLowerCase( ); //Search for this word in the list for ( int n = 0; n < lastProposals.length; n++ ) { if ( stripQuotes( lastProposals[n].getDisplayString( ) .toLowerCase( ) ).startsWith( word ) ) { CompletionProposal proposal = new CompletionProposal( lastProposals[n].getDisplayString( ), offset - word.length( ), word.length( ), lastProposals[n].getDisplayString( ).length( ) ); relevantProposals.add( proposal ); } } if ( relevantProposals.size( ) > 0 ) { return (ICompletionProposal[]) relevantProposals.toArray( new ICompletionProposal[]{} ); } } return null; }	long method	Long method2 Feature envy	t	f	t			0	10955	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/data/org.eclipse.birt.report.data.oda.jdbc.ui/src/org/eclipse/birt/report/data/oda/jdbc/ui/editors/JdbcSQLContentAssistProcessor.java/#L278-L308	2	1431	10955
1147	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public List discoverHosts(final AddHostCmd cmd) throws IllegalArgumentException, DiscoveryException, InvalidParameterValueException { Long dcId = cmd.getZoneId(); final Long podId = cmd.getPodId(); final Long clusterId = cmd.getClusterId(); String clusterName = cmd.getClusterName(); final String url = cmd.getUrl(); final String username = cmd.getUsername(); final String password = cmd.getPassword(); final List hostTags = cmd.getHostTags(); dcId = _accountMgr.checkAccessAndSpecifyAuthority(CallContext.current().getCallingAccount(), dcId); // this is for standalone option if (clusterName == null && clusterId == null) { clusterName = "Standalone-" + url; } if (clusterId != null) { final ClusterVO cluster = _clusterDao.findById(clusterId); if (cluster == null) { final InvalidParameterValueException ex = new InvalidParameterValueException("can not find cluster for specified clusterId"); ex.addProxyObject(clusterId.toString(), "clusterId"); throw ex; } else { if (cluster.getGuid() == null) { final List hosts = listAllHostsInCluster(clusterId); if (!hosts.isEmpty()) { final CloudRuntimeException ex = new CloudRuntimeException("Guid is not updated for cluster with specified cluster id; need to wait for hosts in this cluster to come up"); ex.addProxyObject(cluster.getUuid(), "clusterId"); throw ex; } } } } return discoverHostsFull(dcId, podId, clusterId, clusterName, url, username, password, cmd.getHypervisor(), hostTags, cmd.getFullUrlParams(), false); }	long method	long method, data class	t	t	t	data class		0	10122	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/resource/ResourceManagerImpl.java/#L573-L611	1	1147	10122
2497	{ "input": { "code_smells": [ "Blob", "Data Class", "Feature Envy", "Long Method" ], "java_code": "public class Example { public void doSomething() { // code here } }" }, "output": { "message": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] } }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy:	long method	message: yes i found bad smells, detected_bad_smells: 1: long method	t	t	t	message: yes i found bad smells		0	14646	https://github.com/apache/kylin/blob/6ee0212af9d5b50096850c9cb76031b7cdd67402/core-common/src/main/java/org/apache/kylin/common/persistence/JDBCResourceStore.java/#L566-L591	1	2497	14646
996	Yes, I found bad smells. The bad smells are: 1. Long method, 2. Feature envy, 3. Magic numbers, 4. Duplicate code, 5. Inconsistent naming conventions.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Check public void checkNoForwardReferences(XExpression fieldInitializer) { JvmIdentifiableElement container = logicalContainerProvider.getLogicalContainer(fieldInitializer); if (container instanceof JvmField) { JvmField field = (JvmField) container; boolean staticField = field.isStatic(); JvmDeclaredType declaredType = field.getDeclaringType(); if (declaredType == null) { return; } Collection illegalFields = Sets.newHashSet(); for(int i = declaredType.getMembers().size() - 1; i>=0; i--) { JvmMember member = declaredType.getMembers().get(i); if (member instanceof JvmField) { if (((JvmField) member).isStatic() == staticField) { illegalFields.add((JvmField) member); } } if (member == field) break; } TreeIterator iterator = EcoreUtil2.eAll(fieldInitializer); while(iterator.hasNext()) { EObject object = iterator.next(); if (object instanceof XFeatureCall) { JvmIdentifiableElement feature = ((XFeatureCall) object).getFeature(); if (illegalFields.contains(((XFeatureCall) object).getFeature())) { error("Cannot reference the field '" + feature.getSimpleName() + "' before it is defined", object, null, INSIGNIFICANT_INDEX, ILLEGAL_FORWARD_REFERENCE); } } else if (isLocalClassSemantics(object)) { iterator.prune(); } } } }	long method	Long method, 2 Feature envy, 3 Magic numbers, 4 Duplicate code, 5 Inconsistent naming conventions	t	f	t	2. Feature envy, 3. Magic numbers, 4. Duplicate code, 5. Inconsistent naming conventions.		0	9119	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src/org/eclipse/xtext/xbase/validation/XbaseValidator.java/#L1028-L1063	2	996	9119
2156	{"message": "YES I found bad smells, the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean fetchNext() throws IgniteCheckedException { if (data == null) return false; try { if (!data.next()) { close(); return false; } if (res != null) { Value[] values = res.currentRow(); for (int c = 0; c < row.length; c++) { Value val = values[c]; if (val instanceof GridH2ValueCacheObject) { GridH2ValueCacheObject valCacheObj = (GridH2ValueCacheObject)values[c]; row[c] = valCacheObj.getObject(true); } else row[c] = val.getObject(); } } else { for (int c = 0; c < row.length; c++) row[c] = data.getObject(c + 1); } return true; } catch (SQLException e) { throw new IgniteSQLException(e); } }	long method	1. long method	t	t	f		long method	0	13302	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/H2ResultSetIterator.java/#L101-L137	1	2156	13302
1887	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: TreeNodeChildren(final TreeNode parent, final Object metadata, final PropertyAccessor accessor) { this.parent = parent; this.metadata = metadata; this.accessor = accessor; this.children = new TreeNode[accessor.count()]; /* * Search for something that looks like the main property, to be associated with the parent node * instead than provided as a child. The intent is to have more compact and easy to read trees. * That property shall be a singleton for a simple value (not another metadata object). */ if (parent.table.valuePolicy == ValueExistencePolicy.COMPACT) { TitleProperty an = accessor.implementation.getAnnotation(TitleProperty.class); if (an == null) { Class implementation = parent.table.standard.getImplementation(accessor.type); if (implementation != null) { an = implementation.getAnnotation(TitleProperty.class); } } if (an != null) { final int index = accessor.indexOf(an.name(), false); final Class type = accessor.type(index, TypeValuePolicy.ELEMENT_TYPE); if (type != null && !parent.isMetadata(type) && type == accessor.type(index, TypeValuePolicy.PROPERTY_TYPE)) { titleProperty = index; return; } } } titleProperty = -1; }	long method	blob, long method	t	t	t	blob		0	12299	https://github.com/apache/sis/blob/002121abc9b9826fbd51fac7150b3ee0c02cc88b/core/sis-metadata/src/main/java/org/apache/sis/metadata/TreeNodeChildren.java/#L137-L165	1	1887	12299
1692	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Duplicate code 4. Complex conditional statements 5. Inappropriate exception handling 6. Poor naming conventions 7. Lack of modularity and encapsulation	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private boolean deriveTypeHierarchyFromOverridden(ParserRule rule, Grammar grammar) throws TransformationException { AbstractRule parentRule = GrammarUtil.findRuleForName(grammar, rule.getName()); if (parentRule != null) { if (parentRule != rule && parentRule instanceof ParserRule) { ParserRule casted = (ParserRule) parentRule; if (casted.isFragment() != rule.isFragment()) { if (rule.isFragment()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "A fragment rule cannot override a production rule.", rule); } else { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Only fragment rule can override other fragment rules.", rule); } } if (casted.isWildcard() != rule.isWildcard()) { if (rule.isWildcard()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "A wildcard fragment rule cannot override a typed fragment rule.", rule); } else { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Only wildcard fragment rules can override other wildcard fragments.", rule); } } if (rule.isFragment() && !rule.isWildcard() && parentRule.getType() != null) { if (rule.getType().getClassifier() != parentRule.getType().getClassifier()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Overriding fragment rules cannot redeclare their type.", rule.getType()); } } checkParameterLists(rule, casted); } if (parentRule.getType() != null && parentRule != rule) { if (parentRule.getType().getClassifier() instanceof EDataType) throw new TransformationException(TransformationErrorCode.InvalidSupertype, "Cannot inherit from datatype rule and return another type.", rule.getType()); EClassifierInfo parentTypeInfo = eClassifierInfos.getInfoOrNull(parentRule.getType()); if (parentTypeInfo == null) throw new TransformationException(TransformationErrorCode.InvalidSupertype, "Cannot determine return type of overridden rule.", rule.getType()); addSuperType(rule, rule.getType(), parentTypeInfo); return true; } } return false; }	long method	Long method 2 Feature envy 3 Duplicate code 4 Complex conditional statements 5 Inappropriate exception handling 6 Poor naming conventions 7 Lack of modularity and encapsulation	t	f	t			0	11712	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext/src/org/eclipse/xtext/xtext/ecoreInference/Xtext2EcoreTransformer.java/#L720-L764	2	1692	11712
1363	YES I found bad smells the bad smells are: 1.Long method 2.Magic numbers 3.Duplicate code 4.Commented code 5.Inconsistent formatting 6.Lack of proper variable naming 7.Complex conditional statements 8.Multiple responsibilities within one method	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private String formatQueryString(final String projectUri, final String[] args) { final StringBuffer result = new StringBuffer(); if (projectUri != null) { if (isCompatibleMode) { result.append("puri="); //$NON-NLS-1$ result.append(URLEncode.encode(projectUri.toString())); } else { final ArtifactID artifactID = new ArtifactID(projectUri); result.append("pguid="); //$NON-NLS-1$ result.append(URLEncode.encode(artifactID.getToolSpecificID())); } } else if (!isCompatibleMode) { result.append("pcguid="); //$NON-NLS-1$ result.append(URLEncode.encode(collectionId.toString())); } for (int i = 0; i < args.length - 1; i += 2) { final String name = args[i]; final String value = args[i + 1]; if (name != null) { if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(name)); } if (value != null) { if (name != null) { result.append('='); } else if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(value)); } } return result.toString(); }	long method	Long method2Magic numbers3Duplicate code4Commented code5Inconsistent formatting6Lack of proper variable naming7Complex conditional statements8Multiple responsibilities within one method	t	f	t			0	10780	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/util/TSWAHyperlinkBuilder.java/#L518-L559	2	1363	10780
1809	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Nullable public static PropertyEditor findEditorByConvention(@Nullable Class targetType) { if (targetType == null || targetType.isArray() || unknownEditorTypes.contains(targetType)) { return null; } ClassLoader cl = targetType.getClassLoader(); if (cl == null) { try { cl = ClassLoader.getSystemClassLoader(); if (cl == null) { return null; } } catch (Throwable ex) { // e.g. AccessControlException on Google App Engine if (logger.isDebugEnabled()) { logger.debug("Could not access system ClassLoader: " + ex); } return null; } } String editorName = targetType.getName() + "Editor"; try { Class editorClass = cl.loadClass(editorName); if (!PropertyEditor.class.isAssignableFrom(editorClass)) { if (logger.isInfoEnabled()) { logger.info("Editor class [" + editorName + "] does not implement [java.beans.PropertyEditor] interface"); } unknownEditorTypes.add(targetType); return null; } return (PropertyEditor) instantiateClass(editorClass); } catch (ClassNotFoundException ex) { if (logger.isTraceEnabled()) { logger.trace("No property editor [" + editorName + "] found for type " + targetType.getName() + " according to 'Editor' suffix convention"); } unknownEditorTypes.add(targetType); return null; } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	12052	https://github.com/spring-projects/spring-framework/blob/3a0f309e2c9fdbbf7fb2d348be861528177f8555/spring-beans/src/main/java/org/springframework/beans/BeanUtils.java/#L504-L546	2	1809	12052
795	YES I found bad smells the bad smells are: 1. Long method 2. Switch statement 3. Duplicate code in each case of the switch statement 4. Conditional complexity 5. Magic numbers (e.g. "yyyy" for year, "MM" for month, etc.) 6. Feature envy (each case using a different format string instead of using a single method to format the date)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private SimpleDateFormat createFormat(DateResolution dateResolution) { switch (dateResolution) { case Year: return new SimpleDateFormat("yyyy"); case Month: return new SimpleDateFormat("yyyyMM"); case Day: return new SimpleDateFormat("yyyyMMdd"); case Hour: return new SimpleDateFormat("yyyyMMddhh"); case Minute: return new SimpleDateFormat("yyyyMMddhhmm"); case Second: return new SimpleDateFormat("yyyyMMddhhmmss"); default: return new SimpleDateFormat("yyyyMMddhhmmssSSS"); } }	long method	Long method2 Switch statement3 Duplicate code in each case of the switch statement4 Conditional complexity5 Magic numbers (eg "yyyy" for year, "MM" for month, etc)6 Feature envy (each case using a different format string instead of using a single method to format the date)	t	f	t	"MM" for month, etc.)6. Feature envy (each case using a different format string instead of using a single method to format the date)		0	7555	https://github.com/apache/james-project/blob/fa24a096a5853459c3769a34ccc68feb91626bfa/mailbox/store/src/main/java/org/apache/james/mailbox/store/search/MessageSearches.java/#L624-L641	2	795	7555
335	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: void getHashes(List searchHashes, int bitShift) { // We don't need to include 0 because that's always assumed in look ups. If we do return 0, that // means this agent isn't sure what it needs, but the inverse is acceptable because that just // means the airing doesn't know what it matches and it will be tested on all of the agents. searchHashes.clear(); if (title != null) { searchHashes.add((title.ignoreCaseHash >>> bitShift)); } if (person != null) { addHash(person.ignoreCaseHash, searchHashes, bitShift); } if (category != null) { addHash(category.ignoreCaseHash, searchHashes, bitShift); } if (subCategory != null) { addHash(subCategory.ignoreCaseHash, searchHashes, bitShift); } if (chanName.length() > 0) { addHash(chanName.hashCode(), searchHashes, bitShift); } if (chanNames != null && chanNames.length > 0) { for (String chanName : chanNames) { addHash(chanName.hashCode(), searchHashes, bitShift); } } if (network != null) { addHash(network.ignoreCaseHash, searchHashes, bitShift); } if (rated != null) { addHash(rated.ignoreCaseHash, searchHashes, bitShift); } if (year != null) { addHash(year.ignoreCaseHash, searchHashes, bitShift); } if (pr != null) { addHash(pr.ignoreCaseHash, searchHashes, bitShift); } // This will ensure that we do a full search since 0 means at least one of our items doesn't // have a "valid" hash. if (searchHashes.contains(0)) searchHashes.clear(); }	long method	long method	t	t	t			0	3439	https://github.com/google/sagetv/blob/a35e3a450b4c0134cb097b9e7de76dca08eb6654/java/sage/Agent.java/#L1825-L1889	1	335	3439
1957	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Primitive obsession	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void validateArrayStep(String arrStep) throws QueryException { boolean wildAllowed = true; // * is allowed initially boolean digitAllowed = true; // Digit is allowed as next char boolean commaAllowed = false; // Comma is allowed as next char boolean afterDigit = false; // Last non-space was a digit boolean toAllowed = false; // Any space after digit allows "to" boolean afterTo = false; // After "to" expecting range end boolean toInProgress = false; // Prior char was 't' in "to" boolean spaceRequired = false; // A whitespace is required (after "to") boolean digitRequired = false; // Digit required after comma or "to" for (int i = 1; i < arrStep.length() - 1; ++i) { char currentChar = arrStep.charAt(i); if (currentChar == '*') { if (!wildAllowed) throwArrayException(arrStep); wildAllowed = false; // We've seen the only allowed wildcard digitAllowed = false; // Only whitespace is allowed afterward } else if (currentChar == ',') { if (!commaAllowed) throwArrayException(arrStep); commaAllowed = false; toAllowed = false; afterDigit = false; afterTo = false; digitRequired = true; // Next non-space must be a digit } else if ("0123456789".indexOf(currentChar) >= 0) { if (!digitAllowed) throwArrayException(arrStep); wildAllowed = false; // Wildcard no longer allowed commaAllowed = true; afterDigit = true; digitRequired = false; } else if (" \t\n\r".indexOf(currentChar) >= 0) { // Whitespace not allowed when parsing "to" if (toInProgress) throwArrayException(arrStep); if (afterDigit) { // Last non-space was a digit - next non-space is "to" or comma digitAllowed = false; toAllowed = !afterTo; commaAllowed = true; } else if (spaceRequired) { // This is the whitespace required after "to" digitAllowed = true; spaceRequired = false; digitRequired = true; // At least one digit must follow } } else if (currentChar == 't') { if (!toAllowed) throwArrayException(arrStep); toInProgress = true; // Next char must be the 'o' in "to" commaAllowed = false; afterDigit = false; } else if (currentChar == 'o') { if (!toInProgress) throwArrayException(arrStep); toInProgress = false; toAllowed = false; afterTo = true; spaceRequired = true; // "to" must be followed by whitespace } else { // Invalid character throwArrayException(arrStep); } } // Empty array or only whitespace found if (wildAllowed) throwArrayException(arrStep); // Incomplete "to" or comma sequence at end of subscript if (toInProgress || spaceRequired || digitRequired) throwArrayException(arrStep); }	long method	Long method2 Feature envy3 Primitive obsession	t	f	t			0	12568	https://github.com/oracle/soda-for-java/blob/352634e26b5a0d9d529d5436f7a4c8e21ed1dbf0/src/oracle/json/parser/PathParser.java/#L138-L239	2	1957	12568
361	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void Blit(SurfaceData src, SurfaceData dst, Composite comp, Region clip, int srcx, int srcy, int dstx, int dsty, int w, int h) { Raster srcRast = src.getRaster(srcx, srcy, w, h); IntegerComponentRaster icr = (IntegerComponentRaster) srcRast; int[] srcPix = icr.getDataStorage(); WritableRaster dstRast = (WritableRaster) dst.getRaster(dstx, dsty, w, h); ColorModel dstCM = dst.getColorModel(); Region roi = CustomComponent.getRegionOfInterest(src, dst, clip, srcx, srcy, dstx, dsty, w, h); SpanIterator si = roi.getSpanIterator(); Object dstPix = null; int srcScan = icr.getScanlineStride(); // assert(icr.getPixelStride() == 1); srcx -= dstx; srcy -= dsty; int[] span = new int[4]; while (si.nextSpan(span)) { int rowoff = (icr.getDataOffset(0) + (srcy + span[1]) * srcScan + (srcx + span[0])); for (int y = span[1]; y < span[3]; y++) { int off = rowoff; for (int x = span[0]; x < span[2]; x++) { dstPix = dstCM.getDataElements(srcPix[off++], dstPix); dstRast.setDataElements(x, y, dstPix); } rowoff += srcScan; } } // REMIND: We need to do something to make sure that dstRast // is put back to the destination (as in the native Release // function) // src.releaseRaster(srcRast); // NOP? // dst.releaseRaster(dstRast); }	long method	Long method2 Feature envy	t	f	t			0	3699	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/sun/java2d/loops/CustomComponent.java/#L171-L213	2	361	3699
1931	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void main(List trees) { // complete the javac AST with a completed ceylon model timer.startTask("prepareForTypeChecking"); prepareForTypeChecking(trees); timer.endTask(); List javaTrees = List.nil(); List ceylonTrees = List.nil(); // split them in two sets: java and ceylon for(JCCompilationUnit tree : trees){ if(tree instanceof CeylonCompilationUnit) ceylonTrees = ceylonTrees.prepend(tree); else javaTrees = javaTrees.prepend(tree); } timer.startTask("Enter on Java trees"); boolean needsModelReset = isBootstrap; // enter java trees first to set up their ClassSymbol objects for ceylon trees to use during type-checking if(!javaTrees.isEmpty()){ setupImportedPackagesForJavaTrees(javaTrees); hasJavaAndCeylonSources = true; needsModelReset = true; } // this is false if we're in an APT round where we did not generate the trees if(!compiler.isAddModuleTrees()){ setupImportedPackagesForJavaTrees(ceylonTrees); } if(isBootstrap || hasJavaAndCeylonSources){ super.main(trees); } // now we can type-check the Ceylon code List packageInfo = completeCeylonTrees(trees); trees = trees.prependList(packageInfo); ceylonTrees = ceylonTrees.prependList(packageInfo); if(compiler.isHadRunTwiceException()){ needsModelReset = true; } if(needsModelReset){ // bootstrapping the language module is a bit more complex resetAndRunEnterAgain(trees); }else{ timer.startTask("Enter on Ceylon trees"); // and complete their new trees try { sourceLanguage.push(Language.CEYLON); super.main(ceylonTrees); } finally { sourceLanguage.pop(); } timer.endTask(); } }	long method	long method	t	t	t			0	12454	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/compiler-java/src/org/eclipse/ceylon/compiler/java/loader/CeylonEnter.java/#L203-L255	1	1931	12454
1490	{"answer": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public synchronized void start(BundleContext context) throws Exception { PermissionAdminImpl pai = null; SecureAction action = new SecureAction(); Permissions permissions = new Permissions(context, action); File tmp = context.getDataFile("security" + File.separator + "tmp"); if ((tmp == null) || (!tmp.isDirectory() && !tmp.mkdirs())) { throw new IOException("Can't create tmp dir."); } // TODO: log something if we can not clean-up the tmp dir File[] old = tmp.listFiles(); if (old != null) { for (int i = 0; i < old.length; i++) { old[i].delete(); } } if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_PERMISSIONADMIN_PROP, SecurityConstants.ENABLE_PERMISSIONADMIN_VALUE))) { File cache = context.getDataFile("security" + File.separator + "pa.txt"); if ((cache == null) || (!cache.isFile() && !cache.createNewFile())) { throw new IOException("Can't create cache file"); } pai = new PermissionAdminImpl(permissions, new PropertiesCache( cache, tmp, action)); } ConditionalPermissionAdminImpl cpai = null; if ("TRUE".equalsIgnoreCase(getProperty(context, SecurityConstants.ENABLE_CONDPERMADMIN_PROP, SecurityConstants.ENABLE_CONDPERMADMIN_VALUE))) { File cpaCache = context.getDataFile("security" + File.separator + "cpa.txt"); if ((cpaCache == null) || (!cpaCache.isFile() && !cpaCache.createNewFile())) { throw new IOException("Can't create cache file"); } LocalPermissions localPermissions = new LocalPermissions( permissions); cpai = new ConditionalPermissionAdminImpl(permissions, new Conditions(action), localPermissions, new PropertiesCache( cpaCache, tmp, action), pai); } if ((pai != null) || (cpai != null)) { String crlList = getProperty(context, SecurityConstants.CRL_FILE_PROP, SecurityConstants.CRL_FILE_VALUE); String storeList = getProperty(context, SecurityConstants.KEYSTORE_FILE_PROP, SecurityConstants.KEYSTORE_FILE_VALUE); String passwdList = getProperty(context, SecurityConstants.KEYSTORE_PASS_PROP, SecurityConstants.KEYSTORE_PASS_VALUE); String typeList = getProperty(context, SecurityConstants.KEYSTORE_TYPE_PROP, SecurityConstants.KEYSTORE_TYPE_VALUE); String osgi_keystores = getProperty(context, Constants.FRAMEWORK_TRUST_REPOSITORIES, null); if (osgi_keystores != null) { StringTokenizer tok = new StringTokenizer(osgi_keystores, File.pathSeparator); if (storeList.length() == 0) { storeList += "file:" + tok.nextToken(); passwdList += " "; typeList += "JKS"; } while (tok.hasMoreTokens()) { storeList += "|file:" + tok.nextToken(); passwdList += "| "; typeList += "|JKS"; } } StringTokenizer storeTok = new StringTokenizer(storeList, "|"); StringTokenizer passwdTok = new StringTokenizer(passwdList, "|"); StringTokenizer typeTok = new StringTokenizer(typeList, "|"); if ((storeTok.countTokens() != typeTok.countTokens()) || (passwdTok.countTokens() != storeTok.countTokens())) { throw new BundleException( "Each CACerts keystore must have one type and one passwd entry and vice versa."); } SecurityProvider provider = new SecurityProviderImpl(crlList, typeList, passwdList, storeList, pai, cpai, action, ((Felix) context.getBundle(0)).getLogger()); ((Felix) context.getBundle(0)).setSecurityProvider(provider); } if (pai != null) { context.registerService(PermissionAdmin.class.getName(), pai, null); } if (cpai != null) { context.registerService(ConditionalPermissionAdmin.class.getName(), cpai, null); } }	long method	long method	t	t	t			0	11110	https://github.com/apache/felix/blob/a132994b250751d4ba3b115ee070ba397d9840ca/framework.security/src/main/java/org/apache/felix/framework/SecurityActivator.java/#L99-L220	1	1490	11110
993	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int compare(PropertyDescriptor d1, PropertyDescriptor d2) { String g1 = group(d1); String g2 = group(d2); Integer go1 = groupOrder(g1); Integer go2 = groupOrder(g2); int result = go1.compareTo(go2); if (result != 0) { return result; } result = g1.compareTo(g2); if (result != 0) { return result; } Integer po1 = propertyOrder(d1); Integer po2 = propertyOrder(d2); result = po1.compareTo(po2); if (result != 0) { return result; } return d1.getName().compareTo(d2.getName()); }	long method	Long method2 Feature envy	t	f	t			0	9070	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/core/org/apache/jmeter/testbeans/gui/GenericTestBeanCustomizer.java/#L674-L699	2	993	9070
513	YES I found bad smells the bad smells are: 1. Long method, 2. Duplicate code, 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected void buildContent( ) { // Defines provider. IDescriptorProvider nameProvider = new TextPropertyDescriptorProvider( IDesignElementModel.NAME_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); // Defines section. TextSection nameSection = new TextSection( nameProvider.getDisplayName( ), container, true ); nameSection.setProvider( nameProvider ); nameSection.setLayoutNum( 6 ); nameSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_NAME, nameSection ); //$NON-NLS-1$ ComboPropertyDescriptorProvider variableTypeProvider = new ComboPropertyDescriptorProvider( IVariableElementModel.TYPE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); variableTypeProvider.enableReset( true ); ComboSection variableTypeSection = new ComboSection( variableTypeProvider.getDisplayName( ), container, true ); variableTypeSection.setProvider( variableTypeProvider ); variableTypeSection.setLayoutNum( 6 ); variableTypeSection.setWidth( 500 ); addSection( PageSectionId.VARIABLE_TYPE, variableTypeSection ); ExpressionPropertyDescriptorProvider variableValueProvider = new ExpressionPropertyDescriptorProvider( IVariableElementModel.VALUE_PROP, ReportDesignConstants.VARIABLE_ELEMENT ); ExpressionSection variableValueSection = new ExpressionSection( variableValueProvider.getDisplayName( ), container, true ); variableValueSection.setMulti(false); variableValueSection.setProvider( variableValueProvider ); variableValueSection.setWidth( 500 ); variableValueSection.setLayoutNum( 6 ); addSection( PageSectionId.VARIABLE_VALUE, variableValueSection ); }	long method	Long method, 2 Duplicate code, 3 Feature envy	t	f	t	2. Duplicate code, 3. Feature envy		0	5219	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/UI/org.eclipse.birt.report.designer.ui.views/src/org/eclipse/birt/report/designer/internal/ui/views/attributes/page/VariablePage.java/#L32-L74	2	513	5219
1495	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ShardHandler getAndPrepShardHandler(SolrQueryRequest req, ResponseBuilder rb) { ShardHandler shardHandler = null; CoreContainer cc = req.getCore().getCoreContainer(); boolean isZkAware = cc.isZooKeeperAware(); rb.isDistrib = req.getParams().getBool(DISTRIB, isZkAware); if (!rb.isDistrib) { // for back compat, a shards param with URLs like localhost:8983/solr will mean that this // search is distributed. final String shards = req.getParams().get(ShardParams.SHARDS); rb.isDistrib = ((shards != null) && (shards.indexOf('/') > 0)); } if (rb.isDistrib) { shardHandler = shardHandlerFactory.getShardHandler(); shardHandler.prepDistributed(rb); if (!rb.isDistrib) { shardHandler = null; // request is not distributed after all and so the shard handler is not needed } } if (isZkAware) { String shardsTolerant = req.getParams().get(ShardParams.SHARDS_TOLERANT); boolean requireZkConnected = shardsTolerant != null && shardsTolerant.equals(ShardParams.REQUIRE_ZK_CONNECTED); ZkController zkController = cc.getZkController(); boolean zkConnected = zkController != null && ! zkController.getZkClient().getConnectionManager().isLikelyExpired(); if (requireZkConnected && false == zkConnected) { throw new SolrException(SolrException.ErrorCode.SERVER_ERROR, "ZooKeeper is not connected"); } else { NamedList headers = rb.rsp.getResponseHeader(); if (headers != null) { headers.add("zkConnected", zkConnected); } } } return shardHandler; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	11124	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/solr/core/src/java/org/apache/solr/handler/component/SearchHandler.java/#L211-L248	2	1495	11124
169	{"message": "YES I found bad smells", "bad smells are": ["Long method"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected NetworkVO getDefaultNetworkForAdvancedZone(DataCenter dc) { if (dc.getNetworkType() != NetworkType.Advanced) { throw new CloudRuntimeException("Zone " + dc + " is not advanced."); } if (dc.isSecurityGroupEnabled()) { List networks = _networkDao.listByZoneSecurityGroup(dc.getId()); if (CollectionUtils.isEmpty(networks)) { throw new CloudRuntimeException("Can not found security enabled network in SG Zone " + dc); } return networks.get(0); } else { TrafficType defaultTrafficType = TrafficType.Public; List defaultNetworks = _networkDao.listByZoneAndTrafficType(dc.getId(), defaultTrafficType); // api should never allow this situation to happen if (defaultNetworks.size() != 1) { throw new CloudRuntimeException("Found " + defaultNetworks.size() + " networks of type " + defaultTrafficType + " when expect to find 1"); } return defaultNetworks.get(0); } }	long method	long method	t	t	t			0	2032	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/server/src/main/java/com/cloud/consoleproxy/ConsoleProxyManagerImpl.java/#L696-L720	2	169	2032
1959	{"message": "YES I found bad smells", "bad smells are": ["1. Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: static ClassLoader findClassLoader() throws ConfigurationError { // Figure out which ClassLoader to use for loading the provider // class. If there is a Context ClassLoader then use it. ClassLoader context = SecuritySupport.getContextClassLoader(); ClassLoader system = SecuritySupport.getSystemClassLoader(); ClassLoader chain = system; while (true) { if (context == chain) { // Assert: we are on JDK 1.1 or we have no Context ClassLoader // or any Context ClassLoader in chain of system classloader // (including extension ClassLoader) so extend to widest // ClassLoader (always look in system ClassLoader if Xalan // is in boot/extension/system classpath and in current // ClassLoader otherwise); normal classloaders delegate // back to system ClassLoader first so this widening doesn't // change the fact that context ClassLoader will be consulted ClassLoader current = ObjectFactory.class.getClassLoader(); chain = system; while (true) { if (current == chain) { // Assert: Current ClassLoader in chain of // boot/extension/system ClassLoaders return system; } if (chain == null) { break; } chain = SecuritySupport.getParentClassLoader(chain); } // Assert: Current ClassLoader not in chain of // boot/extension/system ClassLoaders return current; } if (chain == null) { // boot ClassLoader reached break; } // Check for any extension ClassLoaders in chain up to // boot ClassLoader chain = SecuritySupport.getParentClassLoader(chain); }; // Assert: Context ClassLoader not in chain of // boot/extension/system ClassLoaders return context; } // findClassLoader():ClassLoader	long method	1 Long Method	t	f	t			0	12573	https://github.com/apache/xalan-j/blob/cba6d7fe7e93defecb98d155e2a780f8a3f1fbaa/src/org/apache/xalan/xsltc/dom/ObjectFactory.java/#L391-L443	1	1959	12573
620	{"response": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public List> getNamedContexts(final SerializationContextMap map) { final ArrayList> result = CollectionLiterals.>newArrayList(); final HashMap names = CollectionLiterals.newHashMap(); List> _values = map.values(); for (final SerializationContextMap.Entry e : _values) { Set _types = e.getTypes(); for (final EClass t : _types) { { final List ctx = e.getContexts(t); String _xifexpression = null; if ((t == null)) { _xifexpression = ""; } else { _xifexpression = t.getName(); } String _plus = (_xifexpression + "_"); String _significantGrammarElement = this.getSignificantGrammarElement(ctx); final String name = (_plus + _significantGrammarElement); final Integer dup = names.get(name); String _xifexpression_1 = null; if ((dup == null)) { String _xblockexpression = null; { names.put(name, Integer.valueOf(1)); _xblockexpression = name; } _xifexpression_1 = _xblockexpression; } else { String _xblockexpression_1 = null; { names.put(name, Integer.valueOf(((dup).intValue() + 1))); _xblockexpression_1 = ((name + "_") + dup); } _xifexpression_1 = _xblockexpression_1; } final String unique = _xifexpression_1; T _value = e.getValue(); NamedSerializationContexts _namedSerializationContexts = new NamedSerializationContexts(unique, t, ctx, _value); result.add(_namedSerializationContexts); } } } return result; }	long method	long method, data class	t	t	t	data class		0	6215	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.xtext.generator/xtend-gen/org/eclipse/xtext/xtext/generator/serializer/NamedSerializationContextProvider.java/#L45-L88	1	620	6215
2055	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(this.getUnknownFields()); while (true) { int tag = 0; try { tag = input.readTag(); } catch (Exception e) { // do nothing } switch (tag) { case 0 : this.setUnknownFields(unknownFields.build()); onChanged(); return this; default : { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { this.setUnknownFields(unknownFields.build()); onChanged(); return this; } break; } case 10 : { bitField0_ |= 0x00000001; message_ = input.readBytes(); break; } case 16 : { int rawValue = input.readEnum(); org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType value = org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType.valueOf(rawValue); if (value == null) { unknownFields.mergeVarintField(2, rawValue); } else { bitField0_ |= 0x00000002; messageType_ = value; } break; } case 24 : { bitField0_ |= 0x00000004; timestamp_ = input.readSInt64(); break; } case 34 : { bitField0_ |= 0x00000008; appId_ = input.readBytes(); break; } case 50 : { bitField0_ |= 0x00000010; sourceId_ = input.readBytes(); break; } case 58 : { ensureDrainUrlsIsMutable(); drainUrls_.add(input.readBytes()); break; } case 66 : { bitField0_ |= 0x00000040; sourceName_ = input.readBytes(); break; } } } }	long method	Long method2 Feature envy	t	f	t			0	12939	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.cf/src/org/eclipse/orion/server/cf/loggregator/LoggregatorMessage.java/#L651-L716	2	2055	12939
1446	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void read(org.apache.thrift.protocol.TProtocol iprot, FetchRuleKeyLogsRequest struct) throws org.apache.thrift.TException { org.apache.thrift.protocol.TField schemeField; iprot.readStructBegin(); while (true) { schemeField = iprot.readFieldBegin(); if (schemeField.type == org.apache.thrift.protocol.TType.STOP) { break; } switch (schemeField.id) { case 1: // RULE_KEYS if (schemeField.type == org.apache.thrift.protocol.TType.LIST) { { org.apache.thrift.protocol.TList _list184 = iprot.readListBegin(); struct.ruleKeys = new java.util.ArrayList(_list184.size); java.lang.String _elem185; for (int _i186 = 0; _i186 < _list184.size; ++_i186) { _elem185 = iprot.readString(); struct.ruleKeys.add(_elem185); } iprot.readListEnd(); } struct.setRuleKeysIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 2: // REPOSITORY if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.repository = iprot.readString(); struct.setRepositoryIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 3: // SCHEDULE_TYPE if (schemeField.type == org.apache.thrift.protocol.TType.STRING) { struct.scheduleType = iprot.readString(); struct.setScheduleTypeIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; case 4: // DISTRIBUTED_BUILD_MODE_ENABLED if (schemeField.type == org.apache.thrift.protocol.TType.BOOL) { struct.distributedBuildModeEnabled = iprot.readBool(); struct.setDistributedBuildModeEnabledIsSet(true); } else { org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } break; default: org.apache.thrift.protocol.TProtocolUtil.skip(iprot, schemeField.type); } iprot.readFieldEnd(); } iprot.readStructEnd(); // check for required fields of primitive type, which can't be checked in the validate method struct.validate(); }	long method	Long method 2 Feature envy	t	f	t			0	10983	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src-gen/com/facebook/buck/distributed/thrift/FetchRuleKeyLogsRequest.java/#L547-L608	2	1446	10983
1343	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	Long method2 Feature envy	t	f	t			0	10745	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	2	1343	10745
2574	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Blob"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override protected GraphicsNode createImageGraphicsNode( BridgeContext ctx, Element imageElement, ParsedURL purl) { AbstractFOPBridgeContext bridgeCtx = (AbstractFOPBridgeContext)ctx; ImageManager manager = bridgeCtx.getImageManager(); ImageSessionContext sessionContext = bridgeCtx.getImageSessionContext(); try { ImageInfo info = manager.getImageInfo(purl.toString(), sessionContext); ImageFlavor[] supportedFlavors = getSupportedFlavours(); Image image = manager.getImage(info, supportedFlavors, sessionContext); //TODO color profile overrides aren't handled, yet! //ICCColorSpaceExt colorspaceOverride = extractColorSpace(e, ctx); AbstractGraphicsNode specializedNode = null; if (image instanceof ImageXMLDOM) { ImageXMLDOM xmlImage = (ImageXMLDOM)image; if (xmlImage.getDocument() instanceof SVGDocument) { //Clone DOM because the Batik's CSS Parser attaches to the DOM and is therefore //not thread-safe. SVGDocument clonedDoc = (SVGDocument)BatikUtil.cloneSVGDocument( xmlImage.getDocument()); return createSVGImageNode(ctx, imageElement, clonedDoc); } else { //Convert image to Graphics2D image = manager.convertImage(xmlImage, new ImageFlavor[] {ImageFlavor.GRAPHICS2D}); } } if (image instanceof ImageRawJPEG) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageRawCCITTFax) { specializedNode = createLoaderImageNode(image, ctx, imageElement, purl); } else if (image instanceof ImageGraphics2D) { ImageGraphics2D g2dImage = (ImageGraphics2D)image; specializedNode = new Graphics2DNode(g2dImage); } else { ctx.getUserAgent().displayError( new ImageException("Cannot convert an image to a usable format: " + purl)); } if (specializedNode != null) { Rectangle2D imgBounds = getImageBounds(ctx, imageElement); Rectangle2D bounds = specializedNode.getPrimitiveBounds(); float [] vb = new float[4]; vb[0] = 0; // x vb[1] = 0; // y vb[2] = (float) bounds.getWidth(); // width vb[3] = (float) bounds.getHeight(); // height // handles the 'preserveAspectRatio', 'overflow' and 'clip' // and sets the appropriate AffineTransform to the image node initializeViewport(ctx, imageElement, specializedNode, vb, imgBounds); return specializedNode; } } catch (Exception e) { ctx.getUserAgent().displayError(e); } //Fallback return superCreateGraphicsNode(ctx, imageElement, purl); }	long method	long method, blob	t	t	t	blob		0	14912	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/svg/AbstractFOPImageElementBridge.java/#L70-L131	1	2574	14912
1875	YES I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void parseArray(NameSegment nameSeg) { String name = nameSeg.getPath(); ArraySegment arraySeg = ((ArraySegment) nameSeg.getChild()); int index = arraySeg.getIndex(); RequestedColumnImpl member = getImpl(name); if (member == null) { member = new RequestedColumnImpl(this, name); projection.add(name, member); } else if (member.isSimple()) { // Saw both a and a[x]. Occurs in project list. // Project all elements. member.projectAllElements(); return; } else if (member.hasIndex(index)) { throw UserException .validationError() .message("Duplicate array index in project list: %s[%d]", member.fullName(), index) .build(logger); } member.addIndex(index); // Drills SQL parser does not support map arrays: a[0].c // But, the SchemaPath does support them, so no harm in // parsing them here. if (! arraySeg.isLastPath()) { parseInternal(nameSeg); } }	long method	Long method2 Feature envy	t	f	t			0	12262	https://github.com/apache/drill/blob/5e2251a9fd659b81ebfcd6702ee4ee16b3f7b6b3/exec/java-exec/src/main/java/org/apache/drill/exec/physical/rowSet/project/RequestedTupleImpl.java/#L260-L291	2	1875	12262
5515	{"response": "YES I found bad smells", "bad smells are": ["Long method", "Magic number", "Non-descriptive method or variable names", "Nested block", "Complex conditional logic", "Duplicate code"]}	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @SuppressWarnings("try") private void doRun(Map entryPoints, Method mainEntryPoint, JavaMainSupport javaMainSupport, String imageName, AbstractBootImage.NativeImageKind k, SubstitutionProcessor harnessSubstitutions, ForkJoinPool compilationExecutor, ForkJoinPool analysisExecutor) { List hostedEntryPoints = new ArrayList<>(); OptionValues options = HostedOptionValues.singleton(); SnippetReflectionProvider originalSnippetReflection = GraalAccess.getOriginalSnippetReflection(); try (DebugContext debug = DebugContext.create(options, new GraalDebugHandlersFactory(originalSnippetReflection))) { setupNativeImage(imageName, options, entryPoints, javaMainSupport, harnessSubstitutions, analysisExecutor, originalSnippetReflection, debug); boolean returnAfterAnalysis = runPointsToAnalysis(imageName, options, debug); if (returnAfterAnalysis) { return; } NativeImageHeap heap; HostedMethod mainEntryPointHostedStub; HostedMetaAccess hMetaAccess; SharedRuntimeConfigurationBuilder runtime; try (StopTimer t = new Timer(imageName, "universe").start()) { hUniverse = new HostedUniverse(bigbang); hMetaAccess = new HostedMetaAccess(hUniverse, bigbang.getMetaAccess()); new UniverseBuilder(aUniverse, bigbang.getMetaAccess(), hUniverse, hMetaAccess, HostedConfiguration.instance().createStaticAnalysisResultsBuilder(bigbang, hUniverse), bigbang.getUnsupportedFeatures()).build(debug); runtime = new HostedRuntimeConfigurationBuilder(options, bigbang.getHostVM(), hUniverse, hMetaAccess, bigbang.getProviders()).build(); registerGraphBuilderPlugins(featureHandler, runtime.getRuntimeConfig(), (HostedProviders) runtime.getRuntimeConfig().getProviders(), bigbang.getMetaAccess(), aUniverse, hMetaAccess, hUniverse, nativeLibraries, loader, false, true, bigbang.getAnnotationSubstitutionProcessor(), new SubstrateClassInitializationPlugin((SVMHost) aUniverse.hostVM()), bigbang.getHostVM().getClassInitializationSupport()); if (NativeImageOptions.PrintUniverse.getValue()) { printTypes(); } /* Find the entry point methods in the hosted world. */ for (AnalysisMethod m : aUniverse.getMethods()) { if (m.isEntryPoint()) { HostedMethod found = hUniverse.lookup(m); assert found != null; hostedEntryPoints.add(found); } } /* Find main entry point */ if (mainEntryPoint != null) { AnalysisMethod analysisStub = CEntryPointCallStubSupport.singleton().getStubForMethod(mainEntryPoint); mainEntryPointHostedStub = (HostedMethod) hMetaAccess.getUniverse().lookup(analysisStub); assert hostedEntryPoints.contains(mainEntryPointHostedStub); } else { mainEntryPointHostedStub = null; } if (hostedEntryPoints.size() == 0) { throw UserError.abort("Warning: no entry points found, i.e., no method annotated with @" + CEntryPoint.class.getSimpleName()); } heap = new NativeImageHeap(aUniverse, hUniverse, hMetaAccess); BeforeCompilationAccessImpl config = new BeforeCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.beforeCompilation(config)); bigbang.getUnsupportedFeatures().report(bigbang); } catch (UnsupportedFeatureException ufe) { throw UserError.abort(ufe.getMessage()); } recordMethodsWithStackValues(); recordRestrictHeapAccessCallees(aUniverse.getMethods()); /* * After this point, all TypeFlow (and therefore also TypeState) objects are unreachable * and can be garbage collected. This is important to keep the overall memory footprint * low. However, this also means we no longer have complete call chain information. Only * the summarized information stored in the StaticAnalysisResult objects is available * after this point. */ bigbang.cleanupAfterAnalysis(); NativeImageCodeCache codeCache; CompileQueue compileQueue; try (StopTimer t = new Timer(imageName, "compile").start()) { compileQueue = HostedConfiguration.instance().createCompileQueue(debug, featureHandler, hUniverse, runtime, DeoptTester.enabled(), bigbang.getProviders().getSnippetReflection(), compilationExecutor); compileQueue.finish(debug); /* release memory taken by graphs for the image writing */ hUniverse.getMethods().forEach(HostedMethod::clear); codeCache = NativeImageCodeCacheFactory.get().newCodeCache(compileQueue, heap); codeCache.layoutConstants(); codeCache.layoutMethods(debug, imageName); AfterCompilationAccessImpl config = new AfterCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.afterCompilation(config)); } try (Indent indent = debug.logAndIndent("create native image")) { try (DebugContext.Scope buildScope = debug.scope("CreateBootImage")) { try (StopTimer t = new Timer(imageName, "image").start()) { // Start building the model of the native image heap. heap.addInitialObjects(); // Then build the model of the code cache, which can // add objects to the native image heap. codeCache.addConstantsToHeap(); // Finish building the model of the native image heap. heap.addTrailingObjects(); AfterHeapLayoutAccessImpl config = new AfterHeapLayoutAccessImpl(featureHandler, loader, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.afterHeapLayout(config)); this.image = AbstractBootImage.create(k, hUniverse, hMetaAccess, nativeLibraries, heap, codeCache, hostedEntryPoints, mainEntryPointHostedStub, loader.getClassLoader()); image.build(debug); if (NativeImageOptions.PrintUniverse.getValue()) { /* * This debug output must be printed _after_ and not _during_ image * building, because it adds some PrintStream objects to static fields, * which disrupts the heap. */ codeCache.printCompilationResults(); } } } } BeforeImageWriteAccessImpl beforeConfig = new BeforeImageWriteAccessImpl(featureHandler, loader, imageName, image, runtime.getRuntimeConfig(), aUniverse, hUniverse, optionProvider, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.beforeImageWrite(beforeConfig)); try (StopTimer t = new Timer(imageName, "write").start()) { /* * This will write the debug info too -- i.e. we may be writing more than one file, * if the debug info is in a separate file. We need to push writing the file to the * image implementation, because whether the debug info and image share a file or * not is an implementation detail of the image. */ Path tmpDir = tempDirectory(); Path imagePath = image.write(debug, generatedFiles(HostedOptionValues.singleton()), tmpDir, imageName, beforeConfig).getOutputFile(); AfterImageWriteAccessImpl afterConfig = new AfterImageWriteAccessImpl(featureHandler, loader, hUniverse, imagePath, tmpDir, image.getBootImageKind(), debug); featureHandler.forEachFeature(feature -> feature.afterImageWrite(afterConfig)); } } }	long method	long method, magic number, non-descriptive method or variable names, nested block, complex conditional logic, duplicate code	t	t	t	magic number, non-descriptive method or variable names, nested block, complex conditional logic, duplicate code		0	4260	https://github.com/oracle/graal/blob/4deb681aaaa79c248115037fc8e399c9876619fd/substratevm/src/com.oracle.svm.hosted/src/com/oracle/svm/hosted/NativeImageGenerator.java/#L487-L632	2	5515	4260
2309	{ "message": "YES I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: NativeKeyHolder(P11Key p11Key, long keyID, Session keySession, boolean extractKeyInfo, boolean isTokenObject) { this.p11Key = p11Key; this.keyID = keyID; this.refCount = -1; byte[] ki = null; if (isTokenObject) { this.ref = null; } else { this.ref = new SessionKeyRef(p11Key, keyID, keySession); // Try extracting key info, if any error, disable it Token token = p11Key.token; if (extractKeyInfo) { try { if (p11Key.sensitive && nativeKeyWrapperKeyID == 0) { synchronized(NativeKeyHolder.class) { // Create a global wrapping/unwrapping key CK_ATTRIBUTE[] wrappingAttributes = token.getAttributes (O_GENERATE, CKO_SECRET_KEY, CKK_AES, new CK_ATTRIBUTE[] { new CK_ATTRIBUTE(CKA_CLASS, CKO_SECRET_KEY), new CK_ATTRIBUTE(CKA_VALUE_LEN, 256 >> 3), }); Session wrappingSession = null; try { wrappingSession = token.getObjSession(); nativeKeyWrapperKeyID = token.p11.C_GenerateKey (wrappingSession.id(), new CK_MECHANISM(CKM_AES_KEY_GEN), wrappingAttributes); byte[] iv = new byte[16]; JCAUtil.getSecureRandom().nextBytes(iv); nativeKeyWrapperMechanism = new CK_MECHANISM (CKM_AES_CBC_PAD, iv); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(wrappingSession); } } } Session opSession = null; try { opSession = token.getOpSession(); ki = p11Key.token.p11.getNativeKeyInfo(opSession.id(), keyID, nativeKeyWrapperKeyID, nativeKeyWrapperMechanism); } catch (PKCS11Exception e) { // best effort } finally { token.releaseSession(opSession); } } catch (PKCS11Exception e) { // best effort } } } this.nativeKeyInfo = ((ki == null || ki.length == 0)? null : ki); }	long method	long method	t	t	t			0	14095	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.crypto.cryptoki/share/classes/sun/security/pkcs11/P11Key.java/#L1154-L1211	1	2309	14095
3707	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Future monitorUntil(final ActiveAnnotationContext ctx, final CancelIndicator cancelIndicator, final Function0 isFinished) { Future _xblockexpression = null; { final Runnable _function = () -> { try { while ((!(isFinished.apply()).booleanValue())) { { boolean _isCanceled = cancelIndicator.isCanceled(); if (_isCanceled) { CompilationUnitImpl _compilationUnit = ctx.getCompilationUnit(); _compilationUnit.setCanceled(true); return; } Thread.sleep(100); } } } catch (Throwable _e) { throw Exceptions.sneakyThrow(_e); } }; final Runnable r = _function; Future _xtrycatchfinallyexpression = null; try { _xtrycatchfinallyexpression = this.pool.submit(r); } catch (final Throwable _t) { if (_t instanceof RejectedExecutionException) { final RejectedExecutionException e = (RejectedExecutionException)_t; AnnotationProcessor.CancellationObserver.log.debug(e.getMessage(), e); new Thread(r).start(); } else { throw Exceptions.sneakyThrow(_t); } } _xblockexpression = _xtrycatchfinallyexpression; } return _xblockexpression; }	long method	1. long method, 2. data class	t	t	t	2. data class		0	8853	https://github.com/eclipse/xtext-xtend/blob/20500a324127e3ee73cb793a13430ee140246fa7/org.eclipse.xtend.core/xtend-gen/org/eclipse/xtend/core/macro/AnnotationProcessor.java/#L69-L105	1	3707	8853
752	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: else { fstack.add(cfkey); builder.append(offset + "--" + cfkey + "\n"); builder.append(explainFunctionCallGraph(fgraph, fstack, cfkey, level+1)); fstack.remove(cfkey); } } } return builder.toString(); } }	long method	long method, feature envy	t	t	t	feature envy		0	7035	https://github.com/apache/systemml/blob/7fba4b29d653747a9ed038d282954a44fea3031c/src/main/java/org/apache/sysml/utils/Explain.java/#L1103-L1141	1	752	7035
2148	YES I found bad smells the bad smells are: Long method, Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public T get(Duration duration) throws InterruptedException, ExecutionException, TimeoutException { long start = System.currentTimeMillis(); Long end = duration==null ? null : start + duration.toMillisecondsRoundingUp(); while (end==null || end > System.currentTimeMillis()) { if (cancelled) throw new CancellationException(); if (internalFuture == null) { synchronized (this) { long remaining = end - System.currentTimeMillis(); if (internalFuture==null && remaining>0) wait(remaining); } } if (internalFuture != null) break; } Long remaining = end==null ? null : end - System.currentTimeMillis(); if (isDone()) { return internalFuture.get(1, TimeUnit.MILLISECONDS); } else if (remaining == null) { return internalFuture.get(); } else if (remaining > 0) { return internalFuture.get(remaining, TimeUnit.MILLISECONDS); } else { throw new TimeoutException(); } }	long method	Long method, Feature envy	t	f	t	Feature envy		0	13280	https://github.com/apache/incubator-brooklyn/blob/337a5d22d5e9c98cc96ea1085383cbed1ee0b741/brooklyn-server/core/src/main/java/org/apache/brooklyn/util/core/task/BasicTask.java/#L437-L462	2	2148	13280
674	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ClearCacheResponse( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { initFields(); int mutable_bitField0_ = 0; com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(); try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; default: { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { done = true; } break; } case 8: { bitField0_ |= 0x00000001; unfreedBytes_ = input.readInt64(); break; } } } } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.setUnfinishedMessage(this); } catch (java.io.IOException e) { throw new com.google.protobuf.InvalidProtocolBufferException( e.getMessage()).setUnfinishedMessage(this); } finally { this.unknownFields = unknownFields.build(); makeExtensionsImmutable(); } }	long method	long method	t	t	t			0	6568	https://github.com/apache/phoenix/blob/69e5bb0b304a53967cef40b2a4cfc66e69ecaa51/phoenix-core/src/main/java/org/apache/phoenix/coprocessor/generated/MetaDataProtos.java/#L13962-L14001	1	674	6568
1826	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected static void initialize() { STRAM.setChildren(Sets.newHashSet(APPLICATION, TEMPLATE)); APPLICATION.setChildren(Sets.newHashSet(GATEWAY, OPERATOR, STREAM)); OPERATOR.setChildren(Sets.newHashSet(PORT)); PORT.setChildren(Sets.newHashSet(UNIFIER)); STRAM_ELEMENT_TO_CONF_ELEMENT.clear(); //Initialize StramElement to ConfElement for (ConfElement confElement: ConfElement.values()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(confElement.getStramElement(), confElement); for (StramElement sElement: confElement.getAllRelatedElements()) { STRAM_ELEMENT_TO_CONF_ELEMENT.put(sElement, confElement); } } //Initialize attributes for (ConfElement confElement: ConfElement.values()) { if (confElement.getParent() == null) { continue; } setAmbiguousAttributes(confElement); } // build context to conf element map CONTEXT_TO_CONF_ELEMENT.clear(); for (ConfElement confElement: ConfElement.values()) { CONTEXT_TO_CONF_ELEMENT.put(confElement.getContextClass(), confElement); } //Check if all the context classes are accounted for Set> confElementContextClasses = Sets.newHashSet(); for (ConfElement confElement: ConfElement.values()) { if (confElement.getContextClass() == null) { continue; } confElementContextClasses.add(confElement.getContextClass()); } if (!ContextUtils.CONTEXT_CLASSES.equals(confElementContextClasses)) { throw new IllegalStateException("All the context classes " + ContextUtils.CONTEXT_CLASSES + " found in " + Context.class + " are not used by ConfElements " + confElementContextClasses); } }	long method	Long Method, Data Class	t	f	t	Data Class		0	12112	https://github.com/apache/apex-core/blob/d17f464fcaf19778e2f8edbe2b03419151558068/engine/src/main/java/com/datatorrent/stram/plan/logical/LogicalPlanConfiguration.java/#L230-L279	1	1826	12112
2274	YES I found bad smells. The bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private ApplicationDTO buildApplicationDTO( ApplicationRuntimeInformation ari) { ApplicationDTO applicationDTO = new ApplicationDTO(){}; applicationDTO.name = getServiceName( ari._cachingServiceReference::getProperty); applicationDTO.base = _whiteboard.getApplicationBase( ari._cachingServiceReference::getProperty); applicationDTO.serviceId = (Long)ari._cachingServiceReference.getProperty("service.id"); applicationDTO.resourceDTOs = getApplicationEndpointsStream( applicationDTO.name).toArray( ResourceDTO[]::new ); applicationDTO.extensionDTOs = getApplicationExtensionsStream( applicationDTO.name).toArray( ExtensionDTO[]::new ); Map> nameBoundExtensions = new HashMap<>(); Map> extensionResources = new HashMap<>(); for (ExtensionDTO extensionDTO : applicationDTO.extensionDTOs) { if (extensionDTO.nameBindings == null) { continue; } for (String nameBinding : extensionDTO.nameBindings) { Set extensionDTOS = nameBoundExtensions.computeIfAbsent( nameBinding, __ -> new HashSet<>() ); extensionDTOS.add(extensionDTO); } } for (ResourceDTO resourceDTO : applicationDTO.resourceDTOs) { for (ResourceMethodInfoDTO resourceMethodInfo : resourceDTO.resourceMethods) { if (resourceMethodInfo.nameBindings == null) { continue; } for (String nameBinding : resourceMethodInfo.nameBindings) { Set extensionDTOS = nameBoundExtensions.get( nameBinding); if (extensionDTOS != null) { for (ExtensionDTO extensionDTO : extensionDTOS) { Set resourceDTOS = extensionResources.computeIfAbsent( extensionDTO, __ -> new HashSet<>()); resourceDTOS.add(resourceDTO); } } } } } extensionResources.forEach( (extensionDTO, resourceDTOS) -> extensionDTO.filteredByName = resourceDTOS.toArray( new ResourceDTO[0]) ); CxfJaxrsServiceRegistrator cxfJaxRsServiceRegistrator = ari._cxfJaxRsServiceRegistrator; Bus bus = cxfJaxRsServiceRegistrator.getBus(); Iterable> resourceClasses = cxfJaxRsServiceRegistrator.getStaticResourceClasses(); ArrayList resourceMethodInfoDTOS = new ArrayList<>(); for (Class resourceClass : resourceClasses) { resourceMethodInfoDTOS.addAll( ClassIntrospector.getResourceMethodInfos(resourceClass, bus)); } applicationDTO.resourceMethods = resourceMethodInfoDTOS.toArray( new ResourceMethodInfoDTO[0]); return applicationDTO; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	13771	https://github.com/apache/aries-jax-rs-whiteboard/blob/73ef94bb74159e97bbe834c3e17a7eb3c34b7bf6/jax-rs.whiteboard/src/main/java/org/apache/aries/jax/rs/whiteboard/internal/AriesJaxrsServiceRuntime.java/#L943-L1037	2	2274	13771
935	{"response": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public boolean matchesAllInstances(SequenceType testST) { Quantifier stq = sequenceType.getQuantifier(); ItemType it = sequenceType.getItemType(); if (stq.isSubQuantifier(testST.getQuantifier())) { if (it instanceof AnyItemType) { return true; } else if (it.isAtomicType() && testST.getItemType().isAtomicType()) { AtomicType ait = (AtomicType) it; AtomicType testIT = (AtomicType) testST.getItemType(); if (BuiltinTypeRegistry.INSTANCE.isBuiltinTypeId(testIT.getTypeId())) { SchemaType vType = BuiltinTypeRegistry.INSTANCE.getSchemaTypeById(testIT.getTypeId()); while (vType != null && vType.getTypeId() != ait.getTypeId()) { vType = vType.getBaseType(); } return vType != null; } } else if (it instanceof NodeType && testST.getItemType() instanceof NodeType) { NodeType nt = (NodeType) it; NodeKind kind = nt.getNodeKind(); NodeType testNT = (NodeType) testST.getItemType(); NodeKind testKind = testNT.getNodeKind(); if (kind == NodeKind.ANY || kind == testKind) { return true; } } return false; } return false; }	long method	1. long method	t	t	t			0	8393	https://github.com/apache/vxquery/blob/5d1175d2cb04a54ba751295f2ac67daec38bf723/vxquery-core/src/main/java/org/apache/vxquery/runtime/functions/type/SequenceTypeMatcher.java/#L156-L184	1	935	8393
3902	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: final public void DynamicExpression() throws ParseException { /*@bgen(jjtree) DynamicExpression */ AstDynamicExpression jjtn000 = new AstDynamicExpression(JJTDYNAMICEXPRESSION); boolean jjtc000 = true; jjtree.openNodeScope(jjtn000); try { jj_consume_token(START_DYNAMIC_EXPRESSION); Expression(); jj_consume_token(RBRACE); } catch (Throwable jjte000) { if (jjtc000) { jjtree.clearNodeScope(jjtn000); jjtc000 = false; } else { jjtree.popNode(); } if (jjte000 instanceof RuntimeException) { {if (true) throw (RuntimeException)jjte000;} } if (jjte000 instanceof ParseException) { {if (true) throw (ParseException)jjte000;} } {if (true) throw (Error)jjte000;} } finally { if (jjtc000) { jjtree.closeNodeScope(jjtn000, true); } } }	long method	long method	t	t	t			0	10217	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/el/parser/ELParser.java/#L140-L168	1	3902	10217
1942	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private ApplicationDTO buildApplicationDTO( ApplicationRuntimeInformation ari) { ApplicationDTO applicationDTO = new ApplicationDTO(){}; applicationDTO.name = getServiceName( ari._cachingServiceReference::getProperty); applicationDTO.base = _whiteboard.getApplicationBase( ari._cachingServiceReference::getProperty); applicationDTO.serviceId = (Long)ari._cachingServiceReference.getProperty("service.id"); applicationDTO.resourceDTOs = getApplicationEndpointsStream( applicationDTO.name).toArray( ResourceDTO[]::new ); applicationDTO.extensionDTOs = getApplicationExtensionsStream( applicationDTO.name).toArray( ExtensionDTO[]::new ); Map> nameBoundExtensions = new HashMap<>(); Map> extensionResources = new HashMap<>(); for (ExtensionDTO extensionDTO : applicationDTO.extensionDTOs) { if (extensionDTO.nameBindings == null) { continue; } for (String nameBinding : extensionDTO.nameBindings) { Set extensionDTOS = nameBoundExtensions.computeIfAbsent( nameBinding, __ -> new HashSet<>() ); extensionDTOS.add(extensionDTO); } } for (ResourceDTO resourceDTO : applicationDTO.resourceDTOs) { for (ResourceMethodInfoDTO resourceMethodInfo : resourceDTO.resourceMethods) { if (resourceMethodInfo.nameBindings == null) { continue; } for (String nameBinding : resourceMethodInfo.nameBindings) { Set extensionDTOS = nameBoundExtensions.get( nameBinding); if (extensionDTOS != null) { for (ExtensionDTO extensionDTO : extensionDTOS) { Set resourceDTOS = extensionResources.computeIfAbsent( extensionDTO, __ -> new HashSet<>()); resourceDTOS.add(resourceDTO); } } } } } extensionResources.forEach( (extensionDTO, resourceDTOS) -> extensionDTO.filteredByName = resourceDTOS.toArray( new ResourceDTO[0]) ); CxfJaxrsServiceRegistrator cxfJaxRsServiceRegistrator = ari._cxfJaxRsServiceRegistrator; Bus bus = cxfJaxRsServiceRegistrator.getBus(); Iterable> resourceClasses = cxfJaxRsServiceRegistrator.getStaticResourceClasses(); ArrayList resourceMethodInfoDTOS = new ArrayList<>(); for (Class resourceClass : resourceClasses) { resourceMethodInfoDTOS.addAll( ClassIntrospector.getResourceMethodInfos(resourceClass, bus)); } applicationDTO.resourceMethods = resourceMethodInfoDTOS.toArray( new ResourceMethodInfoDTO[0]); return applicationDTO; }	long method	long method, data class	t	t	t	data class		0	12499	https://github.com/apache/aries-jax-rs-whiteboard/blob/73ef94bb74159e97bbe834c3e17a7eb3c34b7bf6/jax-rs.whiteboard/src/main/java/org/apache/aries/jax/rs/whiteboard/internal/AriesJaxrsServiceRuntime.java/#L943-L1037	1	1942	12499
701	{"message": "YES I found bad smells", "bad smells are": ["Long Method", "Blob"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	long method, blob	t	t	t	blob		0	6688	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	1	701	6688
4205	YES I found bad smells. The bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static Class loadClass2(String className, Class callingClass) throws ClassNotFoundException { try { return Class.forName(className); } catch (ClassNotFoundException ex) { try { if (ClassLoaderUtils.class.getClassLoader() != null) { return ClassLoaderUtils.class.getClassLoader().loadClass(className); } } catch (ClassNotFoundException exc) { if (callingClass != null && callingClass.getClassLoader() != null) { return callingClass.getClassLoader().loadClass(className); } } LOG.debug(ex.getMessage(), ex); throw ex; } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	11065	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.xml.crypto/share/classes/com/sun/org/apache/xml/internal/security/c14n/ClassLoaderUtils.java/#L66-L83	2	4205	11065
642	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	Long method 2 Feature envy	t	f	t			0	6353	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	2	642	6353
1947	{"message": "YES I found bad smells. the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private synchronized void checkHealth() { CalculatedStatus status = calculateStatus(); boolean healthy = status.isHealthy(); long now = System.currentTimeMillis(); if (healthy) { stateLastGood.set(now); if (lastPublished == LastPublished.FAILED) { if (currentRecoveryStartTime == null) { LOG.info("{} check for {}, now recovering: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing recovering: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentFailureStartTime != null) { LOG.info("{} check for {}, now healthy: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still healthy: {}", new Object[] {this, entity, getDescription(status)}); } } } else { stateLastFail.set(now); if (lastPublished != LastPublished.FAILED) { if (currentFailureStartTime == null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentFailureStartTime = now; schedulePublish(); } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, continuing failing: {}", new Object[] {this, entity, getDescription(status)}); } } else { if (currentRecoveryStartTime != null) { LOG.info("{} check for {}, now failing: {}", new Object[] {this, entity, getDescription(status)}); currentRecoveryStartTime = null; } else { if (LOG.isTraceEnabled()) LOG.trace("{} check for {}, still failed: {}", new Object[] {this, entity, getDescription(status)}); } } } }	long method	1. long method	t	t	f		long method	0	12523	https://github.com/apache/brooklyn-server/blob/880eb1da00f6358d7fd76d065322e3685bfb1a04/policy/src/main/java/org/apache/brooklyn/policy/ha/AbstractFailureDetector.java/#L223-L265	1	1947	12523
1544	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void configure(TestElement el) { setName(el.getName()); Arguments arguments = (Arguments) el.getProperty(HTTPSamplerBase.ARGUMENTS).getObjectValue(); boolean useRaw = el.getPropertyAsBoolean(HTTPSamplerBase.POST_BODY_RAW, HTTPSamplerBase.POST_BODY_RAW_DEFAULT); if(useRaw) { String postBody = computePostBody(arguments, true); // Convert CRLF to CR, see modifyTestElement postBodyContent.setInitialText(postBody); postBodyContent.setCaretPosition(0); argsPanel.clear(); postContentTabbedPane.setSelectedIndex(tabRawBodyIndex, false); } else { postBodyContent.setInitialText(""); argsPanel.configure(arguments); postContentTabbedPane.setSelectedIndex(TAB_PARAMETERS, false); } if(showFileUploadPane) { filesPanel.configure(el); } domain.setText(el.getPropertyAsString(HTTPSamplerBase.DOMAIN)); String portString = el.getPropertyAsString(HTTPSamplerBase.PORT); // Only display the port number if it is meaningfully specified if (portString.equals(HTTPSamplerBase.UNSPECIFIED_PORT_AS_STRING)) { port.setText(""); // $NON-NLS-1$ } else { port.setText(portString); } protocol.setText(el.getPropertyAsString(HTTPSamplerBase.PROTOCOL)); contentEncoding.setText(el.getPropertyAsString(HTTPSamplerBase.CONTENT_ENCODING)); path.setText(el.getPropertyAsString(HTTPSamplerBase.PATH)); if (notConfigOnly){ method.setText(el.getPropertyAsString(HTTPSamplerBase.METHOD)); followRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.FOLLOW_REDIRECTS)); autoRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.AUTO_REDIRECTS)); useKeepAlive.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.USE_KEEPALIVE)); useMultipart.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.DO_MULTIPART_POST)); useBrowserCompatibleMultipartMode.setSelected(el.getPropertyAsBoolean( HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART, HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART_MODE_DEFAULT)); } }	long method	Long method 2 Feature envy	t	f	t			0	11245	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/protocol/http/org/apache/jmeter/protocol/http/config/gui/UrlConfigGui.java/#L272-L314	2	1544	11245
1561	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { com.google.protobuf.UnknownFieldSet.Builder unknownFields = com.google.protobuf.UnknownFieldSet.newBuilder(this.getUnknownFields()); while (true) { int tag = 0; try { tag = input.readTag(); } catch (Exception e) { // do nothing } switch (tag) { case 0 : this.setUnknownFields(unknownFields.build()); onChanged(); return this; default : { if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) { this.setUnknownFields(unknownFields.build()); onChanged(); return this; } break; } case 10 : { bitField0_ |= 0x00000001; message_ = input.readBytes(); break; } case 16 : { int rawValue = input.readEnum(); org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType value = org.eclipse.orion.server.cf.loggregator.LoggregatorMessage.Message.MessageType.valueOf(rawValue); if (value == null) { unknownFields.mergeVarintField(2, rawValue); } else { bitField0_ |= 0x00000002; messageType_ = value; } break; } case 24 : { bitField0_ |= 0x00000004; timestamp_ = input.readSInt64(); break; } case 34 : { bitField0_ |= 0x00000008; appId_ = input.readBytes(); break; } case 50 : { bitField0_ |= 0x00000010; sourceId_ = input.readBytes(); break; } case 58 : { ensureDrainUrlsIsMutable(); drainUrls_.add(input.readBytes()); break; } case 66 : { bitField0_ |= 0x00000040; sourceName_ = input.readBytes(); break; } } } }	long method	Long Method	t	f	t			0	11308	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.cf/src/org/eclipse/orion/server/cf/loggregator/LoggregatorMessage.java/#L651-L716	1	1561	11308
1179	{"response": "YES, I found bad smells", "bad smells are": ["Long Method", "Feature Envy"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public Object doExecute() throws Exception { Group group = groupManager.findGroupByName(groupName); if (group == null) { System.err.println("Cluster group " + groupName + " doesn't exist"); return null; } CellarSupport support = new CellarSupport(); support.setClusterManager(clusterManager); support.setGroupManager(groupManager); support.setConfigurationAdmin(configurationAdmin); if (!in && !out) { in = true; out = true; } if (!whitelist && !blacklist) { whitelist = true; blacklist = true; } if (pid == null || pid.isEmpty()) { // display mode if (in) { System.out.println("INBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND); System.out.println(list.toString()); } } if (out) { System.out.println("OUTBOUND:"); if (whitelist) { System.out.print("\twhitelist: "); Set list = support.getListEntries(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } if (blacklist) { System.out.print("\tblacklist: "); Set list = support.getListEntries(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND); System.out.println(list.toString()); } } } else { // edit mode System.out.println("Updating blocking policy for " + pid); if (in) { if (whitelist) { System.out.println("\tinbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } if (blacklist) { System.out.println("\tinbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.INBOUND, pid); } } if (out) { if (whitelist) { System.out.println("\toutbound whitelist ..."); support.switchListEntry(Configurations.WHITELIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } if (blacklist) { System.out.println("\toutbound blacklist ..."); support.switchListEntry(Configurations.BLACKLIST, groupName, Constants.CATEGORY, EventType.OUTBOUND, pid); } } } return null; }	long method	long method, feature envy	t	t	t	feature envy		0	10227	https://github.com/apache/karaf-cellar/blob/4082b26110e56973dceb2563395f8aed3f294dd1/config/src/main/java/org/apache/karaf/cellar/config/shell/BlockCommand.java/#L56-L132	1	1179	10227
1587	YES I found bad smells the bad smells are: 1. Feature envy 2. Long method 3. Code duplication 4. Lack of comments/documentation 5. Poor variable naming/descriptive names 6. Code that is difficult to understand/maintain 7. Potential violation of single responsibility principle 8. Potential catch-all exception handling.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static void registerConfigOptions(IConfigManager configManager) { AsterixProperties.registerConfigOptions(configManager); ControllerConfig.Option.DEFAULT_DIR .setDefaultValue(FileUtil.joinPath(System.getProperty(ConfigurationUtil.JAVA_IO_TMPDIR), "asterixdb")); NCConfig.Option.APP_CLASS.setDefaultValue(NCApplication.class.getName()); CCConfig.Option.APP_CLASS.setDefaultValue(CCApplication.class.getName()); try { InputStream propertyStream = ApplicationConfigurator.class.getClassLoader().getResourceAsStream("git.properties"); if (propertyStream != null) { Properties gitProperties = new Properties(); gitProperties.load(propertyStream); StringWriter sw = new StringWriter(); gitProperties.store(sw, null); configManager.setVersionString(sw.toString()); } } catch (IOException e) { throw new IllegalStateException(e); } }	long method	Feature envy2 Long method3 Code duplication4 Lack of comments/documentation5 Poor variable naming/descriptive names6 Code that is difficult to understand/maintain7 Potential violation of single responsibility principle 8 Potential catch-all exception handling	t	f	t			0	11373	https://github.com/apache/asterixdb/blob/223d13a06c4a4a58408aeac19674ac1f36f5ff35/asterixdb/asterix-app/src/main/java/org/apache/asterix/hyracks/bootstrap/ApplicationConfigurator.java/#L45-L65	2	1587	11373
2089	{ "message": "YES I found bad smells", "detected_bad_smells": [ "1. Blob", "2. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void resizeInstructions() { byte[] b = code.data; // bytecode of the method int u, v, label; // indexes in b int i, j; // loop indexes /* * 1st step: As explained above, resizing an instruction may require to * resize another one, which may require to resize yet another one, and * so on. The first step of the algorithm consists in finding all the * instructions that need to be resized, without modifying the code. * This is done by the following "fix point" algorithm: * * Parse the code to find the jump instructions whose offset will need * more than 2 bytes to be stored (the future offset is computed from * the current offset and from the number of bytes that will be inserted * or removed between the source and target instructions). For each such * instruction, adds an entry in (a copy of) the indexes and sizes * arrays (if this has not already been done in a previous iteration!). * * If at least one entry has been added during the previous step, go * back to the beginning, otherwise stop. * * In fact the real algorithm is complicated by the fact that the size * of TABLESWITCH and LOOKUPSWITCH instructions depends on their * position in the bytecode (because of padding). In order to ensure the * convergence of the algorithm, the number of bytes to be added or * removed from these instructions is over estimated during the previous * loop, and computed exactly only after the loop is finished (this * requires another pass to parse the bytecode of the method). */ int[] allIndexes = new int[0]; // copy of indexes int[] allSizes = new int[0]; // copy of sizes boolean[] resize; // instructions to be resized int newOffset; // future offset of a jump instruction resize = new boolean[code.length]; // 3 = loop again, 2 = loop ended, 1 = last pass, 0 = done int state = 3; do { if (state == 3) { state = 2; } u = 0; while (u < b.length) { int opcode = b[u] & 0xFF; // opcode of current instruction int insert = 0; // bytes to be added after this instruction switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // converts temporary opcodes 202 to 217, 218 and // 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (newOffset < Short.MIN_VALUE || newOffset > Short.MAX_VALUE) { if (!resize[u]) { if (opcode == Opcodes.GOTO || opcode == Opcodes.JSR) { // two additional bytes will be required to // replace this GOTO or JSR instruction with // a GOTO_W or a JSR_W insert = 2; } else { // five additional bytes will be required to // replace this IFxxx instruction with // IFNOTxxx GOTO_W , where IFNOTxxx // is the "opposite" opcode of IFxxx (i.e., // IFNE for IFEQ) and where designates // the instruction just after the GOTO_W. insert = 5; } resize[u] = true; } } u += 3; break; case ClassWriter.LABELW_INSN: u += 5; break; case ClassWriter.TABL_INSN: if (state == 1) { // true number of bytes to be added (or removed) // from this instruction = (future number of padding // bytes - current number of padding byte) - // previously over estimated variation = // = ((3 - newOffset%4) - (3 - u%4)) - u%4 // = (-newOffset%4 + u%4) - u%4 // = -(newOffset & 3) newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // over estimation of the number of bytes to be // added to this instruction = 3 - current number // of padding bytes = 3 - (3 - u%4) = u%4 = u & 3 insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 4 * (readInt(b, u + 8) - readInt(b, u + 4) + 1) + 12; break; case ClassWriter.LOOK_INSN: if (state == 1) { // like TABL_INSN newOffset = getNewOffset(allIndexes, allSizes, 0, u); insert = -(newOffset & 3); } else if (!resize[u]) { // like TABL_INSN insert = u & 3; resize[u] = true; } // skips instruction u = u + 4 - (u & 3); u += 8 * readInt(b, u + 4) + 8; break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { u += 6; } else { u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: u += 5; break; // case ClassWriter.MANA_INSN: default: u += 4; break; } if (insert != 0) { // adds a new (u, insert) entry in the allIndexes and // allSizes arrays int[] newIndexes = new int[allIndexes.length + 1]; int[] newSizes = new int[allSizes.length + 1]; System.arraycopy(allIndexes, 0, newIndexes, 0, allIndexes.length); System.arraycopy(allSizes, 0, newSizes, 0, allSizes.length); newIndexes[allIndexes.length] = u; newSizes[allSizes.length] = insert; allIndexes = newIndexes; allSizes = newSizes; if (insert > 0) { state = 3; } } } if (state < 3) { --state; } } while (state != 0); // 2nd step: // copies the bytecode of the method into a new bytevector, updates the // offsets, and inserts (or removes) bytes as requested. ByteVector newCode = new ByteVector(code.length); u = 0; while (u < code.length) { int opcode = b[u] & 0xFF; switch (ClassWriter.TYPE[opcode]) { case ClassWriter.NOARG_INSN: case ClassWriter.IMPLVAR_INSN: newCode.putByte(opcode); u += 1; break; case ClassWriter.LABEL_INSN: if (opcode > 201) { // changes temporary opcodes 202 to 217 (inclusive), 218 // and 219 to IFEQ ... JSR (inclusive), IFNULL and // IFNONNULL opcode = opcode < 218 ? opcode - 49 : opcode - 20; label = u + readUnsignedShort(b, u + 1); } else { label = u + readShort(b, u + 1); } newOffset = getNewOffset(allIndexes, allSizes, u, label); if (resize[u]) { // replaces GOTO with GOTO_W, JSR with JSR_W and IFxxx // with IFNOTxxx GOTO_W , where IFNOTxxx is // the "opposite" opcode of IFxxx (i.e., IFNE for IFEQ) // and where designates the instruction just after // the GOTO_W. if (opcode == Opcodes.GOTO) { newCode.putByte(200); // GOTO_W } else if (opcode == Opcodes.JSR) { newCode.putByte(201); // JSR_W } else { newCode.putByte(opcode <= 166 ? ((opcode + 1) ^ 1) - 1 : opcode ^ 1); newCode.putShort(8); // jump offset newCode.putByte(200); // GOTO_W // newOffset now computed from start of GOTO_W newOffset -= 3; } newCode.putInt(newOffset); } else { newCode.putByte(opcode); newCode.putShort(newOffset); } u += 3; break; case ClassWriter.LABELW_INSN: label = u + readInt(b, u + 1); newOffset = getNewOffset(allIndexes, allSizes, u, label); newCode.putByte(opcode); newCode.putInt(newOffset); u += 5; break; case ClassWriter.TABL_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.TABLESWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); j = readInt(b, u) - j + 1; u += 4; newCode.putInt(readInt(b, u - 4)); for (; j > 0; --j) { label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.LOOK_INSN: // skips 0 to 3 padding bytes v = u; u = u + 4 - (v & 3); // reads and copies instruction newCode.putByte(Opcodes.LOOKUPSWITCH); newCode.putByteArray(null, 0, (4 - newCode.length % 4) % 4); label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); j = readInt(b, u); u += 4; newCode.putInt(j); for (; j > 0; --j) { newCode.putInt(readInt(b, u)); u += 4; label = v + readInt(b, u); u += 4; newOffset = getNewOffset(allIndexes, allSizes, v, label); newCode.putInt(newOffset); } break; case ClassWriter.WIDE_INSN: opcode = b[u + 1] & 0xFF; if (opcode == Opcodes.IINC) { newCode.putByteArray(b, u, 6); u += 6; } else { newCode.putByteArray(b, u, 4); u += 4; } break; case ClassWriter.VAR_INSN: case ClassWriter.SBYTE_INSN: case ClassWriter.LDC_INSN: newCode.putByteArray(b, u, 2); u += 2; break; case ClassWriter.SHORT_INSN: case ClassWriter.LDCW_INSN: case ClassWriter.FIELDORMETH_INSN: case ClassWriter.TYPE_INSN: case ClassWriter.IINC_INSN: newCode.putByteArray(b, u, 3); u += 3; break; case ClassWriter.ITFMETH_INSN: case ClassWriter.INDYMETH_INSN: newCode.putByteArray(b, u, 5); u += 5; break; // case MANA_INSN: default: newCode.putByteArray(b, u, 4); u += 4; break; } } // recomputes the stack map frames if (frameCount > 0) { if (compute == FRAMES) { frameCount = 0; stackMap = null; previousFrame = null; frame = null; Frame f = new Frame(); f.owner = labels; Type[] args = Type.getArgumentTypes(descriptor); f.initInputFrame(cw, access, args, maxLocals); visitFrame(f); Label l = labels; while (l != null) { /* * here we need the original label position. getNewOffset * must therefore never have been called for this label. */ u = l.position - 3; if ((l.status & Label.STORE) != 0 || (u >= 0 && resize[u])) { getNewOffset(allIndexes, allSizes, l); // TODO update offsets in UNINITIALIZED values visitFrame(l.frame); } l = l.successor; } } else { /* * Resizing an existing stack map frame table is really hard. * Not only the table must be parsed to update the offets, but * new frames may be needed for jump instructions that were * inserted by this method. And updating the offsets or * inserting frames can change the format of the following * frames, in case of packed frames. In practice the whole table * must be recomputed. For this the frames are marked as * potentially invalid. This will cause the whole class to be * reread and rewritten with the COMPUTE_FRAMES option (see the * ClassWriter.toByteArray method). This is not very efficient * but is much easier and requires much less code than any other * method I can think of. */ cw.invalidFrames = true; } } // updates the exception handler block labels Handler h = firstHandler; while (h != null) { getNewOffset(allIndexes, allSizes, h.start); getNewOffset(allIndexes, allSizes, h.end); getNewOffset(allIndexes, allSizes, h.handler); h = h.next; } // updates the instructions addresses in the // local var and line number tables for (i = 0; i < 2; ++i) { ByteVector bv = i == 0 ? localVar : localVarType; if (bv != null) { b = bv.data; u = 0; while (u < bv.length) { label = readUnsignedShort(b, u); newOffset = getNewOffset(allIndexes, allSizes, 0, label); writeShort(b, u, newOffset); label += readUnsignedShort(b, u + 2); newOffset = getNewOffset(allIndexes, allSizes, 0, label) - newOffset; writeShort(b, u + 2, newOffset); u += 10; } } } if (lineNumber != null) { b = lineNumber.data; u = 0; while (u < lineNumber.length) { writeShort( b, u, getNewOffset(allIndexes, allSizes, 0, readUnsignedShort(b, u))); u += 4; } } // updates the labels of the other attributes Attribute attr = cattrs; while (attr != null) { Label[] labels = attr.getLabels(); if (labels != null) { for (i = labels.length - 1; i >= 0; --i) { getNewOffset(allIndexes, allSizes, labels[i]); } } attr = attr.next; } // replaces old bytecodes with new ones code = newCode; }	long method	1. blob, 2. long method	t	t	t	1. blob		0	13117	https://github.com/apache/tajo/blob/fb326195083959014c82c10187cb46de91ece33f/tajo-thirdparty/asm/src/main/java/org/apache/tajo/org/objectweb/asm/MethodWriter.java/#L2145-L2559	1	2089	13117
3412	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers 3. Hard-coded strings 4. Code duplication	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final void mRULE_ML_COMMENT() throws RecognitionException { try { int _type = RULE_ML_COMMENT; int _channel = DEFAULT_TOKEN_CHANNEL; // InternalCrossReferenceProposalTestLanguage.g:169:17: ( '/*' ( options {greedy=false; } : . )* '*/' ) // InternalCrossReferenceProposalTestLanguage.g:169:19: '/*' ( options {greedy=false; } : . )* '*/' { match("/*"); // InternalCrossReferenceProposalTestLanguage.g:169:24: ( options {greedy=false; } : . )* loop7: do { int alt7=2; int LA7_0 = input.LA(1); if ( (LA7_0=='*') ) { int LA7_1 = input.LA(2); if ( (LA7_1=='/') ) { alt7=2; } else if ( ((LA7_1>='\u0000' && LA7_1<='.')||(LA7_1>='0' && LA7_1<='\uFFFF')) ) { alt7=1; } } else if ( ((LA7_0>='\u0000' && LA7_0<=')')||(LA7_0>='+' && LA7_0<='\uFFFF')) ) { alt7=1; } switch (alt7) { case 1 : // InternalCrossReferenceProposalTestLanguage.g:169:52: . { matchAny(); } break; default : break loop7; } } while (true); match("*/"); } state.type = _type; state.channel = _channel; } finally { } }	long method	Long method2 Magic numbers3 Hard-coded strings4 Code duplication	t	f	t			0	6662	https://github.com/eclipse/xtext-eclipse/blob/0c7546b6aaf3644a77fc68eef9f3da368cbbeabd/org.eclipse.xtext.ui.tests/src-gen/org/eclipse/xtext/ui/tests/editor/contentassist/parser/antlr/internal/InternalCrossReferenceProposalTestLanguageLexer.java/#L373-L429	2	3412	6662
1679	YES, I found bad smells. The bad smells are: 1. Long method, 2. Duplicated code, 3. Conditional complexity, 4. Long parameter list	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void log(Operation op, OperationProcessingContext context, String msg, Level logLevel) { String hostId = context.host != null ? context.host.getId() : ""; String path = op.getUri() != null ? op.getUri().getPath() : ""; Filter filter = this.filters.get(context.currentFilterPosition); String filterName = filter != null ? filter.getClass().getSimpleName() : ""; String logMsg = String.format("(host: %s, op %d %s %s) filter %s: %s", hostId, op.getId(), op.getAction(), path, filterName, msg); Level level = logLevel != null ? logLevel : Level.INFO; Utils.log(getClass(), op.getUri().getPath(), level, logMsg); }	long method	Long method, 2 Duplicated code, 3 Conditional complexity, 4 Long parameter list	t	f	t	2. Duplicated code, 3. Conditional complexity, 4. Long parameter list		0	11653	https://github.com/vmware/xenon/blob/b6fb48b745985af2efc59b7ee0e5e7d69a289fbc/xenon-common/src/main/java/com/vmware/xenon/common/OperationProcessingChain.java/#L345-L354	2	1679	11653
1390	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void close() throws IOException { boolean success = false; try { if (meta != null) { meta.writeInt(-1); // write EOF marker CodecUtil.writeFooter(meta); // write checksum } if (data != null) { CodecUtil.writeFooter(data); // write checksum } success = true; } finally { if (success) { IOUtils.close(data, meta); } else { IOUtils.closeWhileHandlingException(data, meta); } meta = data = null; } }	long method	Long Method, Data Class	t	f	t	Data Class		0	10841	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/backward-codecs/src/java/org/apache/lucene/codecs/lucene70/Lucene70DocValuesConsumer.java/#L83-L103	1	1390	10841
885	YES I found bad smells the bad smells are: 1. Long method 2. Magic numbers 3. Repeated code 4. Data clump 5. Feature envy 6. Assert statements 7. Null checks 8. Incomplete error handling	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void checkAlternativeConstructor() { // Local Declarations MasterDetailsPair mDetailsP; DataComponent dComponent; String MasterType1 = "TypeOne!"; // Setup DataComponent dComponent = new DataComponent(); dComponent.setName(MasterType1); IEntry entry = new StringEntry(); // Add entry to dComponent dComponent.addEntry(entry); // Call Alternative Constructor mDetailsP = new MasterDetailsPair(MasterType1, dComponent); // Check values. Should be typeone and equal to the declared // dataComponent assertEquals(MasterType1, mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // Try to pass null to the constructor - sets values appropriately mDetailsP = new MasterDetailsPair(null, dComponent); // null master assertNull(mDetailsP.getMaster()); assertTrue(dComponent.equals(mDetailsP.getDetails())); // DataComponent null mDetailsP = new MasterDetailsPair(MasterType1, null); assertEquals(MasterType1, mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); // Both null mDetailsP = new MasterDetailsPair(null, null); assertNull(mDetailsP.getMaster()); assertNull(mDetailsP.getDetails()); }	long method	Long method2 Magic numbers3 Repeated code4 Data clump5 Feature envy6 Assert statements7 Null checks8 Incomplete error handling	t	f	t			0	8053	https://github.com/eclipse/ice/blob/3f6e0265f5b476ff90a660397ce83992944142c4/org.eclipse.ice.tests.datastructures/src/org/eclipse/ice/tests/datastructures/MasterDetailsPairTester.java/#L201-L238	2	885	8053
2750	YES I found bad smells 1. Long Method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public String getLoggerLevel(String loggerName) { String result = null; /*[IF Sidecar19-SE]*/ try { Object logger = getLoggerFromName(loggerName); /*[ELSE] Logger logger = LogManager.getLogManager().getLogger(loggerName); /*[ENDIF]*/ if (logger != null) { // The named Logger exists. Now attempt to obtain its log level. /*[IF Sidecar19-SE]*/ Object level = logger_getLevel.invoke(logger); /*[ELSE] Level level = logger.getLevel(); /*[ENDIF]*/ if (level != null) { /*[IF Sidecar19-SE]*/ result = (String)level_getName.invoke(level); /*[ELSE] result = level.getName(); /*[ENDIF]*/ } else { // A null return from getLevel() means that the Logger // is inheriting its log level from an ancestor. Return an // empty string to the caller. result = ""; //$NON-NLS-1$ } } /*[IF Sidecar19-SE]*/ } catch (Exception e) { throw handleError(e); } /*[ENDIF]*/ return result; }	long method	Long Method2 Feature Envy	t	f	t			0	818	https://github.com/eclipse/openj9/blob/4911084853eb75b20e037c434ad4521b7317ebfb/jcl/src/java.management/share/classes/com/ibm/java/lang/management/internal/LoggingMXBeanImpl.java/#L148-L186	2	2750	818
1459	{ "message": "YES I found bad smells", "bad smells are": [ "Feature Envy", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	feature envy, long method	t	t	t	feature envy		0	11020	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	1	1459	11020
2131	YES I found bad smells the bad smells are: 1. Duplicate code (creating multiple nodes) 2. Long method (contains multiple operations) 3. Feature envy (NodeManager.add method being used frequently) 4. Primitive obsession (defining variable types as double and integer instead of creating custom objects) 5. Catch and hide exception (no proper handling of the exception) 6. Lack of readability and organization, making it difficult to understand the flow of the code.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void addDataAccessNodes(UaFolderNode rootNode) { // DataAccess folder UaFolderNode dataAccessFolder = new UaFolderNode( getNodeContext(), newNodeId("HelloWorld/DataAccess"), newQualifiedName("DataAccess"), LocalizedText.english("DataAccess") ); getNodeManager().addNode(dataAccessFolder); rootNode.addOrganizes(dataAccessFolder); // AnalogItemType node try { AnalogItemNode node = (AnalogItemNode) getNodeFactory().createNode( newNodeId("HelloWorld/DataAccess/AnalogValue"), Identifiers.AnalogItemType, true ); node.setBrowseName(newQualifiedName("AnalogValue")); node.setDisplayName(LocalizedText.english("AnalogValue")); node.setDataType(Identifiers.Double); node.setValue(new DataValue(new Variant(3.14d))); node.setEURange(new Range(0.0, 100.0)); getNodeManager().addNode(node); dataAccessFolder.addOrganizes(node); } catch (UaException e) { logger.error("Error creating AnalogItemType instance: {}", e.getMessage(), e); } }	long method	Duplicate code (creating multiple nodes)2 Long method (contains multiple operations)3 Feature envy (NodeManageradd method being used frequently)4 Primitive obsession (defining variable types as double and integer instead of creating custom objects)5 Catch and hide exception (no proper handling of the exception)6 Lack of readability and organization, making it difficult to understand the flow of the code	t	f	t	making it difficult to understand the flow of the code.		0	13232	https://github.com/eclipse/milo/blob/e752e540d31eb3c226e6e79dd197c54d7d254685/milo-examples/server-examples/src/main/java/org/eclipse/milo/examples/server/ExampleNamespace.java/#L503-L535	2	2131	13232
1420	{ "answer": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public String getColumnText(Object element, int columnIndex) { if (element instanceof HadoopServer) { HadoopServer server = (HadoopServer) element; switch (columnIndex) { case 0: return server.getLocationName(); case 1: return server.getMasterHostName().toString(); case 2: return server.getState(); case 3: return ""; } } else if (element instanceof HadoopJob) { HadoopJob job = (HadoopJob) element; switch (columnIndex) { case 0: return job.getJobID().toString(); case 1: return ""; case 2: return job.getState().toString(); case 3: return job.getStatus(); } } else if (element instanceof JarModule) { JarModule jar = (JarModule) element; switch (columnIndex) { case 0: return jar.toString(); case 1: return "Publishing jar to server.."; case 2: return ""; } } return null; }	long method	Long Method	t	f	t			0	10928	https://github.com/apache/hadoop-mapreduce/blob/307cb5b316e10defdbbc228d8cdcdb627191ea15/src/contrib/eclipse-plugin/src/java/org/apache/hadoop/eclipse/view/servers/ServerView.java/#L369-L410	1	1420	10928
28	{ "message": "YES I found bad smells", "bad smells": [ "Data Class", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	data class, long method	t	t	t	data class		0	712	https://github.com/eclipse/elk/blob/9a87764f00d863463b1be6de1920d8aa3c3ade70/plugins/org.eclipse.elk.core.meta.ui/src-gen/org/eclipse/elk/core/meta/ide/contentassist/antlr/internal/InternalMetaDataParser.java/#L22554-L22599	1	28	712
445	YES I found bad smells. The bad smells are: 1. Long method 2. Redundant code 3. Code duplication 4. Complex control flow 5. Inconsistent naming conventions	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final void rule__Action__OperatorAssignment_2_2() throws RecognitionException { int stackSize = keepStackSize(); try { // InternalXtextGrammarTestLanguage.g:6076:1: ( ( ( rule__Action__OperatorAlternatives_2_2_0 ) ) ) // InternalXtextGrammarTestLanguage.g:6077:2: ( ( rule__Action__OperatorAlternatives_2_2_0 ) ) { // InternalXtextGrammarTestLanguage.g:6077:2: ( ( rule__Action__OperatorAlternatives_2_2_0 ) ) // InternalXtextGrammarTestLanguage.g:6078:3: ( rule__Action__OperatorAlternatives_2_2_0 ) { before(grammarAccess.getActionAccess().getOperatorAlternatives_2_2_0()); // InternalXtextGrammarTestLanguage.g:6079:3: ( rule__Action__OperatorAlternatives_2_2_0 ) // InternalXtextGrammarTestLanguage.g:6079:4: rule__Action__OperatorAlternatives_2_2_0 { pushFollow(FOLLOW_2); rule__Action__OperatorAlternatives_2_2_0(); state._fsp--; } after(grammarAccess.getActionAccess().getOperatorAlternatives_2_2_0()); } } } catch (RecognitionException re) { reportError(re); recover(input,re); } finally { restoreStackSize(stackSize); } return ; }	long method	Long method 2 Redundant code 3 Code duplication 4 Complex control flow 5 Inconsistent naming conventions	t	f	t			0	4346	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.testlanguages.ide/src-gen/org/eclipse/xtext/testlanguages/xtextgrammar/ide/contentassist/antlr/internal/InternalXtextGrammarTestLanguageParser.java/#L18472-L18513	2	445	4346
1817	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Temporary fields 4. Duplicate code 5. Catch-all exception handling 6. Resource cleanup issues (closing sentryClient in finally block instead of using try-with-resources)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	Long method2 Feature envy3 Temporary fields4 Duplicate code5 Catch-all exception handling6 Resource cleanup issues (closing sentryClient in finally block instead of using try-with-resources)	t	f	t			0	12088	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	2	1817	12088
971	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final EObject ruleXOtherOperatorExpression() throws RecognitionException { EObject current = null; EObject this_XAdditiveExpression_0 = null; EObject lv_rightOperand_3_0 = null; enterRule(); try { // InternalXbase.g:873:2: ( (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) ) // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) { // InternalXbase.g:874:2: (this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* ) // InternalXbase.g:875:3: this_XAdditiveExpression_0= ruleXAdditiveExpression ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getXAdditiveExpressionParserRuleCall_0()); } pushFollow(FOLLOW_14); this_XAdditiveExpression_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current = this_XAdditiveExpression_0; afterParserOrEnumRuleCall(); } // InternalXbase.g:883:3: ( ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) )* loop11: do { int alt11=2; alt11 = dfa11.predict(input); switch (alt11) { case 1 : // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) { // InternalXbase.g:884:4: ( ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) ) // InternalXbase.g:885:5: ( ( () ( ( ruleOpOther ) ) ) )=> ( () ( ( ruleOpOther ) ) ) { // InternalXbase.g:895:5: ( () ( ( ruleOpOther ) ) ) // InternalXbase.g:896:6: () ( ( ruleOpOther ) ) { // InternalXbase.g:896:6: () // InternalXbase.g:897:7: { if ( state.backtracking==0 ) { current = forceCreateModelElementAndSet( grammarAccess.getXOtherOperatorExpressionAccess().getXBinaryOperationLeftOperandAction_1_0_0_0(), current); } } // InternalXbase.g:903:6: ( ( ruleOpOther ) ) // InternalXbase.g:904:7: ( ruleOpOther ) { // InternalXbase.g:904:7: ( ruleOpOther ) // InternalXbase.g:905:8: ruleOpOther { if ( state.backtracking==0 ) { if (current==null) { current = createModelElement(grammarAccess.getXOtherOperatorExpressionRule()); } } if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getFeatureJvmIdentifiableElementCrossReference_1_0_0_1_0()); } pushFollow(FOLLOW_4); ruleOpOther(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { afterParserOrEnumRuleCall(); } } } } } // InternalXbase.g:921:4: ( (lv_rightOperand_3_0= ruleXAdditiveExpression ) ) // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) { // InternalXbase.g:922:5: (lv_rightOperand_3_0= ruleXAdditiveExpression ) // InternalXbase.g:923:6: lv_rightOperand_3_0= ruleXAdditiveExpression { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXOtherOperatorExpressionAccess().getRightOperandXAdditiveExpressionParserRuleCall_1_1_0()); } pushFollow(FOLLOW_14); lv_rightOperand_3_0=ruleXAdditiveExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { if (current==null) { current = createModelElementForParent(grammarAccess.getXOtherOperatorExpressionRule()); } set( current, "rightOperand", lv_rightOperand_3_0, "org.eclipse.xtext.xbase.Xbase.XAdditiveExpression"); afterParserOrEnumRuleCall(); } } } } break; default : break loop11; } } while (true); } } if ( state.backtracking==0 ) { leaveRule(); } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy		0	8713	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.xbase/src-gen/org/eclipse/xtext/xbase/parser/antlr/internal/InternalXbaseParser.java/#L2675-L2841	2	971	8713
1830	{"response": "YES, I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public double correlation(final double[] xArray, final double[] yArray) throws DimensionMismatchException { if (xArray.length != yArray.length) { throw new DimensionMismatchException(xArray.length, yArray.length); } final int n = xArray.length; final long numPairs = sum(n - 1); @SuppressWarnings("unchecked") Pair[] pairs = new Pair[n]; for (int i = 0; i < n; i++) { pairs[i] = new Pair<>(xArray[i], yArray[i]); } Arrays.sort(pairs, new Comparator>() { /** {@inheritDoc} */ @Override public int compare(Pair pair1, Pair pair2) { int compareFirst = pair1.getFirst().compareTo(pair2.getFirst()); return compareFirst != 0 ? compareFirst : pair1.getSecond().compareTo(pair2.getSecond()); } }); long tiedXPairs = 0; long tiedXYPairs = 0; long consecutiveXTies = 1; long consecutiveXYTies = 1; Pair prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getFirst().equals(prev.getFirst())) { consecutiveXTies++; if (curr.getSecond().equals(prev.getSecond())) { consecutiveXYTies++; } else { tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } } else { tiedXPairs += sum(consecutiveXTies - 1); consecutiveXTies = 1; tiedXYPairs += sum(consecutiveXYTies - 1); consecutiveXYTies = 1; } prev = curr; } tiedXPairs += sum(consecutiveXTies - 1); tiedXYPairs += sum(consecutiveXYTies - 1); long swaps = 0; @SuppressWarnings("unchecked") Pair[] pairsDestination = new Pair[n]; for (int segmentSize = 1; segmentSize < n; segmentSize <<= 1) { for (int offset = 0; offset < n; offset += 2 * segmentSize) { int i = offset; final int iEnd = FastMath.min(i + segmentSize, n); int j = iEnd; final int jEnd = FastMath.min(j + segmentSize, n); int copyLocation = offset; while (i < iEnd || j < jEnd) { if (i < iEnd) { if (j < jEnd) { if (pairs[i].getSecond().compareTo(pairs[j].getSecond()) <= 0) { pairsDestination[copyLocation] = pairs[i]; i++; } else { pairsDestination[copyLocation] = pairs[j]; j++; swaps += iEnd - i; } } else { pairsDestination[copyLocation] = pairs[i]; i++; } } else { pairsDestination[copyLocation] = pairs[j]; j++; } copyLocation++; } } final Pair[] pairsTemp = pairs; pairs = pairsDestination; pairsDestination = pairsTemp; } long tiedYPairs = 0; long consecutiveYTies = 1; prev = pairs[0]; for (int i = 1; i < n; i++) { final Pair curr = pairs[i]; if (curr.getSecond().equals(prev.getSecond())) { consecutiveYTies++; } else { tiedYPairs += sum(consecutiveYTies - 1); consecutiveYTies = 1; } prev = curr; } tiedYPairs += sum(consecutiveYTies - 1); final long concordantMinusDiscordant = numPairs - tiedXPairs - tiedYPairs + tiedXYPairs - 2 * swaps; final double nonTiedPairsMultiplied = (numPairs - tiedXPairs) * (double) (numPairs - tiedYPairs); return concordantMinusDiscordant / FastMath.sqrt(nonTiedPairsMultiplied); }	long method	long method	t	t	t			0	12121	https://github.com/apache/commons-math/blob/f3719d89ab6a928e8618bbe6a7da8214d9d6eb07/src/main/java/org/apache/commons/math4/stat/correlation/KendallsCorrelation.java/#L154-L261	1	1830	12121
1038	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public CallableStatement prepareCall(String sql) throws SQLException { checkState(); PreparedStatementHolder stmtHolder = null; PreparedStatementKey key = new PreparedStatementKey(sql, getCatalog(), MethodType.Precall_1); boolean poolPreparedStatements = holder.isPoolPreparedStatements(); if (poolPreparedStatements) { stmtHolder = holder.getStatementPool().get(key); } if (stmtHolder == null) { try { stmtHolder = new PreparedStatementHolder(key, conn.prepareCall(sql)); holder.getDataSource().incrementPreparedStatementCount(); } catch (SQLException ex) { handleException(ex, sql); } } initStatement(stmtHolder); DruidPooledCallableStatement rtnVal = new DruidPooledCallableStatement(this, stmtHolder); holder.addTrace(rtnVal); return rtnVal; }	long method	long method	t	t	t			0	9410	https://github.com/alibaba/druid/blob/768469fe4d1340efe1036453366a58c9ab7e30d1/src/main/java/com/alibaba/druid/pool/DruidPooledConnection.java/#L534-L563	1	1038	9410
2130	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static byte[] getIP() { try { Enumeration allNetInterfaces = NetworkInterface.getNetworkInterfaces(); InetAddress ip = null; byte[] internalIP = null; while (allNetInterfaces.hasMoreElements()) { NetworkInterface netInterface = (NetworkInterface) allNetInterfaces.nextElement(); Enumeration addresses = netInterface.getInetAddresses(); while (addresses.hasMoreElements()) { ip = (InetAddress) addresses.nextElement(); if (ip != null && ip instanceof Inet4Address) { byte[] ipByte = ip.getAddress(); if (ipByte.length == 4) { if (ipCheck(ipByte)) { if (!isInternalIP(ipByte)) { return ipByte; } else if (internalIP == null) { internalIP = ipByte; } } } } } } if (internalIP != null) { return internalIP; } else { throw new RuntimeException("Can not get local ip"); } } catch (Exception e) { throw new RuntimeException("Can not get local ip", e); } }	long method	Long method 2 Feature envy	t	f	t			0	13230	https://github.com/apache/rocketmq/blob/971fa8ed8b209b39bdfe41c57cd64576d244e6bd/common/src/main/java/org/apache/rocketmq/common/UtilAll.java/#L484-L516	2	2130	13230
1928	YES I found bad smells The bad smells are: 1. Long Method 2. Feature Envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: boolean increaseConnectionWindow(int amount) { List> candidates = null; controllerLock.lock(); try { int size = connectionWindowSize; size += amount; if (size < 0) return false; connectionWindowSize = size; if (debug.on()) debug.log("Connection window size is now %d (amount added %d)", size, amount); // Notify waiting streams, until the new increased window size is // effectively exhausted. Iterator,Integer>>> iter = pending.entrySet().iterator(); while (iter.hasNext() && size > 0) { Map.Entry,Integer>> item = iter.next(); Integer streamSize = streams.get(item.getKey()); if (streamSize == null) { iter.remove(); } else { Map.Entry,Integer> e = item.getValue(); int requestedAmount = e.getValue(); // only wakes up the pending streams for which there is // at least 1 byte of space in both windows int minAmount = 1; if (size >= minAmount && streamSize >= minAmount) { size -= Math.min(streamSize, requestedAmount); iter.remove(); if (candidates == null) candidates = new ArrayList<>(); candidates.add(e.getKey()); } } } } finally { controllerLock.unlock(); } if (candidates != null) { candidates.forEach(Stream::signalWindowUpdate); } return true; }	long method	Long Method2 Feature Envy	t	f	t			0	12445	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.net.http/share/classes/jdk/internal/net/http/WindowController.java/#L181-L226	2	1928	12445
2548	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Nested loops/cyclomatic complexity 4. Inconsistent indentation 5. Complex conditional statements 6. Magic numbers/unnamed variables 7. Unused/unnecessary variables 8. Lack of comments/documentation 9. Use of null values 10. Large class/object 11. Inefficient use of data structures 12. Code duplication 13. Unclear naming conventions for variables/methods 14. Multiple return statements within a method.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: boolean increaseConnectionWindow(int amount) { List> candidates = null; controllerLock.lock(); try { int size = connectionWindowSize; size += amount; if (size < 0) return false; connectionWindowSize = size; if (debug.on()) debug.log("Connection window size is now %d (amount added %d)", size, amount); // Notify waiting streams, until the new increased window size is // effectively exhausted. Iterator,Integer>>> iter = pending.entrySet().iterator(); while (iter.hasNext() && size > 0) { Map.Entry,Integer>> item = iter.next(); Integer streamSize = streams.get(item.getKey()); if (streamSize == null) { iter.remove(); } else { Map.Entry,Integer> e = item.getValue(); int requestedAmount = e.getValue(); // only wakes up the pending streams for which there is // at least 1 byte of space in both windows int minAmount = 1; if (size >= minAmount && streamSize >= minAmount) { size -= Math.min(streamSize, requestedAmount); iter.remove(); if (candidates == null) candidates = new ArrayList<>(); candidates.add(e.getKey()); } } } } finally { controllerLock.unlock(); } if (candidates != null) { candidates.forEach(Stream::signalWindowUpdate); } return true; }	long method	Long method2 Feature envy3 Nested loops/cyclomatic complexity4 Inconsistent indentation5 Complex conditional statements6 Magic numbers/unnamed variables7 Unused/unnecessary variables 8 Lack of comments/documentation 9 Use of null values	t	f	t			0	14793	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.net.http/share/classes/jdk/internal/net/http/WindowController.java/#L181-L226	2	2548	14793
5324	{"output": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public PigServer(PigContext context, boolean connect) throws ExecException { this.pigContext = context; currDAG = new Graph(false); jobName = pigContext.getProperties().getProperty( PigContext.JOB_NAME, PigContext.JOB_NAME_PREFIX + ":DefaultJobName"); if (connect) { pigContext.connect(); } this.filter = new BlackAndWhitelistFilter(this); addHadoopProperties(); addJarsFromProperties(); markPredeployedJarsFromProperties(); if (ScriptState.get() == null) { // If Pig was started via command line, ScriptState should have been // already initialized in Main. If so, we should not overwrite it. ScriptState.start(pigContext.getExecutionEngine().instantiateScriptState()); } PigStats.start(pigContext.getExecutionEngine().instantiatePigStats()); // log ATS event includes the caller context String auditId = PigATSClient.getPigAuditId(pigContext); String callerId = (String)pigContext.getProperties().get(PigConfiguration.PIG_LOG_TRACE_ID); log.info("Pig Script ID for the session: " + auditId); if (callerId != null) { log.info("Caller ID for session: " + callerId); } if (Boolean.parseBoolean(pigContext.getProperties() .getProperty(PigConfiguration.PIG_ATS_ENABLED))) { if (Boolean.parseBoolean(pigContext.getProperties() .getProperty("yarn.timeline-service.enabled", "false"))) { PigATSClient.ATSEvent event = new PigATSClient.ATSEvent(auditId, callerId); try { PigATSClient.getInstance().logEvent(event); } catch (Exception e) { log.warn("Error posting to ATS: ", e); } } else { log.warn("ATS is disabled since" + " yarn.timeline-service.enabled set to false"); } } // set hdfs caller context Class callerContextClass = null; try { callerContextClass = Class.forName("org.apache.hadoop.ipc.CallerContext"); } catch (ClassNotFoundException e) { // If pre-Hadoop 2.8.0, skip setting CallerContext } if (callerContextClass != null) { try { // Reflection for the following code since it is only available since hadoop 2.8.0: // CallerContext hdfsContext = new CallerContext.Builder(auditId).build(); // CallerContext.setCurrent(hdfsContext); Class callerContextBuilderClass = Class.forName("org.apache.hadoop.ipc.CallerContext$Builder"); Constructor callerContextBuilderConstruct = callerContextBuilderClass.getConstructor(String.class); Object builder = callerContextBuilderConstruct.newInstance(auditId); Method builderBuildMethod = builder.getClass().getMethod("build"); Object hdfsContext = builderBuildMethod.invoke(builder); Method callerContextSetCurrentMethod = callerContextClass.getMethod("setCurrent", hdfsContext.getClass()); callerContextSetCurrentMethod.invoke(callerContextClass, hdfsContext); } catch (Exception e) { // Shall not happen unless API change in future Hadoop commons throw new ExecException(e); } } }	long method	1. long method	t	t	t			0	14946	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/PigServer.java/#L223-L296	1	5324	14946
1810	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String shortenDbName(String dbName, int desiredLength) { StringBuilder dbBuf = new StringBuilder(dbName); if (dbBuf.length() > desiredLength) { // remove one vowel at a time, starting at beginning for (int i = dbBuf.length() - 1; i > 0; i--) { // don't remove vowels that are at the beginning of the string (taken care of by the i > 0) or right after an underscore if (dbBuf.charAt(i - 1) == '_') { continue; } char curChar = dbBuf.charAt(i); if (vowelBag.indexOf(curChar) > 0) { dbBuf.deleteCharAt(i); } } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { boolean removedChars = false; int usIndex = dbBuf.lastIndexOf("_"); while (usIndex > 0 && dbBuf.length() > desiredLength) { // if this is the first word in the group, don't pull letters off unless it is 4 letters or more int prevUsIndex = dbBuf.lastIndexOf("_", usIndex - 1); if (prevUsIndex < 0 && usIndex < 4) { break; } // don't remove characters to reduce the size two less than three characters between underscores if (prevUsIndex >= 0 && (usIndex - prevUsIndex) <= 4) { usIndex = prevUsIndex; continue; } // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(usIndex - 2); removedChars = true; if (usIndex > 2) { usIndex = dbBuf.lastIndexOf("_", usIndex - 2); } else { break; } } // now delete the char at the end of the string if necessary if (dbBuf.length() > desiredLength) { int removeIndex = dbBuf.length() - 1; int prevRemoveIndex = dbBuf.lastIndexOf("_", removeIndex - 1); // don't remove characters to reduce the size two less than two characters between underscores if (prevRemoveIndex < 0 || (removeIndex - prevRemoveIndex) >= 3) { // delete the second to last character instead of the last, better chance of being unique dbBuf.deleteCharAt(removeIndex - 1); removedChars = true; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); removedChars = true; } // if we didn't remove anything break out to avoid an infinite loop if (!removedChars) { break; } } // remove all double underscores while (dbBuf.indexOf("__") > 0) { dbBuf.deleteCharAt(dbBuf.indexOf("__")); } while (dbBuf.length() > desiredLength) { // still not short enough, get more aggressive // don't remove the first segment, just remove the second over and over until we are short enough int firstUs = dbBuf.indexOf("_"); if (firstUs > 0) { int nextUs = dbBuf.indexOf("_", firstUs + 1); if (nextUs > 0) { //Debug.logInfo("couldn't shorten enough normally, removing second segment from " + dbBuf, module); dbBuf.delete(firstUs, nextUs); } } } //Debug.logInfo("Shortened " + dbName + " to " + dbBuf.toString(), module); return dbBuf.toString(); }	long method	Long Method	t	f	t			0	12056	https://github.com/apache/ofbiz-framework/blob/b1304439219bb04c396f5d000bec9c5fbb194b59/framework/entity/src/main/java/org/apache/ofbiz/entity/model/ModelUtil.java/#L155-L248	1	1810	12056
423	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected JvmField createField(Field field) { JvmField result; int modifiers = field.getModifiers(); if (!field.isEnumConstant()) { result = TypesFactory.eINSTANCE.createJvmField(); } else result = TypesFactory.eINSTANCE.createJvmEnumerationLiteral(); String fieldName = field.getName(); result.internalSetIdentifier(field.getDeclaringClass().getName() + "." + fieldName); result.setSimpleName(fieldName); result.setFinal(Modifier.isFinal(modifiers)); result.setStatic(Modifier.isStatic(modifiers)); result.setTransient(Modifier.isTransient(modifiers)); result.setVolatile(Modifier.isVolatile(modifiers)); setVisibility(result, modifiers); Type fieldType = null; try { fieldType = field.getGenericType(); } catch (GenericSignatureFormatError error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } catch (MalformedParameterizedTypeException error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } result.setType(createTypeReference(fieldType)); createAnnotationValues(field, result); return result; }	long method	Long method 2 Feature envy	t	f	t			0	4247	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.common.types/src/org/eclipse/xtext/common/types/access/reflect/ReflectionTypeFactory.java/#L618-L646	2	423	4247
1523	YES, I found bad smells. The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: if (hasCommandlineArgs()) { arguments = parseCommandlineArgs(); } try { Iterator iter = this.determineRelevantPluginDependencies().iterator(); while (iter.hasNext()) { Artifact classPathElement = iter.next(); // we must skip org.osgi.core, otherwise we get a // java.lang.NoClassDefFoundError: org.osgi.vendor.framework property not set if (classPathElement.getArtifactId().equals("org.osgi.core")) { if (getLog().isDebugEnabled()) { getLog().debug("Skipping org.osgi.core -> " + classPathElement.getGroupId() + "/" + classPathElement.getArtifactId() + "/" + classPathElement.getVersion()); } continue; } getLog().debug("Adding plugin dependency artifact: " + classPathElement.getArtifactId() + " to classpath"); path.add(classPathElement.getFile().toURI().toURL()); } } catch (MalformedURLException e) { throw new MojoExecutionException("Error during setting up classpath", e); } }	long method	Long method2 Feature envy	t	f	t			0	11179	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/tooling/maven/camel-maven-plugin/src/main/java/org/apache/camel/maven/RunMojo.java/#L734-L761	2	1523	11179
1800	{ "output": "YES I found bad smells", "bad smells are": ["Long Method"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: Type asTuple() { final Type result; if (types.size() == 0) { result = unit.getEmptyType(); } else { final Type sequentialType; if (variadic) { Part part = new Part("Sequence", Collections.singletonList(getLast())); sequentialType = loadType("ceylon.language", atLeastOne ? "ceylon.language.Sequence" : "ceylon.language.Sequential", part, null); } else { sequentialType = unit.getEmptyType(); } if (variadic && types.size() == 1) { result = sequentialType; } else { Part part = new Part(); // if we're variadic we put the element type there because we skip it below // if we're not variadic we are not going to skip it so let's not union it with itself Type union = variadic ? getLast() : null; Type tupleType = sequentialType; // A,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // A=,B= // union = null // tupleType = [] // t = B // union = B // tupleType = [B] // tupleType = [B]|[] // t = A // union = A|B // tupleType = [A,[B]|[]] // tupleType = [A,[B]|[]]|[] // A=,B* // union = B // tupleType = [B*] // t = A // union = A|B // tupleType = [A,[B*]] // tupleType = [A,[B*]]|[] int makeDefaulted = defaulted; for (int ii = types.size()-(variadic? 2 : 1); ii >= 0; ii--) { Type t = types.get(ii); // FIXME: subtyping in the type parser may cause issues if(union != null) // any second element (variadic or not) union = ModelUtil.unionType(union, t, unit); else union = t; // any first element part.parameters = Arrays.asList(union, t, tupleType); part.name = "Tuple"; tupleType = loadType("ceylon.language", "ceylon.language.Tuple", part, null); if(makeDefaulted > 0){ makeDefaulted--; tupleType = union(Arrays.asList(unit.getEmptyType(), tupleType), unit); } } result = tupleType; } } return result; }	long method	Long Method	t	f	t			0	12011	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/model/src/org/eclipse/ceylon/model/loader/TypeParser.java/#L431-L505	1	1800	12011
2135	YES I found bad smells the bad smells are: 1. Long method, 2. Feature envy, 3. Shotgun surgery, 4. Duplicate code	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void afterValue( K key, V value ) throws LdapException, CursorException { checkNotClosed(); /* * There is a subtle difference between after and before handling * with duplicate key values. Say we have the following tuples: * * (0, 0) * (1, 1) * (1, 2) * (1, 3) * (2, 2) * * If we request an after cursor on (1, 2). We must make sure that * the container cursor does not advance after the entry with key 1 * since this would result in us skip returning (1. 3) on the call to * next which will incorrectly return (2, 2) instead. * * So if the value is null in the element then we don't care about * this obviously since we just want to advance past the duplicate key * values all together. But when it is not null, then we want to * go right before this key instead of after it. */ if ( value == null ) { containerCursor.after( new Tuple>( key, null ) ); } else { containerCursor.before( new Tuple>( key, null ) ); } if ( containerCursor.next() ) { containerTuple.setBoth( containerCursor.get() ); DupsContainer values = containerTuple.getValue(); if ( values.isArrayTree() ) { ArrayTree set = values.getArrayTree(); dupsCursor = new ArrayTreeCursor<>( set ); } else { try { BTree tree = table.getBTree( values.getBTreeRedirect() ); dupsCursor = new KeyBTreeCursor<>( tree, table.getValueComparator() ); } catch ( IOException e ) { throw new CursorException( e ); } } if ( value == null ) { return; } // only advance the dupsCursor if we're on same key if ( table.getKeyComparator().compare( containerTuple.getKey(), key ) == 0 ) { dupsCursor.after( value ); } return; } clearValue(); containerTuple.setKey( null ); containerTuple.setValue( null ); }	long method	Long method, 2 Feature envy, 3 Shotgun surgery, 4 Duplicate code	t	f	t	2. Feature envy, 3. Shotgun surgery, 4. Duplicate code		0	13243	https://github.com/apache/directory-server/blob/310007cc1c7eb5415f93bed67d5553bc70980820/jdbm-partition/src/main/java/org/apache/directory/server/core/partition/impl/btree/jdbm/DupsCursor.java/#L174-L247	2	2135	13243
461	{ "response": "YES, I found bad smells", "detected_bad_smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public BytesRef next() { if (input.position() < end) { try { int code = input.readVInt(); boolean newField = (code & 1) != 0; if (newField) { field = input.readString(); } int prefix = code >>> 1; int suffix = input.readVInt(); readTermBytes(prefix, suffix); return bytes; } catch (IOException e) { throw new RuntimeException(e); } } else { field = null; return null; } }	long method	long method	t	t	t			0	4463	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/core/src/java/org/apache/lucene/index/PrefixCodedTerms.java/#L123-L143	1	461	4463
2633	YES I found bad smells the bad smells are: 1.Long method, 2.Large parameter list, 3.Magic numbers, 4.Data class, 5.Switch statement, 6.Duplicate code.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static void writeFinalRule(Writer writer, boolean isDst, AnnualTimeZoneRule rule, int fromRawOffset, int fromDSTSavings, long startTime) throws IOException{ DateTimeRule dtrule = toWallTimeRule(rule.getRule(), fromRawOffset, fromDSTSavings); // If the rule's mills in a day is out of range, adjust start time. // Olson tzdata supports 24:00 of a day, but VTIMEZONE does not. // See ticket#7008/#7518 int timeInDay = dtrule.getRuleMillisInDay(); if (timeInDay < 0) { startTime = startTime + (0 - timeInDay); } else if (timeInDay >= Grego.MILLIS_PER_DAY) { startTime = startTime - (timeInDay - (Grego.MILLIS_PER_DAY - 1)); } int toOffset = rule.getRawOffset() + rule.getDSTSavings(); switch (dtrule.getDateRuleType()) { case DateTimeRule.DOM: writeZonePropsByDOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), startTime, MAX_TIME); break; case DateTimeRule.DOW: writeZonePropsByDOW(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleWeekInMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_GEQ_DOM: writeZonePropsByDOW_GEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; case DateTimeRule.DOW_LEQ_DOM: writeZonePropsByDOW_LEQ_DOM(writer, isDst, rule.getName(), fromRawOffset + fromDSTSavings, toOffset, dtrule.getRuleMonth(), dtrule.getRuleDayOfMonth(), dtrule.getRuleDayOfWeek(), startTime, MAX_TIME); break; } }	long method	Long method, 2Large parameter list, 3Magic numbers, 4Data class, 5Switch statement, 6Duplicate code	t	f	t	2.Large parameter list, 3.Magic numbers, 4.Data class, 5.Switch statement, 6.Duplicate code.		0	15109	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/jre_emul/android/platform/external/icu/android_icu4j/src/main/java/android/icu/util/VTimeZone.java/#L1661-L1695	2	2633	15109
880	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static void weaveDir(File dir, String consumerHeaderKey, String consumerHeaderValue, String bundleClassPath) throws Exception { Set wd = ConsumerHeaderProcessor.processHeader(consumerHeaderKey, consumerHeaderValue); URLClassLoader cl = new URLClassLoader(new URL [] {dir.toURI().toURL()}, Main.class.getClassLoader()); String dirName = dir.getAbsolutePath(); DirTree dt = new DirTree(dir); for (File f : dt.getFiles()) { if (!f.getName().endsWith(".class")) continue; String className = f.getAbsolutePath().substring(dirName.length()); if (className.startsWith(File.separator)) className = className.substring(1); className = className.substring(0, className.length() - ".class".length()); className = className.replace(File.separator, "."); InputStream is = new FileInputStream(f); byte[] b; try { ClassReader cr = new ClassReader(is); ClassWriter cw = new StaticToolClassWriter(ClassWriter.COMPUTE_MAXS | ClassWriter.COMPUTE_FRAMES, cl); TCCLSetterVisitor cv = new TCCLSetterVisitor(cw, className, wd); cr.accept(cv, ClassReader.SKIP_FRAMES); if (cv.isWoven()) { b = cw.toByteArray(); } else { // if not woven, store the original bytes b = Streams.suck(new FileInputStream(f)); } } finally { is.close(); } OutputStream os = new FileOutputStream(f); try { os.write(b); } finally { os.close(); } } if (bundleClassPath != null) { for (String entry : bundleClassPath.split(",")) { File jarFile = new File(dir, entry.trim()); if (jarFile.isFile()) { weaveBCPJar(jarFile, consumerHeaderKey, consumerHeaderValue); } } } }	long method	long method, blob	t	t	t	blob		0	8016	https://github.com/apache/aries/blob/52293d20268de7c98833846ded2b70d6476773de/spi-fly/spi-fly-static-tool/src/main/java/org/apache/aries/spifly/statictool/Main.java/#L173-L223	1	880	8016
199	{ "output": "YES I found bad smells", "the bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean r_prelude() { int among_var; int v_1; int v_2; int v_3; int v_4; int v_5; // (, line 34 // test, line 35 v_1 = cursor; // repeat, line 35 replab0: while(true) { v_2 = cursor; lab1: do { // (, line 35 // [, line 36 bra = cursor; // substring, line 36 among_var = find_among(a_0, 7); if (among_var == 0) { break lab1; } // ], line 36 ket = cursor; switch(among_var) { case 0: break lab1; case 1: // (, line 37 // <-, line 37 slice_from("\u00E0"); break; case 2: // (, line 38 // <-, line 38 slice_from("\u00E8"); break; case 3: // (, line 39 // <-, line 39 slice_from("\u00EC"); break; case 4: // (, line 40 // <-, line 40 slice_from("\u00F2"); break; case 5: // (, line 41 // <-, line 41 slice_from("\u00F9"); break; case 6: // (, line 42 // <-, line 42 slice_from("qU"); break; case 7: // (, line 43 // next, line 43 if (cursor >= limit) { break lab1; } cursor++; break; } continue replab0; } while (false); cursor = v_2; break replab0; } cursor = v_1; // repeat, line 46 replab2: while(true) { v_3 = cursor; lab3: do { // goto, line 46 golab4: while(true) { v_4 = cursor; lab5: do { // (, line 46 if (!(in_grouping(g_v, 97, 249))) { break lab5; } // [, line 47 bra = cursor; // or, line 47 lab6: do { v_5 = cursor; lab7: do { // (, line 47 // literal, line 47 if (!(eq_s(1, "u"))) { break lab7; } // ], line 47 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab7; } // <-, line 47 slice_from("U"); break lab6; } while (false); cursor = v_5; // (, line 48 // literal, line 48 if (!(eq_s(1, "i"))) { break lab5; } // ], line 48 ket = cursor; if (!(in_grouping(g_v, 97, 249))) { break lab5; } // <-, line 48 slice_from("I"); } while (false); cursor = v_4; break golab4; } while (false); cursor = v_4; if (cursor >= limit) { break lab3; } cursor++; } continue replab2; } while (false); cursor = v_3; break replab2; } return true; }	long method	long method	t	t	t			0	2241	https://github.com/apache/lucene-solr/blob/bca22d58e2d126ec6d349d375d3ea028892104e1/lucene/analysis/common/src/java/org/tartarus/snowball/ext/ItalianStemmer.java/#L257-L401	1	199	2241
2070	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void Blit(SurfaceData src, SurfaceData dst, Composite comp, Region clip, int srcx, int srcy, int dstx, int dsty, int w, int h) { Raster srcRast = src.getRaster(srcx, srcy, w, h); IntegerComponentRaster icr = (IntegerComponentRaster) srcRast; int[] srcPix = icr.getDataStorage(); WritableRaster dstRast = (WritableRaster) dst.getRaster(dstx, dsty, w, h); ColorModel dstCM = dst.getColorModel(); Region roi = CustomComponent.getRegionOfInterest(src, dst, clip, srcx, srcy, dstx, dsty, w, h); SpanIterator si = roi.getSpanIterator(); Object dstPix = null; int srcScan = icr.getScanlineStride(); // assert(icr.getPixelStride() == 1); srcx -= dstx; srcy -= dsty; int[] span = new int[4]; while (si.nextSpan(span)) { int rowoff = (icr.getDataOffset(0) + (srcy + span[1]) * srcScan + (srcx + span[0])); for (int y = span[1]; y < span[3]; y++) { int off = rowoff; for (int x = span[0]; x < span[2]; x++) { dstPix = dstCM.getDataElements(srcPix[off++], dstPix); dstRast.setDataElements(x, y, dstPix); } rowoff += srcScan; } } // REMIND: We need to do something to make sure that dstRast // is put back to the destination (as in the native Release // function) // src.releaseRaster(srcRast); // NOP? // dst.releaseRaster(dstRast); }	long method	Long method2 Feature envy	t	f	t			0	13017	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/java.desktop/share/classes/sun/java2d/loops/CustomComponent.java/#L171-L213	2	2070	13017
1763	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code (in the for loop) 4. Confusing logic/naming (headerValue vs hdr) 5. Magic numbers (CONFIG_PREFIX_OPTIONAL + ".") 6. Nested loops 7. Use of isEmpty() instead of checking for size() == 0 8. Code comments indicating potential issues or bad practices 9. Poor exception handling (consistently throwing the same exception) 10. Possible violation of Single Responsibility Principle (SRP), as the method is responsible for multiple tasks.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void configure(Context context) { this.headerName = context.getString(CONFIG_MULTIPLEX_HEADER_NAME, DEFAULT_MULTIPLEX_HEADER); Map channelNameMap = getChannelNameMap(); defaultChannels = getChannelListFromNames( context.getString(CONFIG_DEFAULT_CHANNEL), channelNameMap); Map mapConfig = context.getSubProperties(CONFIG_PREFIX_MAPPING); channelMapping = new HashMap>(); for (String headerValue : mapConfig.keySet()) { List configuredChannels = getChannelListFromNames( mapConfig.get(headerValue), channelNameMap); //This should not go to default channel(s) //because this seems to be a bad way to configure. if (configuredChannels.size() == 0) { throw new FlumeException("No channel configured for when " + "header value is: " + headerValue); } if (channelMapping.put(headerValue, configuredChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } //If no mapping is configured, it is ok. //All events will go to the default channel(s). Map optionalChannelsMapping = context.getSubProperties(CONFIG_PREFIX_OPTIONAL + "."); optionalChannels = new HashMap>(); for (String hdr : optionalChannelsMapping.keySet()) { List confChannels = getChannelListFromNames( optionalChannelsMapping.get(hdr), channelNameMap); if (confChannels.isEmpty()) { confChannels = EMPTY_LIST; } //Remove channels from optional channels, which are already //configured to be required channels. List reqdChannels = channelMapping.get(hdr); //Check if there are required channels, else defaults to default channels if (reqdChannels == null || reqdChannels.isEmpty()) { reqdChannels = defaultChannels; } for (Channel c : reqdChannels) { if (confChannels.contains(c)) { confChannels.remove(c); } } if (optionalChannels.put(hdr, confChannels) != null) { throw new FlumeException("Selector channel configured twice"); } } }	long method	Long method2 Feature envy3 Duplicate code (in the for loop)4 Confusing logic/naming (headerValue vs hdr)5 Magic numbers (CONFIG_PREFIX_OPTIONAL + "")6 Nested loops7 Use of isEmpty() instead of checking for size() == 08 Code comments indicating potential issues or bad practices9 Poor exception handling (consistently throwing the same exception)	t	f	t			0	11896	https://github.com/apache/flume/blob/7d3396f26dc1541e9d2a540d50d15a15c38acb74/flume-ng-core/src/main/java/org/apache/flume/channel/MultiplexingChannelSelector.java/#L83-L145	2	1763	11896
1590	{ "output": "YES I found bad smells", "detected_bad_smells": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Provider createProvider(URI remoteURI, ProviderFutureFactory futureFactory) throws Exception { CompositeData composite = URISupport.parseComposite(remoteURI); Map options = composite.getParameters(); Map filtered = PropertyUtil.filterProperties(options, FAILOVER_OPTION_PREFIX); Map nested = PropertyUtil.filterProperties(filtered, FAILOVER_NESTED_OPTION_PREFIX_ADDON); Map providerOptions = PropertyUtil.filterProperties(options, "provider."); // If we have been given a futures factory to use then we ignore any URI options indicating // what to create and just go with what we are given. if (futureFactory == null) { // Create a configured ProviderFutureFactory for use by the resulting AmqpProvider futureFactory = ProviderFutureFactory.create(providerOptions); if (!providerOptions.isEmpty()) { String msg = "" + " Not all Provider options could be applied during Failover Provider creation." + " Check the options are spelled correctly." + " Unused parameters=[" + providerOptions + "]." + " This provider instance cannot be started."; throw new IllegalArgumentException(msg); } } FailoverProvider provider = new FailoverProvider(composite.getComponents(), nested, futureFactory); Map unused = PropertyUtil.setProperties(provider, filtered); if (!unused.isEmpty()) { String msg = "" + " Not all options could be set on the Failover provider." + " Check the options are spelled correctly." + " Unused parameters=[" + unused + "]." + " This Provider cannot be started."; throw new IllegalArgumentException(msg); } return provider; }	long method	1 Long Method	t	f	t			0	11387	https://github.com/apache/qpid-jms/blob/59f62b111687072fad3302fb4c6f91a389b4c0e6/qpid-jms-client/src/main/java/org/apache/qpid/jms/provider/failover/FailoverProviderFactory.java/#L49-L85	1	1590	11387
1486	{ "message": "YES I found bad smells", "bad smells are": ["Long Method", "Feature Envy"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void getSuggestions(final String query) { if (query == null || query.isEmpty()) { return; } // Initialize the locatorSugestion parameters locatorParams(SUGGEST_PLACE); // Attach a listener to the locator task since // the LocatorTask may or may not be loaded the // the very first time a user types text into the search box. // If the Locator is already loaded, the following listener // is invoked immediately. mLocator.addDoneLoadingListener(new Runnable() { @Override public void run() { // Does this locator support suggestions? if (mLocator.getLoadStatus().name() != LoadStatus.LOADED.name()){ //Log.i(TAG,"##### " + mLocator.getLoadStatus().name()); } else if (!mLocator.getLocatorInfo().isSupportsSuggestions()){ return; } //og.i(TAG,"****** " + mLocator.getLoadStatus().name()); final ListenableFuture> suggestionsFuture = mLocator.suggestAsync(query, suggestParams); // Attach a done listener that executes upon completion of the async call suggestionsFuture.addDoneListener(new Runnable() { @Override public void run() { try { // Get the suggestions returned from the locator task. // Store retrieved suggestions for future use (e.g. if the user // selects a retrieved suggestion, it can easily be // geocoded). mSuggestionsList = suggestionsFuture.get(); showSuggestedPlaceNames(mSuggestionsList); } catch (Exception e) { Log.e(TAG, "Error on getting suggestions " + e.getMessage()); } } }); } }); // Initiate the asynchronous call mLocator.loadAsync(); }	long method	long method, feature envy	t	t	t	feature envy		0	11092	https://github.com/Esri/maps-app-android/blob/1af1f74ece08f678ce7de7bf173034d30e1cb100/maps-app/src/main/java/com/esri/android/mapsapp/MapFragment.java/#L735-L781	1	1486	11092
2198	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Nested loops 4. Lack of proper error handling 5. Excessive amount of parameters 6. Excessive commenting 7. Lack of proper abstraction 8. Use of primitive types instead of objects 9. Inconsistent naming conventions 10. Excessive code duplication or repetition	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public Iterator getRows(Session ses, SearchRow first, SearchRow last) { List rows = new ArrayList<>(); Collection nodes; SqlSystemViewColumnCondition idCond = conditionForColumn("NODE_ID", first, last); if (idCond.isEquality()) { try { UUID nodeId = uuidFromValue(idCond.valueForEquality()); ClusterNode node = nodeId == null ? null : ctx.discovery().node(nodeId); if (node != null) nodes = Collections.singleton(node); else nodes = Collections.emptySet(); } catch (Exception e) { nodes = Collections.emptySet(); } } else nodes = F.concat(false, ctx.discovery().allNodes(), ctx.discovery().daemonNodes()); for (ClusterNode node : nodes) { if (node != null) { ClusterMetrics metrics = node.metrics(); rows.add( createRow( ses, node.id(), valueTimestampFromMillis(metrics.getLastUpdateTime()), metrics.getMaximumActiveJobs(), metrics.getCurrentActiveJobs(), metrics.getAverageActiveJobs(), metrics.getMaximumWaitingJobs(), metrics.getCurrentWaitingJobs(), metrics.getAverageWaitingJobs(), metrics.getMaximumRejectedJobs(), metrics.getCurrentRejectedJobs(), metrics.getAverageRejectedJobs(), metrics.getTotalRejectedJobs(), metrics.getMaximumCancelledJobs(), metrics.getCurrentCancelledJobs(), metrics.getAverageCancelledJobs(), metrics.getTotalCancelledJobs(), metrics.getMaximumJobWaitTime(), metrics.getCurrentJobWaitTime(), (long)metrics.getAverageJobWaitTime(), metrics.getMaximumJobExecuteTime(), metrics.getCurrentJobExecuteTime(), (long)metrics.getAverageJobExecuteTime(), metrics.getTotalJobsExecutionTime(), metrics.getTotalExecutedJobs(), metrics.getTotalExecutedTasks(), metrics.getTotalBusyTime(), metrics.getTotalIdleTime(), metrics.getCurrentIdleTime(), metrics.getBusyTimePercentage(), metrics.getIdleTimePercentage(), metrics.getTotalCpus(), metrics.getCurrentCpuLoad(), metrics.getAverageCpuLoad(), metrics.getCurrentGcCpuLoad(), metrics.getHeapMemoryInitialized(), metrics.getHeapMemoryUsed(), metrics.getHeapMemoryCommitted(), metrics.getHeapMemoryMaximum(), metrics.getHeapMemoryTotal(), metrics.getNonHeapMemoryInitialized(), metrics.getNonHeapMemoryUsed(), metrics.getNonHeapMemoryCommitted(), metrics.getNonHeapMemoryMaximum(), metrics.getNonHeapMemoryTotal(), metrics.getUpTime(), valueTimestampFromMillis(metrics.getStartTime()), valueTimestampFromMillis(metrics.getNodeStartTime()), metrics.getLastDataVersion(), metrics.getCurrentThreadCount(), metrics.getMaximumThreadCount(), metrics.getTotalStartedThreadCount(), metrics.getCurrentDaemonThreadCount(), metrics.getSentMessagesCount(), metrics.getSentBytesCount(), metrics.getReceivedMessagesCount(), metrics.getReceivedBytesCount(), metrics.getOutboundMessagesQueueSize() ) ); } } return rows.iterator(); }	long method	Long method 2 Feature envy 3 Nested loops 4 Lack of proper error handling 5 Excessive amount of parameters 6 Excessive commenting 7 Lack of proper abstraction 8 Use of primitive types instead of objects 9 Inconsistent naming conventions	t	f	t			0	13492	https://github.com/apache/ignite/blob/7a7c407ea41477aae8508bfe871b4e9a67e1b277/modules/indexing/src/main/java/org/apache/ignite/internal/processors/query/h2/sys/view/SqlSystemViewNodeMetrics.java/#L105-L200	2	2198	13492
1437	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.lang.String toString() { java.lang.StringBuilder sb = new java.lang.StringBuilder("SupervisorInfo("); boolean first = true; sb.append("time_secs:"); sb.append(this.time_secs); first = false; if (!first) sb.append(", "); sb.append("hostname:"); if (this.hostname == null) { sb.append("null"); } else { sb.append(this.hostname); } first = false; if (is_set_assignment_id()) { if (!first) sb.append(", "); sb.append("assignment_id:"); if (this.assignment_id == null) { sb.append("null"); } else { sb.append(this.assignment_id); } first = false; } if (is_set_used_ports()) { if (!first) sb.append(", "); sb.append("used_ports:"); if (this.used_ports == null) { sb.append("null"); } else { sb.append(this.used_ports); } first = false; } if (is_set_meta()) { if (!first) sb.append(", "); sb.append("meta:"); if (this.meta == null) { sb.append("null"); } else { sb.append(this.meta); } first = false; } if (is_set_scheduler_meta()) { if (!first) sb.append(", "); sb.append("scheduler_meta:"); if (this.scheduler_meta == null) { sb.append("null"); } else { sb.append(this.scheduler_meta); } first = false; } if (is_set_uptime_secs()) { if (!first) sb.append(", "); sb.append("uptime_secs:"); sb.append(this.uptime_secs); first = false; } if (is_set_version()) { if (!first) sb.append(", "); sb.append("version:"); if (this.version == null) { sb.append("null"); } else { sb.append(this.version); } first = false; } if (is_set_resources_map()) { if (!first) sb.append(", "); sb.append("resources_map:"); if (this.resources_map == null) { sb.append("null"); } else { sb.append(this.resources_map); } first = false; } if (is_set_server_port()) { if (!first) sb.append(", "); sb.append("server_port:"); sb.append(this.server_port); first = false; } sb.append(")"); return sb.toString(); }	long method	long method, data class	t	t	t	data class		0	10965	https://github.com/apache/storm/blob/dc56e32f3dcdd9396a827a85029d60ed97474786/storm-client/src/jvm/org/apache/storm/generated/SupervisorInfo.java/#L969-L1059	1	1437	10965
882	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void afterValue( K key, V value ) throws LdapException, CursorException { checkNotClosed(); /* * There is a subtle difference between after and before handling * with duplicate key values. Say we have the following tuples: * * (0, 0) * (1, 1) * (1, 2) * (1, 3) * (2, 2) * * If we request an after cursor on (1, 2). We must make sure that * the container cursor does not advance after the entry with key 1 * since this would result in us skip returning (1. 3) on the call to * next which will incorrectly return (2, 2) instead. * * So if the value is null in the element then we don't care about * this obviously since we just want to advance past the duplicate key * values all together. But when it is not null, then we want to * go right before this key instead of after it. */ if ( value == null ) { containerCursor.after( new Tuple>( key, null ) ); } else { containerCursor.before( new Tuple>( key, null ) ); } if ( containerCursor.next() ) { containerTuple.setBoth( containerCursor.get() ); DupsContainer values = containerTuple.getValue(); if ( values.isArrayTree() ) { ArrayTree set = values.getArrayTree(); dupsCursor = new ArrayTreeCursor<>( set ); } else { try { BTree tree = table.getBTree( values.getBTreeRedirect() ); dupsCursor = new KeyBTreeCursor<>( tree, table.getValueComparator() ); } catch ( IOException e ) { throw new CursorException( e ); } } if ( value == null ) { return; } // only advance the dupsCursor if we're on same key if ( table.getKeyComparator().compare( containerTuple.getKey(), key ) == 0 ) { dupsCursor.after( value ); } return; } clearValue(); containerTuple.setKey( null ); containerTuple.setValue( null ); }	long method	long method	t	t	t			0	8025	https://github.com/apache/directory-server/blob/310007cc1c7eb5415f93bed67d5553bc70980820/jdbm-partition/src/main/java/org/apache/directory/server/core/partition/impl/btree/jdbm/DupsCursor.java/#L174-L247	1	882	8025
1732	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Data class 4. Primitive obsession 5. Duplicate code 6. Magic numbers (e.g. 32) 7. Poor naming (e.g. variables like "ent" and "iter") 8. Indicators of complex or confusing logic (e.g. multiple if statements checking for different conditions) 9. Comments left in the code (e.g. promise to remove println) 10. Use of non-descriptive or ambiguous variable names (e.g. "dst" or "src") 11. Lack of proper exception handling (e.g. if (ent.getType() == LogEntry.Type.TXN) throws an unchecked exception).	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public JsonGenerator(LogIterator iter) { servers = new HashSet(); Pattern stateChangeP = Pattern.compile("- (LOOKING|FOLLOWING|LEADING)"); Pattern newElectionP = Pattern.compile("New election. My id = (\\d+), Proposed zxid = (\\d+)"); Pattern receivedProposalP = Pattern.compile("Notification: (\\d+) \\(n.leader\\), (\\d+) \\(n.zxid\\), (\\d+) \\(n.round\\), .+ \\(n.state\\), (\\d+) \\(n.sid\\), .+ \\(my state\\)"); Pattern exceptionP = Pattern.compile("xception"); root = new JSONObject(); Matcher m = null; JSONArray events = new JSONArray(); root.put("events", events); long starttime = Long.MAX_VALUE; long endtime = 0; int leader = 0; long curEpoch = 0; boolean newEpoch = false; while (iter.hasNext()) { LogEntry ent = iter.next(); if (ent.getTimestamp() < starttime) { starttime = ent.getTimestamp(); } if (ent.getTimestamp() > endtime) { endtime = ent.getTimestamp(); } if (ent.getType() == LogEntry.Type.TXN) { events.add(txnEntry((TransactionEntry)ent)); } else { Log4JEntry e = (Log4JEntry)ent; servers.add(e.getNode()); if ((m = stateChangeP.matcher(e.getEntry())).find()) { JSONObject stateChange = new JSONObject(); stateChange.put("type", "stateChange"); stateChange.put("time", e.getTimestamp()); stateChange.put("server", e.getNode()); stateChange.put("state", m.group(1)); events.add(stateChange); if (m.group(1).equals("LEADING")) { leader = e.getNode(); } } else if ((m = newElectionP.matcher(e.getEntry())).find()) { Iterator iterator = servers.iterator(); long zxid = Long.valueOf(m.group(2)); int count = (int)zxid;// & 0xFFFFFFFFL; int epoch = (int)Long.rotateRight(zxid, 32);// >> 32; if (leader != 0 && epoch > curEpoch) { JSONObject stateChange = new JSONObject(); stateChange.put("type", "stateChange"); stateChange.put("time", e.getTimestamp()); stateChange.put("server", leader); stateChange.put("state", "INIT"); events.add(stateChange); leader = 0; } while (iterator.hasNext()) { int dst = iterator.next(); if (dst != e.getNode()) { JSONObject msg = new JSONObject(); msg.put("type", "postmessage"); msg.put("src", e.getNode()); msg.put("dst", dst); msg.put("time", e.getTimestamp()); msg.put("zxid", m.group(2)); msg.put("count", count); msg.put("epoch", epoch); events.add(msg); } } } else if ((m = receivedProposalP.matcher(e.getEntry())).find()) { // Pattern.compile("Notification: \\d+, (\\d+), (\\d+), \\d+, [^,]*, [^,]*, (\\d+)");//, LOOKING, LOOKING, 2 int src = Integer.valueOf(m.group(4)); long zxid = Long.valueOf(m.group(2)); int dst = e.getNode(); long epoch2 = Long.valueOf(m.group(3)); int count = (int)zxid;// & 0xFFFFFFFFL; int epoch = (int)Long.rotateRight(zxid, 32);// >> 32; if (leader != 0 && epoch > curEpoch) { JSONObject stateChange = new JSONObject(); stateChange.put("type", "stateChange"); stateChange.put("time", e.getTimestamp()); stateChange.put("server", leader); stateChange.put("state", "INIT"); events.add(stateChange); leader = 0; } if (src != dst) { JSONObject msg = new JSONObject(); msg.put("type", "delivermessage"); msg.put("src", src); msg.put("dst", dst); msg.put("time", e.getTimestamp()); msg.put("zxid", zxid); msg.put("epoch", epoch); msg.put("count", count); msg.put("epoch2", epoch2); events.add(msg); } } else if ((m = exceptionP.matcher(e.getEntry())).find()) { JSONObject ex = new JSONObject(); ex.put("type", "exception"); ex.put("server", e.getNode()); ex.put("time", e.getTimestamp()); ex.put("text", e.getEntry()); events.add(ex); } } JSONObject ex = new JSONObject(); ex.put("type", "text"); ex.put("time", ent.getTimestamp()); String txt = ent.toString(); ex.put("text", txt); events.add(ex); } // System.out.println("pending messages: "+pendingMessages.size()); root.put("starttime", starttime); root.put("endtime", endtime); JSONArray serversarray = new JSONArray(); root.put("servers", serversarray); Iterator iterator = servers.iterator(); while (iterator.hasNext()) { serversarray.add(iterator.next()); } }	long method	Long method2 Feature envy 3 Data class4 Primitive obsession5 Duplicate code6 Magic numbers (eg 32)7 Poor naming (eg variables like "ent" and "iter")8 Indicators of complex or confusing logic (eg multiple if statements checking for different conditions)9 Comments left in the code (eg promise to remove println)	t	f	t			0	11821	https://github.com/apache/zookeeper/blob/07c3aaf3d723fb3144c0aedc0c2b655325df70e9/zookeeper-contrib/zookeeper-contrib-loggraph/src/main/java/org/apache/zookeeper/graph/JsonGenerator.java/#L75-L213	2	1732	11821
1441	YES I found bad smells the bad smells are: 1) Long method 2) Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: BundleArchiveRevision(String location, File revisionDir, File file) throws IOException{ this.revisionDir = revisionDir; this.location = location; if (!this.revisionDir.exists()) { this.revisionDir.mkdirs(); } if(revisionDir.getAbsolutePath().startsWith(RuntimeVariables.androidApplication.getFilesDir().getAbsolutePath())){ externalStorage = false; }else{ externalStorage = true; } if(shouldCopyInstallFile(file)){ if (isSameDriver(revisionDir, file)) { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); boolean result = file.renameTo(bundleFile); if(!result){ ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } } else { this.revisionLocation = FILE_PROTOCOL; this.bundleFile = new File(revisionDir, BUNDLE_FILE_NAME); ApkUtils.copyInputStreamToFile(new FileInputStream(file), bundleFile); } installSoLib(bundleFile); }else{ this.revisionLocation = REFERENCE_PROTOCOL + file.getAbsolutePath(); this.bundleFile = file; installSoLib(file); } updateMetadata(); }	long method	) Long method2) Feature envy	t	f	t			0	10974	https://github.com/alibaba/atlas/blob/e8c7b3f1ff14b2a1df64321c6992b796cae7d732/atlas-core/src/main/java/android/taobao/atlas/framework/bundlestorage/BundleArchiveRevision.java/#L301-L332	2	1441	10974
1142	YES I found bad smells * 1. Long method * 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override ValueNode preprocess(int numTables, FromList outerFromList, SubqueryList outerSubqueryList, PredicateList outerPredicateList) throws StandardException { /* Only preprocess this node once. We may get called multiple times * due to tree transformations. */ if (preprocessed) { return this; } preprocessed = true; boolean flattenable; ValueNode topNode = this; final boolean haveOrderBy; // need to remember for flattening decision // Push the order by list down to the ResultSet if (orderByList != null) { haveOrderBy = true; // If we have more than 1 ORDERBY columns, we may be able to // remove duplicate columns, e.g., "ORDER BY 1, 1, 2". if (orderByList.size() > 1) { orderByList.removeDupColumns(); } resultSet.pushOrderByList(orderByList); orderByList = null; } else { haveOrderBy = false; } resultSet = resultSet.preprocess(numTables, null, (FromList) null); if (leftOperand != null) { leftOperand = leftOperand.preprocess(numTables, outerFromList, outerSubqueryList, outerPredicateList); } // Eliminate any unnecessary DISTINCTs if (resultSet instanceof SelectNode) { if (((SelectNode) resultSet).hasDistinct()) { ((SelectNode) resultSet).clearDistinct(); /* We need to remember to check for single unique value * at execution time for expression subqueries. */ if (subqueryType == EXPRESSION_SUBQUERY) { distinctExpression = true; } } } /* Lame transformation - For IN/ANY subqueries, if * result set is guaranteed to return at most 1 row * and it is not correlated * then convert the subquery into the matching expression * subquery type. For example: * c1 in (select min(c1) from t2) * becomes: * c1 = (select min(c1) from t2) * (This actually showed up in an app that a potential customer * was porting from SQL Server.) * The transformed query can then be flattened if appropriate. */ if ((isIN() || isANY()) && resultSet.returnsAtMostOneRow()) { if (! hasCorrelatedCRs()) { changeToCorrespondingExpressionType(); } } /* NOTE: Flattening occurs before the pushing of * the predicate, since the pushing will add a node * above the SubqueryNode. */ /* Values subquery is flattenable if: * o It is not under an OR. * o It is not a subquery in a having clause (DERBY-3257) * o It is an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ flattenable = (resultSet instanceof RowResultSetNode) && underTopAndNode && !havingSubquery && !haveOrderBy && offset == null && fetchFirst == null && !isWhereExistsAnyInWithWhereSubquery() && parentComparisonOperator != null; if (flattenable) { /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ leftOperand = parentComparisonOperator.getLeftOperand(); // Flatten the subquery RowResultSetNode rrsn = (RowResultSetNode) resultSet; FromList fl = new FromList(getContextManager()); // Remove ourselves from the outer subquery list outerSubqueryList.removeElement(this); /* We only need to add the table from the subquery into * the outer from list if the subquery itself contains * another subquery. Otherwise, it just becomes a constant. */ if (rrsn.subquerys.size() != 0) { fl.addElement(rrsn); outerFromList.destructiveAppend(fl); } /* Append the subquery's subquery list to the * outer subquery list. */ outerSubqueryList.destructiveAppend(rrsn.subquerys); /* return the new join condition * If we are flattening an EXISTS then there is no new join * condition since there is no leftOperand. Simply return * TRUE. * * NOTE: The outer where clause, etc. has already been normalized, * so we simply return the BinaryComparisonOperatorNode above * the new join condition. */ return getNewJoinCondition(leftOperand, getRightOperand()); } /* Select subquery is flattenable if: * o It is not under an OR. * o The subquery type is IN, ANY or EXISTS or * an expression subquery on the right side * of a BinaryComparisonOperatorNode. * o There are no aggregates in the select list * o There is no group by clause or having clause. * o There is a uniqueness condition that ensures * that the flattening of the subquery will not * introduce duplicates into the result set. * o The subquery is not part of a having clause (DERBY-3257) * o There are no windows defined on it * * OR, * o The subquery is NOT EXISTS, NOT IN, ALL (beetle 5173). * o Either a) it does not appear within a WHERE clause, or * b) it appears within a WHERE clause but does not itself * contain a WHERE clause with other subqueries in it. * (DERBY-3301) */ boolean flattenableNotExists = (isNOT_EXISTS() || canAllBeFlattened()); flattenable = (resultSet instanceof SelectNode) && !((SelectNode)resultSet).hasWindows() && !haveOrderBy && offset == null && fetchFirst == null && underTopAndNode && !havingSubquery && !isWhereExistsAnyInWithWhereSubquery() && (isIN() || isANY() || isEXISTS() || flattenableNotExists || parentComparisonOperator != null); if (flattenable) { SelectNode select = (SelectNode) resultSet; if ((!select.hasAggregatesInSelectList()) && (select.havingClause == null)) { ValueNode origLeftOperand = leftOperand; /* Check for uniqueness condition. */ /* Is the column being returned by the subquery * a candidate for an = condition? */ boolean additionalEQ = (subqueryType == IN_SUBQUERY) || (subqueryType == EQ_ANY_SUBQUERY); additionalEQ = additionalEQ && ((leftOperand instanceof ConstantNode) || (leftOperand instanceof ColumnReference) || (leftOperand.requiresTypeFromContext())); /* If we got this far and we are an expression subquery * then we want to set leftOperand to be the left side * of the comparison in case we pull the comparison into * the flattened subquery. */ if (parentComparisonOperator != null) { leftOperand = parentComparisonOperator.getLeftOperand(); } /* Never flatten to normal join for NOT EXISTS. */ if ((! flattenableNotExists) && select.uniqueSubquery(additionalEQ)) { // Flatten the subquery return flattenToNormalJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList); } /* We can flatten into an EXISTS join if all of the above * conditions except for a uniqueness condition are true * and: * o Subquery only has a single entry in its from list * and that entry is a FromBaseTable * o All predicates in the subquery's where clause are * pushable. * o The leftOperand, if non-null, is pushable. * If the subquery meets these conditions then we will flatten * the FBT into an EXISTS FBT, pushd the subquery's * predicates down to the PRN above the EBT and * mark the predicates to say that they cannot be pulled * above the PRN. (The only way that we can guarantee correctness * is if the predicates do not get pulled up. If they get pulled * up then the single next logic for an EXISTS join does not work * because that row may get disqualified at a higher level.) * DERBY-4001: Extra conditions to allow flattening to a NOT * EXISTS join (in a NOT EXISTS join it does matter on which * side of the join predicates/restrictions are applied): * o All the predicates must reference the FBT, otherwise * predicates meant for the right side of the join may be * applied to the left side of the join. * o The right operand (in ALL and NOT IN) must reference the * FBT, otherwise the generated join condition may be used * to restrict the left side of the join. */ else if ( (isIN() || isANY() || isEXISTS() || flattenableNotExists) && ((leftOperand == null) ? true : leftOperand.categorize(new JBitSet(numTables), false)) && select.getWherePredicates().allPushable()) { FromBaseTable fbt = singleFromBaseTable(select.getFromList()); if (fbt != null && (!flattenableNotExists || (select.getWherePredicates().allReference(fbt) && rightOperandFlattenableToNotExists(numTables, fbt)))) { return flattenToExistsJoin(numTables, outerFromList, outerSubqueryList, outerPredicateList, flattenableNotExists); } } // restore leftOperand to its original value leftOperand = origLeftOperand; } } resultSet.pushQueryExpressionSuffix(); resultSet.pushOffsetFetchFirst( offset, fetchFirst, hasJDBClimitClause ); /* We transform the leftOperand and the select list for quantified * predicates that have a leftOperand into a new predicate and push it * down to the subquery after we preprocess the subquery's resultSet. * We must do this after preprocessing the underlying subquery so that * we know where to attach the new predicate. * NOTE - If we pushed the predicate before preprocessing the underlying * subquery, then the point of attachment would depend on the form of * that subquery. (Where clause? Having clause?) */ if (leftOperand != null) { topNode = pushNewPredicate(numTables); pushedNewPredicate = true; } /* EXISTS and NOT EXISTS subqueries that haven't been flattened, need * an IS [NOT] NULL node on top so that they return a BOOLEAN. Other * cases are taken care of in pushNewPredicate. */ else if (isEXISTS() || isNOT_EXISTS()) { topNode = genIsNullTree(isEXISTS()); subqueryType = EXISTS_SUBQUERY; } /* ** Do inVariant and correlated checks now. We ** aren't going to use the results here, but they ** have been stashed away by isInvariant() and hasCorrelatedCRs() */ isInvariant(); hasCorrelatedCRs(); /* If parentComparisonOperator is non-null then we are an * expression subquery that was considered to be a candidate * for flattening, but we didn't get flattened. In that case * we are the rightOperand of the parent. We need to update * the parent's rightOperand with the new topNode and return * the parent because the parent is letting us decide whether * or not to replace the entire comparison, which we can do * if we flatten. Otherwise we simply return the new top node. */ if (parentComparisonOperator != null) { parentComparisonOperator.setRightOperand(topNode); return parentComparisonOperator; } return topNode; }	long method	Long method* 2 Feature envy	t	f	t			0	10095	https://github.com/apache/derby/blob/bd246fc89d4fce3f82f8344074ecb8a4713418df/java/org.apache.derby.engine/org/apache/derby/impl/sql/compile/SubqueryNode.java/#L606-L926	2	1142	10095
2177	YES, I found bad smells. the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public ExitCode runWithoutHelp(CommandRunnerParams params) throws Exception { ProjectFilesystem projectFilesystem = params.getCell().getFilesystem(); try (ProjectBuildFileParser parser = new DefaultProjectBuildFileParserFactory( new DefaultTypeCoercerFactory(), params.getConsole(), new ParserPythonInterpreterProvider( params.getCell().getBuckConfig(), params.getExecutableFinder()), params.getKnownRuleTypesProvider(), params.getManifestServiceSupplier(), params.getFileHashCache()) .createBuildFileParser( params.getBuckEventBus(), params.getCell(), params.getWatchman())) { /* * The super console does a bunch of rewriting over the top of the console such that * simultaneously writing to stdout and stderr in an interactive session is problematic. * (Overwritten characters, lines never showing up, etc). As such, writing to stdout directly * stops superconsole rendering (no errors appear). Because of all of this, we need to * just buffer the output and print it to stdout at the end fo the run. The downside * is that we have to buffer all of the output in memory, and it could potentially be large, * however, we'll just have to accept that tradeoff for now to get both error messages * from the parser, and the final output */ try (ByteArrayOutputStream byteOut = new ByteArrayOutputStream(); PrintStream out = new PrintStream(new BufferedOutputStream(byteOut))) { for (String pathToBuildFile : getArguments()) { // Print a comment with the path to the build file. out.printf("# %s\n\n", pathToBuildFile); // Resolve the path specified by the user. Path path = Paths.get(pathToBuildFile); if (!path.isAbsolute()) { Path root = projectFilesystem.getRootPath(); path = root.resolve(path); } // Parse the rules from the build file. ImmutableMap> rawRules = parser.getBuildFileManifest(path).getTargets(); // Format and print the rules from the raw data, filtered by type. ImmutableSet types = getTypes(); Predicate includeType = type -> types.isEmpty() || types.contains(type); printRulesToStdout(out, rawRules, includeType); } // Make sure we tell the event listener to flush, otherwise there is a race condition where // the event listener might not have flushed, we dirty the stream, and then it will not // render the last frame (see {@link SuperConsoleEventListener}) params.getBuckEventBus().post(new FlushConsoleEvent()); out.close(); params.getConsole().getStdOut().write(byteOut.toByteArray()); } } return ExitCode.SUCCESS; }	long method	Long method2 Feature envy	t	f	t			0	13408	https://github.com/facebook/buck/blob/1bc8d383ea5cb153ca9bf4f2807e6be498648523/src/com/facebook/buck/cli/AuditRulesCommand.java/#L90-L148	2	2177	13408
2345	YES, I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private void removeAndReconnect(MapReduceOper mr, MapReduceOper newMR) throws VisitorException { List mapperSuccs = getPlan().getSuccessors(mr); List mapperPreds = getPlan().getPredecessors(mr); // make a copy before removing operator ArrayList succsCopy = null; ArrayList predsCopy = null; if (mapperSuccs != null) { succsCopy = new ArrayList(mapperSuccs); } if (mapperPreds != null) { predsCopy = new ArrayList(mapperPreds); } getPlan().remove(mr); // reconnect the mapper's successors if (succsCopy != null) { for (MapReduceOper succ : succsCopy) { try { getPlan().connect(newMR, succ); } catch (PlanException e) { int errCode = 2133; String msg = "Internal Error. Unable to connect map plan with successors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } // reconnect the mapper's predecessors if (predsCopy != null) { for (MapReduceOper pred : predsCopy) { if (newMR.getOperatorKey().equals(pred.getOperatorKey())) { continue; } try { getPlan().connect(pred, newMR); } catch (PlanException e) { int errCode = 2134; String msg = "Internal Error. Unable to connect map plan with predecessors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } mergeMROperProperties(mr, newMR); }	long method	Long method2 Feature envy	t	f	t			0	14192	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/MultiQueryOptimizer.java/#L1096-L1141	2	2345	14192
569	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override protected void onRender(Element parent, int index) { super.onRender(parent, index); setLayout(new FitLayout()); setBorders(false); // init components initToolBar(); initGrid(); ContentPanel devicesBundlesPanel = new ContentPanel(); devicesBundlesPanel.setBorders(false); devicesBundlesPanel.setBodyBorder(true); devicesBundlesPanel.setHeaderVisible(false); devicesBundlesPanel.setLayout(new FitLayout()); devicesBundlesPanel.setScrollMode(Scroll.AUTO); devicesBundlesPanel.setTopComponent(toolBar); devicesBundlesPanel.add(grid); add(devicesBundlesPanel); initialized = true; }	long method	Long method2 Feature envy	t	f	t			0	5727	https://github.com/eclipse/kapua/blob/11e610c657f7e473b52882833e33a2261bd3d67d/console/module/device/src/main/java/org/eclipse/kapua/app/console/module/device/client/device/bundles/DeviceTabBundles.java/#L111-L132	2	569	5727
1101	{ "message": "YES, I found bad smells", "detected_bad_smells": [ "Blob", "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void main(List trees) { // complete the javac AST with a completed ceylon model timer.startTask("prepareForTypeChecking"); prepareForTypeChecking(trees); timer.endTask(); List javaTrees = List.nil(); List ceylonTrees = List.nil(); // split them in two sets: java and ceylon for(JCCompilationUnit tree : trees){ if(tree instanceof CeylonCompilationUnit) ceylonTrees = ceylonTrees.prepend(tree); else javaTrees = javaTrees.prepend(tree); } timer.startTask("Enter on Java trees"); boolean needsModelReset = isBootstrap; // enter java trees first to set up their ClassSymbol objects for ceylon trees to use during type-checking if(!javaTrees.isEmpty()){ setupImportedPackagesForJavaTrees(javaTrees); hasJavaAndCeylonSources = true; needsModelReset = true; } // this is false if we're in an APT round where we did not generate the trees if(!compiler.isAddModuleTrees()){ setupImportedPackagesForJavaTrees(ceylonTrees); } if(isBootstrap || hasJavaAndCeylonSources){ super.main(trees); } // now we can type-check the Ceylon code List packageInfo = completeCeylonTrees(trees); trees = trees.prependList(packageInfo); ceylonTrees = ceylonTrees.prependList(packageInfo); if(compiler.isHadRunTwiceException()){ needsModelReset = true; } if(needsModelReset){ // bootstrapping the language module is a bit more complex resetAndRunEnterAgain(trees); }else{ timer.startTask("Enter on Ceylon trees"); // and complete their new trees try { sourceLanguage.push(Language.CEYLON); super.main(ceylonTrees); } finally { sourceLanguage.pop(); } timer.endTask(); } }	long method	blob, long method	t	t	t	blob		0	9839	https://github.com/eclipse/ceylon/blob/d3994d6cd120c4df85952cd9432123b413cfd65a/compiler-java/src/org/eclipse/ceylon/compiler/java/loader/CeylonEnter.java/#L203-L255	1	1101	9839
407	YES, I found bad smells the bad smells are: 1. Long method 2. Long parameter list 3. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private static byte[] decodeUrl( byte[] bytes ) throws UrlDecoderException { if ( bytes == null ) { return Strings.EMPTY_BYTES; } ByteArrayOutputStream buffer = new ByteArrayOutputStream(); for ( int i = 0; i < bytes.length; i++ ) { int b = bytes[i]; if ( b == '%' ) { try { int u = Character.digit( ( char ) bytes[++i], 16 ); int l = Character.digit( ( char ) bytes[++i], 16 ); if ( ( u == -1 ) || ( l == -1 ) ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ) ); } buffer.write( ( char ) ( ( u << 4 ) + l ) ); } catch ( ArrayIndexOutOfBoundsException aioobe ) { throw new UrlDecoderException( I18n.err( I18n.ERR_13040_INVALID_URL_ENCODING ), aioobe ); } } else { buffer.write( b ); } } return buffer.toByteArray(); }	long method	Long method2 Long parameter list3 Feature envy	t	f	t			0	4155	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/url/LdapUrl.java/#L1067-L1106	2	407	4155
5271	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: if (!experimentCatalog.isExist(ExperimentCatalogModelType.EXPERIMENT, airavataExperimentId)) { logger.error(airavataExperimentId, "Update request failed, Experiment {} doesn't exist.", airavataExperimentId); throw new RegistryServiceException("Requested experiment id " + airavataExperimentId + " does not exist in the system.."); } ExperimentStatus experimentStatus = getExperimentStatusInternal(airavataExperimentId); if (experimentStatus != null){ ExperimentState experimentState = experimentStatus.getState(); switch (experimentState){ case CREATED: case VALIDATED: if(experiment.getUserConfigurationData() != null && experiment.getUserConfigurationData() .getComputationalResourceScheduling() != null){ String compResourceId = experiment.getUserConfigurationData() .getComputationalResourceScheduling().getResourceHostId(); ComputeResourceDescription computeResourceDescription = appCatalog.getComputeResource() .getComputeResource(compResourceId); if(!computeResourceDescription.isEnabled()){ logger.error("Compute Resource is not enabled by the Admin!"); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Compute Resource is not enabled by the Admin!"); throw exception; } } experimentCatalog.update(ExperimentCatalogModelType.EXPERIMENT, experiment, airavataExperimentId); logger.debug(airavataExperimentId, "Successfully updated experiment {} ", experiment.getExperimentName()); break; default: logger.error(airavataExperimentId, "Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); AiravataSystemException exception = new AiravataSystemException(); exception.setAiravataErrorType(AiravataErrorType.INTERNAL_ERROR); exception.setMessage("Error while updating experiment. Update experiment is only valid for experiments " + "with status CREATED, VALIDATED, CANCELLED, FAILED and UNKNOWN. Make sure the given " + "experiment is in one of above statuses... "); throw exception; } } } catch (RegistryException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } catch (AppCatalogException e) { logger.error(airavataExperimentId, "Error while updating experiment", e); RegistryServiceException exception = new RegistryServiceException(); exception.setMessage("Error while updating experiment. More info : " + e.getMessage()); throw exception; } } /** * * * * Create New Experiment	long method	long method	t	t	t			0	14741	https://github.com/apache/airavata/blob/391843a00eefa7b6213e845f2f044b4e042894d5/modules/registry/registry-server/registry-api-service/src/main/java/org/apache/airavata/registry/api/service/handler/RegistryServerHandler.java/#L3124-L3178	1	5271	14741
1745	{ "message": "YES I found bad smells", "bad smells": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Component getNextComponent(final Container container, final Component component, final FocusTraversalDirection direction) { Utils.checkNull(container, "container"); Utils.checkNull(direction, "direction"); Component nextComponent = null; int n = container.getLength(); if (n > 0) { switch (direction) { case FORWARD: if (component == null) { // Return the first component in the sequence nextComponent = container.get(0); } else { // Return the next component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index < n - 1) { nextComponent = container.get(index + 1); } else { if (wrap) { nextComponent = container.get(0); } } } break; case BACKWARD: if (component == null) { // Return the last component in the sequence nextComponent = container.get(n - 1); } else { // Return the previous component in the sequence int index = container.indexOf(component); if (index == -1) { throw new IllegalArgumentException("Component is not a child of the container."); } if (index > 0) { nextComponent = container.get(index - 1); } else { if (wrap) { nextComponent = container.get(n - 1); } } } break; default: break; } } return nextComponent; }	long method	long method	t	t	t			0	11851	https://github.com/apache/pivot/blob/568543f3396648a646341fe077a714eb06d556c0/wtk/src/org/apache/pivot/wtk/skin/ContainerSkin.java/#L57-L118	1	1745	11851
729	YES I found bad smells1. Long method 2. Feature envy 3. Message chain	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: InitializeParams get(String id) throws LanguageServerException { InitializeParams initializeParams = new InitializeParams(); LOG.debug("Initialize params constructing: started"); Boolean locality = localityRegistry.get(id); LOG.debug("Locality: {}", locality); Integer processId = locality ? ProcessIdProvider.get() : null; initializeParams.setProcessId(processId); LOG.debug("Process id: {}", processId); String projectsRoot = projectsRootRegistry.getOrNull(id); String rootPath; if (projectsRoot != null) { rootPath = projectsRoot; } else { rootPath = Paths.get(rootUri).toAbsolutePath().toString(); } initializeParams.setRootPath(rootPath); LOG.debug("Root path: {}", rootPath); String rootUri; if (projectsRoot != null) { rootUri = Paths.get(projectsRoot).toUri().toString(); } else { rootUri = this.rootUri.toString(); } initializeParams.setRootUri(rootUri); LOG.debug("Root URI: {}", rootUri); ClientCapabilities capabilities = ClientCapabilitiesProvider.get(); initializeParams.setCapabilities(capabilities); LOG.debug("Client capabilities: {}", capabilities); String clientName = ClientCapabilitiesProvider.CLIENT_NAME; initializeParams.setClientName(clientName); LOG.debug("Client name: {}", clientName); LOG.debug("Initialize params constructing: finished"); return initializeParams; }	long method	Long method2 Feature envy 3 Message chain	t	f	t			0	6854	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/wsagent/che-core-api-languageserver/src/main/java/org/eclipse/che/api/languageserver/InitializeParamsProvider.java/#L73-L114	2	729	6854
1677	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: protected JvmField createField(Field field) { JvmField result; int modifiers = field.getModifiers(); if (!field.isEnumConstant()) { result = TypesFactory.eINSTANCE.createJvmField(); } else result = TypesFactory.eINSTANCE.createJvmEnumerationLiteral(); String fieldName = field.getName(); result.internalSetIdentifier(field.getDeclaringClass().getName() + "." + fieldName); result.setSimpleName(fieldName); result.setFinal(Modifier.isFinal(modifiers)); result.setStatic(Modifier.isStatic(modifiers)); result.setTransient(Modifier.isTransient(modifiers)); result.setVolatile(Modifier.isVolatile(modifiers)); setVisibility(result, modifiers); Type fieldType = null; try { fieldType = field.getGenericType(); } catch (GenericSignatureFormatError error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } catch (MalformedParameterizedTypeException error) { logSignatureFormatError(field.getDeclaringClass()); fieldType = field.getType(); } result.setType(createTypeReference(fieldType)); createAnnotationValues(field, result); return result; }	long method	1 Long Method	t	f	t			0	11648	https://github.com/eclipse/xtext-extras/blob/5634c291880cd46fe2f8e9a47e48ef88b85e8bda/org.eclipse.xtext.common.types/src/org/eclipse/xtext/common/types/access/reflect/ReflectionTypeFactory.java/#L618-L646	1	1677	11648
1559	YES I found bad smells The bad smells are: 1. Long method 2. Feature envy 3. Duplicate code (in the if conditions for different instances of Length)	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public float computeTableUnit(PercentBaseContext percentBaseContext, int contentAreaIPD) { int sumCols = 0; float factors = 0; float unit = 0; /* calculate the total width (specified absolute/percentages), * and work out the total number of factors to use to distribute * the remaining space (if any) */ for (Object colWidth1 : colWidths) { Length colWidth = (Length) colWidth1; if (colWidth != null) { sumCols += colWidth.getValue(percentBaseContext); if (colWidth instanceof RelativeNumericProperty) { factors += ((RelativeNumericProperty) colWidth).getTableUnits(); } else if (colWidth instanceof TableColLength) { factors += ((TableColLength) colWidth).getTableUnits(); } } } /* distribute the remaining space over the accumulated * factors (if any) */ if (factors > 0) { if (sumCols < contentAreaIPD) { unit = (contentAreaIPD - sumCols) / factors; } else { log.warn("No space remaining to distribute over columns."); } } return unit; }	long method	Long method2 Feature envy3 Duplicate code (in the if conditions for different instances of Length)	t	f	t			0	11300	https://github.com/apache/fop/blob/caced35327f6b6d6eeac2a13543f3c458e902101/fop-core/src/main/java/org/apache/fop/layoutmgr/table/ColumnSetup.java/#L201-L235	2	1559	11300
3987	{ "response": "YES I found bad smells", "bad smells are": ["Long Method", "Blob"] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public BatchResponsePart executeChangeSet(final BatchHandler handler, final List requests) throws ODataException { List responses = new ArrayList(); try { oDataJPAContext.getODataJPATransaction().begin(); for (ODataRequest request : requests) { oDataJPAContext.setODataContext(getContext()); ODataResponse response = handler.handleRequest(request); if (response.getStatus().getStatusCode() >= HttpStatusCodes.BAD_REQUEST.getStatusCode()) { // Rollback oDataJPAContext.getODataJPATransaction().rollback(); List errorResponses = new ArrayList(1); errorResponses.add(response); return BatchResponsePart.responses(errorResponses).changeSet(false).build(); } responses.add(response); } oDataJPAContext.getODataJPATransaction().commit(); return BatchResponsePart.responses(responses).changeSet(true).build(); } catch (Exception e) { throw new ODataException("Error on processing request content:" + e.getMessage(), e); } finally { close(true); } }	long method	long method, blob	t	t	t	blob		0	10502	https://github.com/apache/olingo-odata2/blob/c5e9fdf569b5e2e50f5670c91013db8f9ae1d950/odata2-jpa-processor/jpa-api/src/main/java/org/apache/olingo/odata2/jpa/processor/api/ODataJPADefaultProcessor.java/#L270-L297	1	3987	10502
387	YES I found bad smells The bad smells are: 1. Long Method, 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public static Control createCustomAreaWithLink(final Composite parent, final Dialog dialog, final Binary binary) { final String binaryLabel = binary.getLabel(); final String prefix = "The requested operation cannot be performed due to invalid '" + binaryLabel + "' settings. Check your '" + binaryLabel + "' configuration and preferences under the corresponding "; final String link = "preference page"; final String suffix = "."; final String text = prefix + link + suffix; final Composite control = new Composite(parent, NONE); control.setLayout(GridLayoutFactory.fillDefaults().create()); final GridData gridData = GridDataFactory.fillDefaults().align(LEFT, TOP).grab(true, true).create(); control.setLayoutData(gridData); final StyleRange style = new StyleRange(); style.underline = true; style.underlineStyle = UNDERLINE_LINK; final StyledText styledText = new StyledText(control, MULTI | READ_ONLY | WRAP); styledText.setWordWrap(true); styledText.setJustify(true); styledText.setText(text); final GridData textGridData = GridDataFactory.fillDefaults().align(FILL, FILL).grab(true, true).create(); textGridData.widthHint = TEXT_WIDTH_HINT; textGridData.heightHint = TEXT_HEIGHT_HINT; styledText.setLayoutData(textGridData); styledText.setEditable(false); styledText.setBackground(UIUtils.getSystemColor(COLOR_WIDGET_BACKGROUND)); final int[] ranges = { text.indexOf(link), link.length() }; final StyleRange[] styles = { style }; styledText.setStyleRanges(ranges, styles); styledText.addMouseListener(new MouseAdapter() { @Override public void mouseDown(final MouseEvent event) { try { final int offset = styledText.getOffsetAtPoint(new Point(event.x, event.y)); final StyleRange actualStyle = offset >= 0 ? styledText.getStyleRangeAtOffset(offset) : null; if (null != actualStyle && actualStyle.underline && UNDERLINE_LINK == actualStyle.underlineStyle) { dialog.close(); final PreferenceDialog preferenceDialog = createPreferenceDialogOn( UIUtils.getShell(), BinariesPreferencePage.ID, FILTER_IDS, null); if (null != preferenceDialog) { preferenceDialog.open(); } } } catch (final IllegalArgumentException e) { // We are not over the actual text. } } }); return control; }	long method	Long Method, 2 Feature envy	t	f	t	2. Feature envy		0	3944	https://github.com/eclipse/n4js/blob/f715912fce0352ab574ff878086f77d17a78c908/plugins/org.eclipse.n4js.ui/src/org/eclipse/n4js/ui/binaries/IllegalBinaryStateDialog.java/#L97-L160	2	387	3944
1145	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public boolean makeAcquisitionUnstealable(final MessageInstanceConsumer consumer) { EntryState state = _state; if(state instanceof StealableConsumerAcquiredState && ((StealableConsumerAcquiredState) state).getConsumer() == consumer) { UnstealableConsumerAcquiredState unstealableState = ((StealableConsumerAcquiredState) state).getUnstealableState(); boolean updated = _stateUpdater.compareAndSet(this, state, unstealableState); if(updated) { notifyStateChange(state, unstealableState); } return updated; } return state instanceof UnstealableConsumerAcquiredState && ((UnstealableConsumerAcquiredState) state).getConsumer() == consumer; }	long method	long method	t	t	t			0	10111	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/queue/QueueEntryImpl.java/#L336-L353	1	1145	10111
371	{ "message": "YES I found bad smells the bad smells are:", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: if (hasCommandlineArgs()) { arguments = parseCommandlineArgs(); } try { Iterator iter = this.determineRelevantPluginDependencies().iterator(); while (iter.hasNext()) { Artifact classPathElement = iter.next(); // we must skip org.osgi.core, otherwise we get a // java.lang.NoClassDefFoundError: org.osgi.vendor.framework property not set if (classPathElement.getArtifactId().equals("org.osgi.core")) { if (getLog().isDebugEnabled()) { getLog().debug("Skipping org.osgi.core -> " + classPathElement.getGroupId() + "/" + classPathElement.getArtifactId() + "/" + classPathElement.getVersion()); } continue; } getLog().debug("Adding plugin dependency artifact: " + classPathElement.getArtifactId() + " to classpath"); path.add(classPathElement.getFile().toURI().toURL()); } } catch (MalformedURLException e) { throw new MojoExecutionException("Error during setting up classpath", e); } }	long method	long method, feature envy	t	t	t	feature envy		0	3852	https://github.com/apache/camel/blob/8a85a70643c4d6eec2d3abddeea44ecb06c2f486/tooling/maven/camel-maven-plugin/src/main/java/org/apache/camel/maven/RunMojo.java/#L734-L761	1	371	3852
2110	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void grantOrRevokeRoleOnGroup(List hivePrincipals, List roles, HivePrincipal grantorPrinc, boolean isGrant) throws HiveAuthzPluginException, HiveAccessControlException { try { sentryClient = getSentryClient(); // get principals Set groups = Sets.newHashSet(); for (HivePrincipal principal : hivePrincipals) { if (principal.getType() != HivePrincipalType.GROUP) { String msg = SentryHiveConstants.GRANT_REVOKE_NOT_SUPPORTED_FOR_PRINCIPAL + principal.getType(); throw new HiveAuthzPluginException(msg); } groups.add(principal.getName()); } // grant/revoke role to/from principals for (String roleName : roles) { if (isGrant) { sentryClient.grantRoleToGroups(grantorPrinc.getName(), roleName, groups); } else { sentryClient.revokeRoleFromGroups(grantorPrinc.getName(), roleName, groups); } } } catch (SentryAccessDeniedException e) { HiveOperation hiveOp = isGrant ? HiveOperation.GRANT_ROLE : HiveOperation.REVOKE_ROLE; executeOnFailureHooks(hiveOp, e); } catch (SentryUserException e) { String msg = "Error when sentryClient grant/revoke role:" + e.getMessage(); executeOnErrorHooks(msg, e); } finally { if (sentryClient != null) { sentryClient.close(); } } }	long method	long method	t	t	t			0	13182	https://github.com/apache/incubator-sentry/blob/4643f988a5e0ce2b9749e6365edea3a16482de86/sentry-binding/sentry-binding-hive-v2/src/main/java/org/apache/sentry/binding/hive/v2/authorizer/DefaultSentryAccessController.java/#L479-L515	1	2110	13182
872	YES I found bad smells the bad smells are: 1. Long method 2. Long parameter list 3. Duplicate code 4. Repeated logic	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public void validateTwoSegments(final IndexableAdapter adapter1, final IndexableAdapter adapter2) { if (adapter1.getNumRows() != adapter2.getNumRows()) { throw new SegmentValidationException( "Row count mismatch. Expected [%d] found [%d]", adapter1.getNumRows(), adapter2.getNumRows() ); } { final Set dimNames1 = Sets.newHashSet(adapter1.getDimensionNames()); final Set dimNames2 = Sets.newHashSet(adapter2.getDimensionNames()); if (!dimNames1.equals(dimNames2)) { throw new SegmentValidationException( "Dimension names differ. Expected [%s] found [%s]", dimNames1, dimNames2 ); } final Set metNames1 = Sets.newHashSet(adapter1.getMetricNames()); final Set metNames2 = Sets.newHashSet(adapter2.getMetricNames()); if (!metNames1.equals(metNames2)) { throw new SegmentValidationException("Metric names differ. Expected [%s] found [%s]", metNames1, metNames2); } } final RowIterator it1 = adapter1.getRows(); final RowIterator it2 = adapter2.getRows(); long row = 0L; while (it1.moveToNext()) { if (!it2.moveToNext()) { throw new SegmentValidationException("Unexpected end of second adapter"); } final RowPointer rp1 = it1.getPointer(); final RowPointer rp2 = it2.getPointer(); ++row; if (rp1.getRowNum() != rp2.getRowNum()) { throw new SegmentValidationException("Row number mismatch: [%d] vs [%d]", rp1.getRowNum(), rp2.getRowNum()); } try { validateRowValues(rp1, adapter1, rp2, adapter2); } catch (SegmentValidationException ex) { throw new SegmentValidationException(ex, "Validation failure on row %d: [%s] vs [%s]", row, rp1, rp2); } } if (it2.moveToNext()) { throw new SegmentValidationException("Unexpected end of first adapter"); } if (row != adapter1.getNumRows()) { throw new SegmentValidationException( "Actual Row count mismatch. Expected [%d] found [%d]", row, adapter1.getNumRows() ); } }	long method	Long method2 Long parameter list3 Duplicate code4 Repeated logic	t	f	t			0	7980	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/processing/src/main/java/org/apache/druid/segment/IndexIO.java/#L124-L179	2	872	7980
5515	YES I found bad smells the bad smells are: Long method, Feature envy, Data class	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("try") private void doRun(Map entryPoints, Method mainEntryPoint, JavaMainSupport javaMainSupport, String imageName, AbstractBootImage.NativeImageKind k, SubstitutionProcessor harnessSubstitutions, ForkJoinPool compilationExecutor, ForkJoinPool analysisExecutor) { List hostedEntryPoints = new ArrayList<>(); OptionValues options = HostedOptionValues.singleton(); SnippetReflectionProvider originalSnippetReflection = GraalAccess.getOriginalSnippetReflection(); try (DebugContext debug = DebugContext.create(options, new GraalDebugHandlersFactory(originalSnippetReflection))) { setupNativeImage(imageName, options, entryPoints, javaMainSupport, harnessSubstitutions, analysisExecutor, originalSnippetReflection, debug); boolean returnAfterAnalysis = runPointsToAnalysis(imageName, options, debug); if (returnAfterAnalysis) { return; } NativeImageHeap heap; HostedMethod mainEntryPointHostedStub; HostedMetaAccess hMetaAccess; SharedRuntimeConfigurationBuilder runtime; try (StopTimer t = new Timer(imageName, "universe").start()) { hUniverse = new HostedUniverse(bigbang); hMetaAccess = new HostedMetaAccess(hUniverse, bigbang.getMetaAccess()); new UniverseBuilder(aUniverse, bigbang.getMetaAccess(), hUniverse, hMetaAccess, HostedConfiguration.instance().createStaticAnalysisResultsBuilder(bigbang, hUniverse), bigbang.getUnsupportedFeatures()).build(debug); runtime = new HostedRuntimeConfigurationBuilder(options, bigbang.getHostVM(), hUniverse, hMetaAccess, bigbang.getProviders()).build(); registerGraphBuilderPlugins(featureHandler, runtime.getRuntimeConfig(), (HostedProviders) runtime.getRuntimeConfig().getProviders(), bigbang.getMetaAccess(), aUniverse, hMetaAccess, hUniverse, nativeLibraries, loader, false, true, bigbang.getAnnotationSubstitutionProcessor(), new SubstrateClassInitializationPlugin((SVMHost) aUniverse.hostVM()), bigbang.getHostVM().getClassInitializationSupport()); if (NativeImageOptions.PrintUniverse.getValue()) { printTypes(); } /* Find the entry point methods in the hosted world. */ for (AnalysisMethod m : aUniverse.getMethods()) { if (m.isEntryPoint()) { HostedMethod found = hUniverse.lookup(m); assert found != null; hostedEntryPoints.add(found); } } /* Find main entry point */ if (mainEntryPoint != null) { AnalysisMethod analysisStub = CEntryPointCallStubSupport.singleton().getStubForMethod(mainEntryPoint); mainEntryPointHostedStub = (HostedMethod) hMetaAccess.getUniverse().lookup(analysisStub); assert hostedEntryPoints.contains(mainEntryPointHostedStub); } else { mainEntryPointHostedStub = null; } if (hostedEntryPoints.size() == 0) { throw UserError.abort("Warning: no entry points found, i.e., no method annotated with @" + CEntryPoint.class.getSimpleName()); } heap = new NativeImageHeap(aUniverse, hUniverse, hMetaAccess); BeforeCompilationAccessImpl config = new BeforeCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.beforeCompilation(config)); bigbang.getUnsupportedFeatures().report(bigbang); } catch (UnsupportedFeatureException ufe) { throw UserError.abort(ufe.getMessage()); } recordMethodsWithStackValues(); recordRestrictHeapAccessCallees(aUniverse.getMethods()); /* * After this point, all TypeFlow (and therefore also TypeState) objects are unreachable * and can be garbage collected. This is important to keep the overall memory footprint * low. However, this also means we no longer have complete call chain information. Only * the summarized information stored in the StaticAnalysisResult objects is available * after this point. */ bigbang.cleanupAfterAnalysis(); NativeImageCodeCache codeCache; CompileQueue compileQueue; try (StopTimer t = new Timer(imageName, "compile").start()) { compileQueue = HostedConfiguration.instance().createCompileQueue(debug, featureHandler, hUniverse, runtime, DeoptTester.enabled(), bigbang.getProviders().getSnippetReflection(), compilationExecutor); compileQueue.finish(debug); /* release memory taken by graphs for the image writing */ hUniverse.getMethods().forEach(HostedMethod::clear); codeCache = NativeImageCodeCacheFactory.get().newCodeCache(compileQueue, heap); codeCache.layoutConstants(); codeCache.layoutMethods(debug, imageName); AfterCompilationAccessImpl config = new AfterCompilationAccessImpl(featureHandler, loader, aUniverse, hUniverse, hMetaAccess, heap, debug); featureHandler.forEachFeature(feature -> feature.afterCompilation(config)); } try (Indent indent = debug.logAndIndent("create native image")) { try (DebugContext.Scope buildScope = debug.scope("CreateBootImage")) { try (StopTimer t = new Timer(imageName, "image").start()) { // Start building the model of the native image heap. heap.addInitialObjects(); // Then build the model of the code cache, which can // add objects to the native image heap. codeCache.addConstantsToHeap(); // Finish building the model of the native image heap. heap.addTrailingObjects(); AfterHeapLayoutAccessImpl config = new AfterHeapLayoutAccessImpl(featureHandler, loader, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.afterHeapLayout(config)); this.image = AbstractBootImage.create(k, hUniverse, hMetaAccess, nativeLibraries, heap, codeCache, hostedEntryPoints, mainEntryPointHostedStub, loader.getClassLoader()); image.build(debug); if (NativeImageOptions.PrintUniverse.getValue()) { /* * This debug output must be printed _after_ and not _during_ image * building, because it adds some PrintStream objects to static fields, * which disrupts the heap. */ codeCache.printCompilationResults(); } } } } BeforeImageWriteAccessImpl beforeConfig = new BeforeImageWriteAccessImpl(featureHandler, loader, imageName, image, runtime.getRuntimeConfig(), aUniverse, hUniverse, optionProvider, hMetaAccess, debug); featureHandler.forEachFeature(feature -> feature.beforeImageWrite(beforeConfig)); try (StopTimer t = new Timer(imageName, "write").start()) { /* * This will write the debug info too -- i.e. we may be writing more than one file, * if the debug info is in a separate file. We need to push writing the file to the * image implementation, because whether the debug info and image share a file or * not is an implementation detail of the image. */ Path tmpDir = tempDirectory(); Path imagePath = image.write(debug, generatedFiles(HostedOptionValues.singleton()), tmpDir, imageName, beforeConfig).getOutputFile(); AfterImageWriteAccessImpl afterConfig = new AfterImageWriteAccessImpl(featureHandler, loader, hUniverse, imagePath, tmpDir, image.getBootImageKind(), debug); featureHandler.forEachFeature(feature -> feature.afterImageWrite(afterConfig)); } } }	long method	Long method, Feature envy, Data class	t	f	t	Feature envy, Data class		0	4260	https://github.com/oracle/graal/blob/4deb681aaaa79c248115037fc8e399c9876619fd/substratevm/src/com.oracle.svm.hosted/src/com/oracle/svm/hosted/NativeImageGenerator.java/#L487-L632	1	5515	4260
2597	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Collection validate(final ValidationContext validationContext, final CredentialsStrategy primaryStrategy) { boolean thisIsSelectedStrategy = this == primaryStrategy; Boolean useStrategy = validationContext.getProperty(strategyProperty).asBoolean(); if (!thisIsSelectedStrategy && useStrategy) { String failureFormat = "property %1$s cannot be used with %2$s"; Collection validationFailureResults = new ArrayList(); String message = String.format(failureFormat, strategyProperty.getDisplayName(), primaryStrategy.getName()); validationFailureResults.add(new ValidationResult.Builder() .subject(strategyProperty.getDisplayName()) .valid(false) .explanation(message).build()); return validationFailureResults; } return null; }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	15009	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-aws-bundle/nifi-aws-processors/src/main/java/org/apache/nifi/processors/aws/credentials/provider/factory/strategies/AbstractBooleanCredentialsStrategy.java/#L51-L68	1	2597	15009
379	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy 3. Switch statement 4. Possible lack of comparison strategy for different cases 5. Use of instanceof operator 6. Use of type-unsafe comparison between different types (numbers and strings) 7. Lack of proper comments/documentation 8. Unclear and potentially misleading variable names such as "o1" and "o2" 9. Potential for code duplication due to nested if/else statements 10. Use of raw type Collection instead of parametrized type	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static boolean evaluateImpl(Object o1, Object o2) { // TODO: maybe we need a comparison "strategy" here, instead of // a switch of all possible cases? ... there were other requests for // more relaxed type-unsafe comparison (e.g. numbers to strings) if (o1 == null && o2 == null) { return true; } else if (o1 != null) { // Per CAY-419 we perform 'in' comparison if one object is a list, and other is not if (o2 instanceof Collection) { for (Object element : ((Collection) o2)) { if (element != null && Evaluator.evaluator(element).eq(element, o1)) { return true; } } return false; } return Evaluator.evaluator(o1).eq(o1, o2); } return false; }	long method	Long method2 Feature envy3 Switch statement4 Possible lack of comparison strategy for different cases5 Use of instanceof operator6 Use of type-unsafe comparison between different types (numbers and strings)7 Lack of proper comments/documentation8 Unclear and potentially misleading variable names such as "o	t	f	t			0	3905	https://github.com/apache/cayenne/blob/5be5235ed1c02589b6300e9729cf3c308c0173e8/cayenne-server/src/main/java/org/apache/cayenne/exp/parser/ASTEqual.java/#L76-L97	2	379	3905
632	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public int hashCode() { int hash = 37; if ( baseDn != null ) { hash = hash * 17 + baseDn.hashCode(); } hash = hash * 17 + aliasDerefMode.hashCode(); hash = hash * 17 + scope.hashCode(); hash = hash * 17 + Long.valueOf( sizeLimit ).hashCode(); hash = hash * 17 + timeLimit; hash = hash * 17 + ( typesOnly ? 0 : 1 ); if ( attributes != null ) { hash = hash * 17 + attributes.size(); // Order doesn't matter, thus just add hashCode for ( String attr : attributes ) { if ( attr != null ) { hash = hash + attr.hashCode(); } } } BranchNormalizedVisitor visitor = new BranchNormalizedVisitor(); filterNode.accept( visitor ); hash = hash * 17 + filterNode.toString().hashCode(); hash = hash * 17 + super.hashCode(); return hash; }	long method	Long method2 Feature envy	t	f	t			0	6293	https://github.com/apache/directory-ldap-api/blob/5b93e102556ad2191b5d30411708410d1b1a9d71/ldap/model/src/main/java/org/apache/directory/api/ldap/model/message/SearchRequestImpl.java/#L373-L409	2	632	6293
590	{"message": "YES, I found bad smells", "bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static boolean handleAspectAnnotation(RuntimeAnnos runtimeAnnotations, AjAttributeStruct struct) { AnnotationGen aspect = getAnnotation(runtimeAnnotations, AjcMemberMaker.ASPECT_ANNOTATION); if (aspect != null) { // semantic check for inheritance (only one level up) boolean extendsAspect = false; if (!"java.lang.Object".equals(struct.enclosingType.getSuperclass().getName())) { if (!struct.enclosingType.getSuperclass().isAbstract() && struct.enclosingType.getSuperclass().isAspect()) { reportError("cannot extend a concrete aspect", struct); return false; } extendsAspect = struct.enclosingType.getSuperclass().isAspect(); } NameValuePair aspectPerClause = getAnnotationElement(aspect, VALUE); final PerClause perClause; if (aspectPerClause == null) { // empty value means singleton unless inherited if (!extendsAspect) { perClause = new PerSingleton(); } else { perClause = new PerFromSuper(struct.enclosingType.getSuperclass().getPerClause().getKind()); } } else { String perX = aspectPerClause.getValue().stringifyValue(); if (perX == null || perX.length() <= 0) { perClause = new PerSingleton(); } else { perClause = parsePerClausePointcut(perX, struct); } } if (perClause == null) { // could not parse it, ignore the aspect return false; } else { perClause.setLocation(struct.context, -1, -1);// struct.context.getOffset(), // struct.context.getOffset()+1);//FIXME // AVASM // Not setting version here // struct.ajAttributes.add(new AjAttribute.WeaverVersionInfo()); AjAttribute.Aspect aspectAttribute = new AjAttribute.Aspect(perClause); struct.ajAttributes.add(aspectAttribute); FormalBinding[] bindings = new org.aspectj.weaver.patterns.FormalBinding[0]; final IScope binding; binding = new BindingScope(struct.enclosingType, struct.context, bindings); // // we can't resolve here since the perclause typically refers // to pointcuts // // defined in the aspect that we haven't told the // BcelObjectType about yet. // // perClause.resolve(binding); // so we prepare to do it later... aspectAttribute.setResolutionScope(binding); return true; } } return false; }	long method	long method, data class	t	t	t	data class		0	5890	https://github.com/eclipse/org.aspectj/blob/370f291c359cd159c5f3f0abd6e9e53e81234a07/weaver/src/main/java/org/aspectj/weaver/bcel/AtAjAttributes.java/#L526-L584	1	590	5890
3557	{ "response": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Object getValue(final String columnLabel, final Class type) throws SQLException { Object result; if (Object.class == type) { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } else if (boolean.class == type) { result = decrypt(columnLabel, resultSet.getBoolean(columnLabel)); } else if (byte.class == type) { result = decrypt(columnLabel, resultSet.getByte(columnLabel)); } else if (short.class == type) { result = decrypt(columnLabel, resultSet.getShort(columnLabel)); } else if (int.class == type) { result = decrypt(columnLabel, resultSet.getInt(columnLabel)); } else if (long.class == type) { result = decrypt(columnLabel, resultSet.getLong(columnLabel)); } else if (float.class == type) { result = decrypt(columnLabel, resultSet.getFloat(columnLabel)); } else if (double.class == type) { result = decrypt(columnLabel, resultSet.getDouble(columnLabel)); } else if (String.class == type) { result = decrypt(columnLabel, resultSet.getString(columnLabel)); } else if (BigDecimal.class == type) { result = decrypt(columnLabel, resultSet.getBigDecimal(columnLabel)); } else if (byte[].class == type) { result = resultSet.getBytes(columnLabel); } else if (Date.class == type) { result = resultSet.getDate(columnLabel); } else if (Time.class == type) { result = resultSet.getTime(columnLabel); } else if (Timestamp.class == type) { result = resultSet.getTimestamp(columnLabel); } else if (URL.class == type) { result = resultSet.getURL(columnLabel); } else if (Blob.class == type) { result = resultSet.getBlob(columnLabel); } else if (Clob.class == type) { result = resultSet.getClob(columnLabel); } else if (SQLXML.class == type) { result = resultSet.getSQLXML(columnLabel); } else if (Reader.class == type) { result = resultSet.getCharacterStream(columnLabel); } else { result = decrypt(columnLabel, resultSet.getObject(columnLabel)); } return result; }	long method	long method, blob	t	t	t	blob		0	7777	https://github.com/apache/incubator-shardingsphere/blob/c5cf1d15b02f3a0fb3bda4f15d5f0b3779eac7ba/sharding-core/sharding-core-execute/src/main/java/org/apache/shardingsphere/core/execute/sql/execute/result/StreamQueryResult.java/#L117-L162	1	3557	7777
1555	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public final EObject entryRuleXMultiplicativeExpression() throws RecognitionException { EObject current = null; EObject iv_ruleXMultiplicativeExpression = null; try { // InternalEntities.g:1696:66: (iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF ) // InternalEntities.g:1697:2: iv_ruleXMultiplicativeExpression= ruleXMultiplicativeExpression EOF { if ( state.backtracking==0 ) { newCompositeNode(grammarAccess.getXMultiplicativeExpressionRule()); } pushFollow(FOLLOW_1); iv_ruleXMultiplicativeExpression=ruleXMultiplicativeExpression(); state._fsp--; if (state.failed) return current; if ( state.backtracking==0 ) { current =iv_ruleXMultiplicativeExpression; } match(input,EOF,FOLLOW_2); if (state.failed) return current; } } catch (RecognitionException re) { recover(input,re); appendSkippedTokens(); } finally { } return current; }	long method	Long method2 Feature envy	t	f	t			0	11276	https://github.com/eclipse/xtext-web/blob/ff7aa71dbdf9f1abf4cf3e3911c17707293dfe49/org.eclipse.xtext.web.example.entities/src-gen/org/eclipse/xtext/web/example/entities/parser/antlr/internal/InternalEntitiesParser.java/#L5034-L5068	2	1555	11276
4398	YES, I found bad smells The bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void startElement(final String uri, final String localName, final String qname, final Attributes attributes) throws SAXException { // Verify and initialize the context stack at root element. if (contextStack.size() == 0) { if (!qname.equals(rootElement)) { throw new SAXConfigurationException( new ConfigurationException.IncorrectElement(rootElement, qname, this.source, locator.getLineNumber()), locator); } String all = attributes.getValue("includeAllClasses"); if ("true".equals(all)) allClasses = true; contextStack.push(qname); return; } else { if (qname.equals("classEntry")) { String path = attributes.getValue("path"); includedClasses.add(path); } else if (qname.equals("namespaceManifestEntry")) { String manifest = attributes.getValue("manifest"); String namespace = attributes.getValue("namespace"); fbArgs.add("-namespace"); fbArgs.add(namespace); String mf = contextPath + "/" + manifest; File f = new File(mf); if (!f.exists()) { mf = contextPath + "/src/" + manifest; } fbArgs.add(mf); fbArgs.add("-include-namespaces"); fbArgs.add(namespace); } } }	long method	Long method2 Feature envy	t	f	t			0	11629	https://github.com/apache/royale-compiler/blob/fbd9bc3b9e48c80dbd8c1d32a6f83221e314efdd/compiler-common/src/main/java/org/apache/royale/compiler/internal/config/FlashBuilderConfigurator.java/#L468-L510	2	4398	11629
958	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected static boolean typeCheckMethodsWithGenerics(ClassNode receiver, ClassNode[] arguments, MethodNode candidateMethod) { if (isUsingUncheckedGenerics(receiver)) { return true; } if (CLASS_Type.equals(receiver) && receiver.isUsingGenerics() && !candidateMethod.getDeclaringClass().equals(receiver) && !(candidateMethod instanceof ExtensionMethodNode)) { return typeCheckMethodsWithGenerics(receiver.getGenericsTypes()[0].getType(), arguments, candidateMethod); } // both candidate method and receiver have generic information so a check is possible GenericsType[] genericsTypes = candidateMethod.getGenericsTypes(); boolean methodUsesGenerics = (genericsTypes != null && genericsTypes.length > 0); boolean isExtensionMethod = candidateMethod instanceof ExtensionMethodNode; if (isExtensionMethod && methodUsesGenerics) { ClassNode[] dgmArgs = new ClassNode[arguments.length + 1]; dgmArgs[0] = receiver; System.arraycopy(arguments, 0, dgmArgs, 1, arguments.length); MethodNode extensionMethodNode = ((ExtensionMethodNode) candidateMethod).getExtensionMethodNode(); return typeCheckMethodsWithGenerics(extensionMethodNode.getDeclaringClass(), dgmArgs, extensionMethodNode, true); } else { return typeCheckMethodsWithGenerics(receiver, arguments, candidateMethod, false); } }	long method	Long method2 Feature envy	t	f	t			0	8556	https://github.com/apache/groovy/blob/00ee0547c00673a93e0843a9d72c8e4293d1efdb/src/main/java/org/codehaus/groovy/transform/stc/StaticTypeCheckingSupport.java/#L1460-L1483	2	958	8556
462	{"message": "YES I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public Serializable getRoutingObject(EntryOperation opDetails) { Date date = (Date) opDetails.getKey(); Calendar cal = Calendar.getInstance(); cal.setTime(date); int month = cal.get(Calendar.MONTH); // if(true){ // return month; // } switch (month) { case 0: return "January"; case 1: return "February"; case 2: return "March"; case 3: return "April"; case 4: return "May"; case 5: return "June"; case 6: return "July"; case 7: return "August"; case 8: return "September"; case 9: return "October"; case 10: return "November"; case 11: return "December"; default: return null; } }	long method	1. long method	t	t	t			0	4467	https://github.com/apache/geode/blob/8fd839e8b73e40bd2dfd14f331b587431bd35a66/geode-core/src/distributedTest/java/org/apache/geode/internal/cache/partitioned/fixed/SingleHopQuarterPartitionResolver.java/#L69-L107	1	462	4467
1513	{ "response": "YES I found bad smells", "detected_bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static List> getFacilityContactMechValueMaps(Delegator delegator, String facilityId, boolean showOld, String contactMechTypeId) { List> facilityContactMechValueMaps = new LinkedList>(); List allFacilityContactMechs = null; try { List tempCol = EntityQuery.use(delegator).from("FacilityContactMech").where("facilityId", facilityId).queryList(); if (contactMechTypeId != null) { List tempColTemp = new LinkedList(); for (GenericValue partyContactMech: tempCol) { GenericValue contactMech = delegator.getRelatedOne("ContactMech", partyContactMech, false); if (contactMech != null && contactMechTypeId.equals(contactMech.getString("contactMechTypeId"))) { tempColTemp.add(partyContactMech); } } tempCol = tempColTemp; } if (!showOld) tempCol = EntityUtil.filterByDate(tempCol, true); allFacilityContactMechs = tempCol; } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (allFacilityContactMechs == null) return facilityContactMechValueMaps; for (GenericValue facilityContactMech: allFacilityContactMechs) { GenericValue contactMech = null; try { contactMech = facilityContactMech.getRelatedOne("ContactMech", false); } catch (GenericEntityException e) { Debug.logWarning(e, module); } if (contactMech != null) { Map facilityContactMechValueMap = new HashMap(); facilityContactMechValueMaps.add(facilityContactMechValueMap); facilityContactMechValueMap.put("contactMech", contactMech); facilityContactMechValueMap.put("facilityContactMech", facilityContactMech); try { facilityContactMechValueMap.put("contactMechType", contactMech.getRelatedOne("ContactMechType", true)); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { List facilityContactMechPurposes = facilityContactMech.getRelated("FacilityContactMechPurpose", null, null, false); if (!showOld) facilityContactMechPurposes = EntityUtil.filterByDate(facilityContactMechPurposes, true); facilityContactMechValueMap.put("facilityContactMechPurposes", facilityContactMechPurposes); } catch (GenericEntityException e) { Debug.logWarning(e, module); } try { if ("POSTAL_ADDRESS".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("postalAddress", contactMech.getRelatedOne("PostalAddress", false)); } else if ("TELECOM_NUMBER".equals(contactMech.getString("contactMechTypeId"))) { facilityContactMechValueMap.put("telecomNumber", contactMech.getRelatedOne("TelecomNumber", false)); } } catch (GenericEntityException e) { Debug.logWarning(e, module); } } } return facilityContactMechValueMaps; }	long method	Long Method, Feature Envy	t	f	t	Feature Envy		0	11161	https://github.com/apache/ofbiz/blob/7ba7f3c2e16df6c8db0d8114e124957199cea1ff/applications/party/src/main/java/org/apache/ofbiz/party/contact/ContactMechWorker.java/#L129-L198	1	1513	11161
2299	{ "output": "YES I found bad smells\nthe bad smells are:\n1. Long Method" }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static String getOatFileInstructionSet(File oatFile) throws Throwable { ShareElfFile elfFile = null; String result = ""; try { elfFile = new ShareElfFile(oatFile); final ShareElfFile.SectionHeader roDataHdr = elfFile.getSectionHeaderByName(".rodata"); if (roDataHdr == null) { throw new IOException("Unable to find .rodata section."); } final FileChannel channel = elfFile.getChannel(); channel.position(roDataHdr.shOffset); final byte[] oatMagicAndVersion = new byte[8]; ShareElfFile.readUntilLimit(channel, ByteBuffer.wrap(oatMagicAndVersion), "Failed to read oat magic and version."); if (oatMagicAndVersion[0] != 'o' || oatMagicAndVersion[1] != 'a' || oatMagicAndVersion[2] != 't' || oatMagicAndVersion[3] != '\n') { throw new IOException( String.format("Bad oat magic: %x %x %x %x", oatMagicAndVersion[0], oatMagicAndVersion[1], oatMagicAndVersion[2], oatMagicAndVersion[3]) ); } final int versionOffsetFromOatBegin = 4; final int versionBytes = 3; final String oatVersion = new String(oatMagicAndVersion, versionOffsetFromOatBegin, versionBytes, Charset.forName("ASCII")); try { Integer.parseInt(oatVersion); } catch (NumberFormatException e) { throw new IOException("Bad oat version: " + oatVersion); } ByteBuffer buffer = ByteBuffer.allocate(128); buffer.order(elfFile.getDataOrder()); // TODO This is a risk point, since each oat version may use a different offset. // So far it's ok. Perhaps we should use oatVersionNum to judge the right offset in // the future. final int isaNumOffsetFromOatBegin = 12; channel.position(roDataHdr.shOffset + isaNumOffsetFromOatBegin); buffer.limit(4); ShareElfFile.readUntilLimit(channel, buffer, "Failed to read isa num."); int isaNum = buffer.getInt(); if (isaNum < 0 || isaNum >= InstructionSet.values().length) { throw new IOException("Bad isa num: " + isaNum); } switch (InstructionSet.values()[isaNum]) { case kArm: case kThumb2: result = "arm"; break; case kArm64: result = "arm64"; break; case kX86: result = "x86"; break; case kX86_64: result = "x86_64"; break; case kMips: result = "mips"; break; case kMips64: result = "mips64"; break; case kNone: result = "none"; break; default: throw new IOException("Should not reach here."); } } finally { if (elfFile != null) { try { elfFile.close(); } catch (Exception ignored) { // Ignored. } } } return result; }	long method	\n1. long method	t	t	t			0	14028	https://github.com/Tencent/tinker/blob/7523900600317ebd618f3505434176b381bd0bc2/tinker-android/tinker-android-loader/src/main/java/com/tencent/tinker/loader/shareutil/ShareOatUtil.java/#L48-L139	1	2299	14028
729	{ "message": "YES, I found bad smells", "detected_bad_smells": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: InitializeParams get(String id) throws LanguageServerException { InitializeParams initializeParams = new InitializeParams(); LOG.debug("Initialize params constructing: started"); Boolean locality = localityRegistry.get(id); LOG.debug("Locality: {}", locality); Integer processId = locality ? ProcessIdProvider.get() : null; initializeParams.setProcessId(processId); LOG.debug("Process id: {}", processId); String projectsRoot = projectsRootRegistry.getOrNull(id); String rootPath; if (projectsRoot != null) { rootPath = projectsRoot; } else { rootPath = Paths.get(rootUri).toAbsolutePath().toString(); } initializeParams.setRootPath(rootPath); LOG.debug("Root path: {}", rootPath); String rootUri; if (projectsRoot != null) { rootUri = Paths.get(projectsRoot).toUri().toString(); } else { rootUri = this.rootUri.toString(); } initializeParams.setRootUri(rootUri); LOG.debug("Root URI: {}", rootUri); ClientCapabilities capabilities = ClientCapabilitiesProvider.get(); initializeParams.setCapabilities(capabilities); LOG.debug("Client capabilities: {}", capabilities); String clientName = ClientCapabilitiesProvider.CLIENT_NAME; initializeParams.setClientName(clientName); LOG.debug("Client name: {}", clientName); LOG.debug("Initialize params constructing: finished"); return initializeParams; }	long method	long method, data class	t	t	t	data class		0	6854	https://github.com/eclipse/che/blob/c5498c2ac562cd8a2fc79a6bb0446d291f05a201/wsagent/che-core-api-languageserver/src/main/java/org/eclipse/che/api/languageserver/InitializeParamsProvider.java/#L73-L114	1	729	6854
5189	{ "response": "YES I found bad smells", "bad_smells": [ "Long Method", "Feature Envy" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: None	long method	long method, feature envy	t	t	t	feature envy		0	14509	https://github.com/apache/hive/blob/2fa22bf360898dc8fd1408bfcc96e1c6aeaf9a53/standalone-metastore/metastore-common/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/metastore/api/ThriftHiveMetastore.java/#L65076-L65111	1	5189	14509
2115	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private static DimFilter negate(final DimFilter filter) { if (Filtration.matchEverything().equals(filter)) { return Filtration.matchNothing(); } else if (Filtration.matchNothing().equals(filter)) { return Filtration.matchEverything(); } else if (filter instanceof NotDimFilter) { return ((NotDimFilter) filter).getField(); } else if (filter instanceof BoundDimFilter) { final BoundDimFilter negated = Bounds.not((BoundDimFilter) filter); return negated != null ? negated : new NotDimFilter(filter); } else { return new NotDimFilter(filter); } }	long method	long method, data class	t	t	t	data class		0	13193	https://github.com/apache/incubator-druid/blob/8ca7cb4886dcaeeaaea3a06aceb9e6d50eeecab5/sql/src/main/java/org/apache/druid/sql/calcite/filtration/CombineAndSimplifyBounds.java/#L221-L235	1	2115	13193
1842	{ "response": "YES I found bad smells", "detected_bad_smells": [ { "1": "Long Method" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public SystemDiagnosticsDTO createSystemDiagnosticsDto(final SystemDiagnostics sysDiagnostics) { final SystemDiagnosticsDTO dto = new SystemDiagnosticsDTO(); final SystemDiagnosticsSnapshotDTO snapshot = new SystemDiagnosticsSnapshotDTO(); dto.setAggregateSnapshot(snapshot); snapshot.setStatsLastRefreshed(new Date(sysDiagnostics.getCreationTimestamp())); // processors snapshot.setAvailableProcessors(sysDiagnostics.getAvailableProcessors()); snapshot.setProcessorLoadAverage(sysDiagnostics.getProcessorLoadAverage()); // threads snapshot.setDaemonThreads(sysDiagnostics.getDaemonThreads()); snapshot.setTotalThreads(sysDiagnostics.getTotalThreads()); // heap snapshot.setMaxHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxHeap())); snapshot.setMaxHeapBytes(sysDiagnostics.getMaxHeap()); snapshot.setTotalHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalHeap())); snapshot.setTotalHeapBytes(sysDiagnostics.getTotalHeap()); snapshot.setUsedHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedHeap())); snapshot.setUsedHeapBytes(sysDiagnostics.getUsedHeap()); snapshot.setFreeHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeHeap())); snapshot.setFreeHeapBytes(sysDiagnostics.getFreeHeap()); if (sysDiagnostics.getHeapUtilization() != -1) { snapshot.setHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getHeapUtilization())); } // non heap snapshot.setMaxNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getMaxNonHeap())); snapshot.setMaxNonHeapBytes(sysDiagnostics.getMaxNonHeap()); snapshot.setTotalNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getTotalNonHeap())); snapshot.setTotalNonHeapBytes(sysDiagnostics.getTotalNonHeap()); snapshot.setUsedNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getUsedNonHeap())); snapshot.setUsedNonHeapBytes(sysDiagnostics.getUsedNonHeap()); snapshot.setFreeNonHeap(FormatUtils.formatDataSize(sysDiagnostics.getFreeNonHeap())); snapshot.setFreeNonHeapBytes(sysDiagnostics.getFreeNonHeap()); if (sysDiagnostics.getNonHeapUtilization() != -1) { snapshot.setNonHeapUtilization(FormatUtils.formatUtilization(sysDiagnostics.getNonHeapUtilization())); } // flow file disk usage final SystemDiagnosticsSnapshotDTO.StorageUsageDTO flowFileRepositoryStorageUsageDto = createStorageUsageDTO(null, sysDiagnostics.getFlowFileRepositoryStorageUsage()); snapshot.setFlowFileRepositoryStorageUsage(flowFileRepositoryStorageUsageDto); // content disk usage final Set contentRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setContentRepositoryStorageUsage(contentRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getContentRepositoryStorageUsage().entrySet()) { contentRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // provenance disk usage final Set provenanceRepositoryStorageUsageDtos = new LinkedHashSet<>(); snapshot.setProvenanceRepositoryStorageUsage(provenanceRepositoryStorageUsageDtos); for (final Map.Entry entry : sysDiagnostics.getProvenanceRepositoryStorageUsage().entrySet()) { provenanceRepositoryStorageUsageDtos.add(createStorageUsageDTO(entry.getKey(), entry.getValue())); } // garbage collection final Set garbageCollectionDtos = new LinkedHashSet<>(); snapshot.setGarbageCollection(garbageCollectionDtos); for (final Map.Entry entry : sysDiagnostics.getGarbageCollection().entrySet()) { garbageCollectionDtos.add(createGarbageCollectionDTO(entry.getKey(), entry.getValue())); } // version info final SystemDiagnosticsSnapshotDTO.VersionInfoDTO versionInfoDto = createVersionInfoDTO(); snapshot.setVersionInfo(versionInfoDto); // uptime snapshot.setUptime(FormatUtils.formatHoursMinutesSeconds(sysDiagnostics.getUptime(), TimeUnit.MILLISECONDS)); return dto; }	long method	1, Long Method	t	f	t	1		0	12151	https://github.com/apache/nifi/blob/c8eff590efa3babcda0b755009224dcac168708b/nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-web/nifi-web-api/src/main/java/org/apache/nifi/web/api/dto/DtoFactory.java/#L3110-L3185	1	1842	12151
754	{"response": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override @SuppressWarnings("unchecked") public int executeUpdate(final String inSql) throws SQLException { this.sql = inSql; if (this.sql == null) { throw new SQLException("sql is null"); } trimSQL(); if (this.sql.length() == 0) { throw new SQLException("empty sql"); } String lowcaseSql = this.sql.toLowerCase(); Object req = null; // TODO use patterns if (lowcaseSql.startsWith("create domain") || lowcaseSql.startsWith("create table")) { //$NON-NLS-1$ int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); req = new CreateDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete domain") || lowcaseSql.startsWith("delete table") //$NON-NLS-1$ || lowcaseSql.startsWith("drop table")) { int pos = this.sql.lastIndexOf(" "); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(pos + 1).trim(), DELIMITED_IDENTIFIER_QUOTE); List pending = this.conn.getPendingColumns(domain); if (pending != null) { pending = new ArrayList<>(pending); for (String attr : pending) { this.conn.removePendingColumn(domain, attr); } } req = new DeleteDomainRequest().withDomainName(domain); } else if (lowcaseSql.startsWith("delete from")) { req = prepareDeleteRowRequest(); } else if (lowcaseSql.startsWith("alter table ")) { req = prepareDropAttributeRequest(); } else if (lowcaseSql.startsWith("insert ")) { req = prepareInsertRequest(); } else if (lowcaseSql.startsWith("update ")) { req = prepareUpdateRequest(); } else if (lowcaseSql.startsWith("create testdomain ")) { req = new ArrayList<>(); String domain = convertSQLIdentifierToCatalogFormat(this.sql.substring(this.sql.lastIndexOf(" ") + 1).trim(), //$NON-NLS-1$ DELIMITED_IDENTIFIER_QUOTE); ((List) req).add(new CreateDomainRequest().withDomainName(domain)); ReplaceableAttribute attr = new ReplaceableAttribute().withName("attr1").withValue("val1").withReplace(Boolean.TRUE); for (int i = 0; i < 570; i++) { ((List) req).add(new PutAttributesRequest().withDomainName(domain).withItemName("item" + i).withAttributes(attr)); } } if (req != null) { int result = executeSDBRequest(req); if (this.params != null) { for (Object obj : this.params) { if (obj instanceof SimpleDBItemName) { ((SimpleDBItemName) obj).setPersisted(true); } } } return result; } throw new SQLException("unsupported update: " + this.sql); }	long method	long method	t	t	t			0	7039	https://github.com/aws/aws-toolkit-eclipse/blob/49026f53fdd4f80a7fb997c9e40fe6e638a26edc/bundles/com.amazonaws.eclipse.simpledb/src/com/amazonaws/eclipse/datatools/enablement/simpledb/internal/driver/JdbcStatement.java/#L432-L502	1	754	7039
2304	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void configure(TestElement el) { setName(el.getName()); Arguments arguments = (Arguments) el.getProperty(HTTPSamplerBase.ARGUMENTS).getObjectValue(); boolean useRaw = el.getPropertyAsBoolean(HTTPSamplerBase.POST_BODY_RAW, HTTPSamplerBase.POST_BODY_RAW_DEFAULT); if(useRaw) { String postBody = computePostBody(arguments, true); // Convert CRLF to CR, see modifyTestElement postBodyContent.setInitialText(postBody); postBodyContent.setCaretPosition(0); argsPanel.clear(); postContentTabbedPane.setSelectedIndex(tabRawBodyIndex, false); } else { postBodyContent.setInitialText(""); argsPanel.configure(arguments); postContentTabbedPane.setSelectedIndex(TAB_PARAMETERS, false); } if(showFileUploadPane) { filesPanel.configure(el); } domain.setText(el.getPropertyAsString(HTTPSamplerBase.DOMAIN)); String portString = el.getPropertyAsString(HTTPSamplerBase.PORT); // Only display the port number if it is meaningfully specified if (portString.equals(HTTPSamplerBase.UNSPECIFIED_PORT_AS_STRING)) { port.setText(""); // $NON-NLS-1$ } else { port.setText(portString); } protocol.setText(el.getPropertyAsString(HTTPSamplerBase.PROTOCOL)); contentEncoding.setText(el.getPropertyAsString(HTTPSamplerBase.CONTENT_ENCODING)); path.setText(el.getPropertyAsString(HTTPSamplerBase.PATH)); if (notConfigOnly){ method.setText(el.getPropertyAsString(HTTPSamplerBase.METHOD)); followRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.FOLLOW_REDIRECTS)); autoRedirects.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.AUTO_REDIRECTS)); useKeepAlive.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.USE_KEEPALIVE)); useMultipart.setSelected(el.getPropertyAsBoolean(HTTPSamplerBase.DO_MULTIPART_POST)); useBrowserCompatibleMultipartMode.setSelected(el.getPropertyAsBoolean( HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART, HTTPSamplerBase.BROWSER_COMPATIBLE_MULTIPART_MODE_DEFAULT)); } }	long method	long method	t	t	t			0	14061	https://github.com/apache/jmeter/blob/0facf1525a7d0bd816efd33e72309856e901a883/src/protocol/http/org/apache/jmeter/protocol/http/config/gui/UrlConfigGui.java/#L272-L314	1	2304	14061
1716	YES, I found bad smells 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: private String formatQueryString(final String projectUri, final String[] args) { final StringBuffer result = new StringBuffer(); if (projectUri != null) { if (isCompatibleMode) { result.append("puri="); //$NON-NLS-1$ result.append(URLEncode.encode(projectUri.toString())); } else { final ArtifactID artifactID = new ArtifactID(projectUri); result.append("pguid="); //$NON-NLS-1$ result.append(URLEncode.encode(artifactID.getToolSpecificID())); } } else if (!isCompatibleMode) { result.append("pcguid="); //$NON-NLS-1$ result.append(URLEncode.encode(collectionId.toString())); } for (int i = 0; i < args.length - 1; i += 2) { final String name = args[i]; final String value = args[i + 1]; if (name != null) { if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(name)); } if (value != null) { if (name != null) { result.append('='); } else if (result.length() > 0) { result.append('&'); } result.append(URLEncode.encode(value)); } } return result.toString(); }	long method	Long method2 Feature envy	t	f	t			0	11781	https://github.com/Microsoft/team-explorer-everywhere/blob/89ab2a4847aec8ec2afdf36c3f6287dd03bd558d/source/com.microsoft.tfs.core/src/com/microsoft/tfs/core/util/TSWAHyperlinkBuilder.java/#L518-L559	2	1716	11781
5765	} YES I found bad smells the bad smells are: 1. Long method, 2.Feature envy	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: } private boolean mergeMap(Map fragmentMap, Map mainMap, Map tempMap, WebXml fragment, String mapName) { for (Entry entry : fragmentMap.entrySet()) { final String key = entry.getKey(); if (!mainMap.containsKey(key)) { // Not defined in main web.xml T value = entry.getValue(); if (tempMap.containsKey(key)) { if (value != null && !value.equals( tempMap.get(key))) { log.error(sm.getString( "webXml.mergeConflictString", mapName, key, fragment.getName(), fragment.getURL())); return false; } } else { tempMap.put(key, value); } } } return true;	long method	Long method, 2Feature envy	t	f	t	2.Feature envy		0	14654	https://github.com/apache/tomcat/blob/a9c1a0661198d9ba37c1facd8385fe05d538c4ad/java/org/apache/tomcat/util/descriptor/web/WebXml.java/#L1961-L1987	1	5765	14654
1041	YES I found bad smells The bad smells are: 1.Long method, 2.Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: static public Object postUpdate(String itemName, String stateString) { ItemRegistry registry = ScriptServiceUtil.getItemRegistry(); EventPublisher publisher = ScriptServiceUtil.getEventPublisher(); if (publisher != null && registry != null) { try { Item item = registry.getItem(itemName); State state = TypeParser.parseState(item.getAcceptedDataTypes(), stateString); if (state != null) { publisher.post(ItemEventFactory.createStateEvent(itemName, state)); } else { LoggerFactory.getLogger(BusEvent.class).warn( "Cannot convert '{}' to a state type which item '{}' accepts: {}.", stateString, itemName, getAcceptedDataTypeNames(item)); } } catch (ItemNotFoundException e) { LoggerFactory.getLogger(BusEvent.class).warn("Item '{}' does not exist.", itemName); } } return null; }	long method	Long method, 2Feature envy	t	f	t	2.Feature envy.		0	9429	https://github.com/eclipse/smarthome/blob/b8455de15d65512e8fac4e94d42de6ab2fccf1c5/bundles/model/org.eclipse.smarthome.model.script/src/org/eclipse/smarthome/model/script/actions/BusEvent.java/#L153-L172	2	1041	9429
866	{ "message": "YES I found bad smells", "bad smells are": [ "1. Long Method", "2. Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private XMLEvent expectTag(String expected, boolean allowEnd) throws IOException { XMLEvent ev = null; while (true) { try { ev = events.nextEvent(); } catch (XMLStreamException e) { throw new IOException("Expecting " + expected + ", but got XMLStreamException", e); } switch (ev.getEventType()) { case XMLEvent.ATTRIBUTE: throw new IOException("Got unexpected attribute: " + ev); case XMLEvent.CHARACTERS: if (!ev.asCharacters().isWhiteSpace()) { throw new IOException("Got unxpected characters while " + "looking for " + expected + ": " + ev.asCharacters().getData()); } break; case XMLEvent.END_ELEMENT: if (!allowEnd) { throw new IOException("Got unexpected end event " + "while looking for " + expected); } return ev; case XMLEvent.START_ELEMENT: if (!expected.startsWith("[")) { if (!ev.asStartElement().getName().getLocalPart(). equals(expected)) { throw new IOException("Failed to find <" + expected + ">; " + "got " + ev.asStartElement().getName().getLocalPart() + " instead."); } } return ev; default: // Ignore other event types like comment, etc. if (LOG.isTraceEnabled()) { LOG.trace("Skipping XMLEvent of type " + ev.getEventType() + "(" + ev + ")"); } break; } } }	long method	1. long method, 2. blob	t	t	t	2. blob		0	7932	https://github.com/apache/hadoop/blob/128dd91e10080bdcbcd7d555fa3c4105e55a6b51/hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/OfflineImageReconstructor.java/#L184-L229	1	866	7932
2400	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method", "Data Class"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public void widgetSelected( SelectionEvent e ) { Object widget = e.widget; if ( widget == btnVisible ) { // Notify Listeners that a change has occurred in the value fireValueChangedEvent( GanttLineAttributesComposite.VISIBILITY_CHANGED_EVENT, Boolean.valueOf( btnVisible.getSelectionState( ) == ChartCheckbox.STATE_SELECTED ), ( btnVisible.getSelectionState( ) == ChartCheckbox.STATE_GRAYED ) ? ChartUIExtensionUtil.PROPERTY_UNSET : ChartUIExtensionUtil.PROPERTY_UPDATE ); // Notification may cause this class disposed if ( isDisposed( ) ) { return; } // Enable/Disable UI Elements boolean bEnableUI = context.getUIFactory( ).canEnableUI( btnVisible ); if ( bEnableStyles ) { lblStyle.setEnabled( bEnableUI ); cmbStyle.setEnabled( bEnableUI ); } if ( bEnableWidths ) { lblWidth.setEnabled( bEnableUI ); iscWidth.setEnabled( bEnableUI ); } if ( bEnableColor ) { lblColor.setEnabled( bEnableUI ); cmbColor.setEnabled( bEnableUI ); } } }	long method	long method, data class	t	t	t	data class		0	14379	https://github.com/eclipse/birt/blob/f89264810347de98702db45386a822aabc0fadbf/chart/org.eclipse.birt.chart.ui.extension/src/org/eclipse/birt/chart/ui/swt/composites/GanttLineAttributesComposite.java/#L365-L398	1	2400	14379
964	{ "message": "YES I found bad smells", "detected_bad_smells": [ { "1. Long Method": "Long Method detected" }, { "2. Feature Envy": "Feature Envy detected" } ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @SuppressWarnings("unchecked") private void extractDataAndSave(IBatchDAO batchDAO) { if (logger.isDebugEnabled()) { logger.debug("Extract data and save"); } long startTime = System.currentTimeMillis(); try { HistogramMetric.Timer timer = prepareLatency.createTimer(); List batchAllCollection = new LinkedList(); try { List persistenceWorkers = new ArrayList<>(); persistenceWorkers.addAll(IndicatorProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(RecordProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.addAll(TopNProcess.INSTANCE.getPersistentWorkers()); persistenceWorkers.forEach(worker -> { if (logger.isDebugEnabled()) { logger.debug("extract {} worker data and save", worker.getClass().getName()); } if (worker.flushAndSwitch()) { List batchCollection = worker.buildBatchCollection(); if (logger.isDebugEnabled()) { logger.debug("extract {} worker data size: {}", worker.getClass().getName(), batchCollection.size()); } batchAllCollection.addAll(batchCollection); } }); if (debug) { logger.info("build batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } } finally { timer.finish(); } HistogramMetric.Timer executeLatencyTimer = executeLatency.createTimer(); try { batchDAO.batchPersistence(batchAllCollection); } finally { executeLatencyTimer.finish(); } } catch (Throwable e) { errorCounter.inc(); logger.error(e.getMessage(), e); } finally { if (logger.isDebugEnabled()) { logger.debug("persistence data save finish"); } } if (debug) { logger.info("batch persistence duration: {} ms", System.currentTimeMillis() - startTime); } }	long method	1. long method: long method detected, 2. feature envy: feature envy detected	t	t	t	2. feature envy: feature envy detected		0	8595	https://github.com/apache/incubator-skywalking/blob/32c4bced8a7e055003d6e4bea0fd8f8361bec8e5/oap-server/server-core/src/main/java/org/apache/skywalking/oap/server/core/storage/PersistenceTimer.java/#L72-L129	1	964	8595
984	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method", "Blob" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: List freevarDefs(int pos, List freevars, Symbol owner, long additionalFlags) { long flags = FINAL | SYNTHETIC | additionalFlags; List defs = List.nil(); Set proxyNames = new HashSet<>(); for (List l = freevars; l.nonEmpty(); l = l.tail) { VarSymbol v = l.head; int index = 0; Name proxyName; do { proxyName = proxyName(v.name, index++); } while (!proxyNames.add(proxyName)); VarSymbol proxy = new VarSymbol( flags, proxyName, v.erasure(types), owner); proxies.put(v, proxy); JCVariableDecl vd = make.at(pos).VarDef(proxy, null); vd.vartype = access(vd.vartype); defs = defs.prepend(vd); } return defs; }	long method	long method, blob	t	t	t	blob		0	8875	https://github.com/SAP/SapMachine/blob/6e62561730c46dc5000c39665c43951832192ceb/src/jdk.compiler/share/classes/com/sun/tools/javac/comp/Lower.java/#L1457-L1477	1	984	8875
1859	{"response": "YES I found bad smells", "detected_bad_smells": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public PigServer(PigContext context, boolean connect) throws ExecException { this.pigContext = context; currDAG = new Graph(false); jobName = pigContext.getProperties().getProperty( PigContext.JOB_NAME, PigContext.JOB_NAME_PREFIX + ":DefaultJobName"); if (connect) { pigContext.connect(); } this.filter = new BlackAndWhitelistFilter(this); addHadoopProperties(); addJarsFromProperties(); markPredeployedJarsFromProperties(); if (ScriptState.get() == null) { // If Pig was started via command line, ScriptState should have been // already initialized in Main. If so, we should not overwrite it. ScriptState.start(pigContext.getExecutionEngine().instantiateScriptState()); } PigStats.start(pigContext.getExecutionEngine().instantiatePigStats()); // log ATS event includes the caller context String auditId = PigATSClient.getPigAuditId(pigContext); String callerId = (String)pigContext.getProperties().get(PigConfiguration.PIG_LOG_TRACE_ID); log.info("Pig Script ID for the session: " + auditId); if (callerId != null) { log.info("Caller ID for session: " + callerId); } if (Boolean.parseBoolean(pigContext.getProperties() .getProperty(PigConfiguration.PIG_ATS_ENABLED))) { if (Boolean.parseBoolean(pigContext.getProperties() .getProperty("yarn.timeline-service.enabled", "false"))) { PigATSClient.ATSEvent event = new PigATSClient.ATSEvent(auditId, callerId); try { PigATSClient.getInstance().logEvent(event); } catch (Exception e) { log.warn("Error posting to ATS: ", e); } } else { log.warn("ATS is disabled since" + " yarn.timeline-service.enabled set to false"); } } // set hdfs caller context Class callerContextClass = null; try { callerContextClass = Class.forName("org.apache.hadoop.ipc.CallerContext"); } catch (ClassNotFoundException e) { // If pre-Hadoop 2.8.0, skip setting CallerContext } if (callerContextClass != null) { try { // Reflection for the following code since it is only available since hadoop 2.8.0: // CallerContext hdfsContext = new CallerContext.Builder(auditId).build(); // CallerContext.setCurrent(hdfsContext); Class callerContextBuilderClass = Class.forName("org.apache.hadoop.ipc.CallerContext$Builder"); Constructor callerContextBuilderConstruct = callerContextBuilderClass.getConstructor(String.class); Object builder = callerContextBuilderConstruct.newInstance(auditId); Method builderBuildMethod = builder.getClass().getMethod("build"); Object hdfsContext = builderBuildMethod.invoke(builder); Method callerContextSetCurrentMethod = callerContextClass.getMethod("setCurrent", hdfsContext.getClass()); callerContextSetCurrentMethod.invoke(callerContextClass, hdfsContext); } catch (Exception e) { // Shall not happen unless API change in future Hadoop commons throw new ExecException(e); } } }	long method	long method	t	t	t			0	12219	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/PigServer.java/#L223-L296	1	1859	12219
605	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public int next() { final int startNode = _startNode; if (_startNode == NULL) { return NULL; } int node = _currentNode; int expType; final int nodeType = _nodeType; if (nodeType != DTM.ELEMENT_NODE) { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType != nodeType); } // %OPT% If the start node is root (e.g. in the case of //node), // we can save the isDescendant() check, because all nodes are // descendants of root. else if (startNode == DTMDefaultBase.ROOTNODE) { do { node++; expType = _exptype2(node); if (NULL == expType) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } else { do { node++; expType = _exptype2(node); if (NULL == expType || _parent2(node) < startNode && startNode != node) { _currentNode = NULL; return END; } } while (expType < DTM.NTYPES || m_extendedTypes[expType].getNodeType() != DTM.ELEMENT_NODE); } _currentNode = node; return returnNode(makeNodeHandle(node)); }	long method	long method	t	t	t			0	6050	https://github.com/google/j2objc/blob/471504a735b48d5d4ace51afa1542cc4790a921a/xalan/third_party/android/platform/external/apache-xml/src/main/java/org/apache/xml/dtm/ref/sax2dtm/SAX2DTM2.java/#L1658-L1719	1	605	6050
1314	YES I found bad smells the bad smells are: 1. Long method 2. Loss of cohesion	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public short syncAll(short syncMode) { short syncState = SYNC_STATE_IN_SYNC; /* vnc classes need to be synchronized with cloudstack */ s_logger.debug("syncing cloudstack db with vnc"); try { for (Class cls : _vncClasses) { /* lock the sync mode*/ _lockSyncMode.lock(); _rwMode = syncMode == DBSyncGeneric.SYNC_MODE_UPDATE; _dbSync.setSyncMode(syncMode); if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check start: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync start: " + DBSyncGeneric.getClassName(cls)); } if (_dbSync.sync(cls) == false) { if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.info("out of sync detected: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.info("out of sync detected and re-synced: " + DBSyncGeneric.getClassName(cls)); } syncState = SYNC_STATE_OUT_OF_SYNC; } if (_dbSync.getSyncMode() == DBSyncGeneric.SYNC_MODE_CHECK) { s_logger.debug("sync check finish: " + DBSyncGeneric.getClassName(cls)); } else { s_logger.debug("sync finish: " + DBSyncGeneric.getClassName(cls)); } /* unlock the sync mode */ _lockSyncMode.unlock(); } } catch (Exception ex) { s_logger.warn("DB Synchronization", ex); syncState = SYNC_STATE_UNKNOWN; if (_lockSyncMode.isLocked()) { _lockSyncMode.unlock(); } } return syncState; }	long method	Long method2 Loss of cohesion	t	f	t			0	10686	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/plugins/network-elements/juniper-contrail/src/main/java/org/apache/cloudstack/network/contrail/management/ServerDBSyncImpl.java/#L129-L174	2	1314	10686
1923	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: void setStackMap(StackMapTable_attribute attr) { if (attr == null) { map = null; return; } Method m = classWriter.getMethod(); Descriptor d = m.descriptor; String[] args; try { ConstantPool cp = classWriter.getClassFile().constant_pool; String argString = d.getParameterTypes(cp); args = argString.substring(1, argString.length() - 1).split("[, ]+"); } catch (ConstantPoolException | InvalidDescriptor e) { return; } boolean isStatic = m.access_flags.is(AccessFlags.ACC_STATIC); verification_type_info[] initialLocals = new verification_type_info[(isStatic ? 0 : 1) + args.length]; if (!isStatic) initialLocals[0] = new CustomVerificationTypeInfo("this"); for (int i = 0; i < args.length; i++) { initialLocals[(isStatic ? 0 : 1) + i] = new CustomVerificationTypeInfo(args[i].replace(".", "/")); } map = new HashMap<>(); StackMapBuilder builder = new StackMapBuilder(); // using -1 as the pc for the initial frame effectively compensates for // the difference in behavior for the first stack map frame (where the // pc offset is just offset_delta) compared to subsequent frames (where // the pc offset is always offset_delta+1). int pc = -1; map.put(pc, new StackMap(initialLocals, empty)); for (int i = 0; i < attr.entries.length; i++) pc = attr.entries[i].accept(builder, pc); }	long method	Long method2 Feature envy	t	f	t			0	12426	https://github.com/google/error-prone-javac/blob/a53d069bbdb2c60232ed3811c19b65e41c3e60e0/src/jdk.jdeps/share/classes/com/sun/tools/javap/StackMapWriter.java/#L72-L111	2	1923	12426
1515	YES I found bad smells the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected static boolean typeCheckMethodsWithGenerics(ClassNode receiver, ClassNode[] arguments, MethodNode candidateMethod) { if (isUsingUncheckedGenerics(receiver)) { return true; } if (CLASS_Type.equals(receiver) && receiver.isUsingGenerics() && !candidateMethod.getDeclaringClass().equals(receiver) && !(candidateMethod instanceof ExtensionMethodNode)) { return typeCheckMethodsWithGenerics(receiver.getGenericsTypes()[0].getType(), arguments, candidateMethod); } // both candidate method and receiver have generic information so a check is possible GenericsType[] genericsTypes = candidateMethod.getGenericsTypes(); boolean methodUsesGenerics = (genericsTypes != null && genericsTypes.length > 0); boolean isExtensionMethod = candidateMethod instanceof ExtensionMethodNode; if (isExtensionMethod && methodUsesGenerics) { ClassNode[] dgmArgs = new ClassNode[arguments.length + 1]; dgmArgs[0] = receiver; System.arraycopy(arguments, 0, dgmArgs, 1, arguments.length); MethodNode extensionMethodNode = ((ExtensionMethodNode) candidateMethod).getExtensionMethodNode(); return typeCheckMethodsWithGenerics(extensionMethodNode.getDeclaringClass(), dgmArgs, extensionMethodNode, true); } else { return typeCheckMethodsWithGenerics(receiver, arguments, candidateMethod, false); } }	long method	Long method2 Feature envy	t	f	t			0	11164	https://github.com/apache/groovy/blob/00ee0547c00673a93e0843a9d72c8e4293d1efdb/src/main/java/org/codehaus/groovy/transform/stc/StaticTypeCheckingSupport.java/#L1460-L1483	2	1515	11164
466	{ "message": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private boolean deriveTypeHierarchyFromOverridden(ParserRule rule, Grammar grammar) throws TransformationException { AbstractRule parentRule = GrammarUtil.findRuleForName(grammar, rule.getName()); if (parentRule != null) { if (parentRule != rule && parentRule instanceof ParserRule) { ParserRule casted = (ParserRule) parentRule; if (casted.isFragment() != rule.isFragment()) { if (rule.isFragment()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "A fragment rule cannot override a production rule.", rule); } else { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Only fragment rule can override other fragment rules.", rule); } } if (casted.isWildcard() != rule.isWildcard()) { if (rule.isWildcard()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "A wildcard fragment rule cannot override a typed fragment rule.", rule); } else { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Only wildcard fragment rules can override other wildcard fragments.", rule); } } if (rule.isFragment() && !rule.isWildcard() && parentRule.getType() != null) { if (rule.getType().getClassifier() != parentRule.getType().getClassifier()) { throw new TransformationException(TransformationErrorCode.InvalidFragmentOverride, "Overriding fragment rules cannot redeclare their type.", rule.getType()); } } checkParameterLists(rule, casted); } if (parentRule.getType() != null && parentRule != rule) { if (parentRule.getType().getClassifier() instanceof EDataType) throw new TransformationException(TransformationErrorCode.InvalidSupertype, "Cannot inherit from datatype rule and return another type.", rule.getType()); EClassifierInfo parentTypeInfo = eClassifierInfos.getInfoOrNull(parentRule.getType()); if (parentTypeInfo == null) throw new TransformationException(TransformationErrorCode.InvalidSupertype, "Cannot determine return type of overridden rule.", rule.getType()); addSuperType(rule, rule.getType(), parentTypeInfo); return true; } } return false; }	long method	long method	t	t	t			0	4523	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext/src/org/eclipse/xtext/xtext/ecoreInference/Xtext2EcoreTransformer.java/#L720-L764	1	466	4523
2345	{"response": "YES, I found bad smells. The bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void removeAndReconnect(MapReduceOper mr, MapReduceOper newMR) throws VisitorException { List mapperSuccs = getPlan().getSuccessors(mr); List mapperPreds = getPlan().getPredecessors(mr); // make a copy before removing operator ArrayList succsCopy = null; ArrayList predsCopy = null; if (mapperSuccs != null) { succsCopy = new ArrayList(mapperSuccs); } if (mapperPreds != null) { predsCopy = new ArrayList(mapperPreds); } getPlan().remove(mr); // reconnect the mapper's successors if (succsCopy != null) { for (MapReduceOper succ : succsCopy) { try { getPlan().connect(newMR, succ); } catch (PlanException e) { int errCode = 2133; String msg = "Internal Error. Unable to connect map plan with successors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } // reconnect the mapper's predecessors if (predsCopy != null) { for (MapReduceOper pred : predsCopy) { if (newMR.getOperatorKey().equals(pred.getOperatorKey())) { continue; } try { getPlan().connect(pred, newMR); } catch (PlanException e) { int errCode = 2134; String msg = "Internal Error. Unable to connect map plan with predecessors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } mergeMROperProperties(mr, newMR); }	long method	1. long method	t	t	t			0	14192	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/MultiQueryOptimizer.java/#L1096-L1141	1	2345	14192
1400	YES I found bad smells the bad smells are: 1. Long method, 2. Duplicate code.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Test public void writeRead() throws IOException { try (XSSFWorkbook workbook = XSSFTestDataSamples.openSampleWorkbook("WithVariousData.xlsx")) { XSSFSheet sheet1 = workbook.getSheetAt(0); XSSFSheet sheet2 = workbook.getSheetAt(1); assertTrue(sheet1.hasComments()); assertFalse(sheet2.hasComments()); // Change on comment on sheet 1, and add another into // sheet 2 Row r5 = sheet1.getRow(4); Comment cc5 = r5.getCell(2).getCellComment(); cc5.setAuthor("Apache POI"); cc5.setString(new XSSFRichTextString("Hello!")); Row r2s2 = sheet2.createRow(2); Cell c1r2s2 = r2s2.createCell(1); assertNull(c1r2s2.getCellComment()); Drawing dg = sheet2.createDrawingPatriarch(); Comment cc2 = dg.createCellComment(new XSSFClientAnchor()); cc2.setAuthor("Also POI"); cc2.setString(new XSSFRichTextString("A new comment")); c1r2s2.setCellComment(cc2); // Save, and re-load the file try (XSSFWorkbook workbookBack = XSSFTestDataSamples.writeOutAndReadBack(workbook)) { // Check we still have comments where we should do sheet1 = workbookBack.getSheetAt(0); sheet2 = workbookBack.getSheetAt(1); assertNotNull(sheet1.getRow(4).getCell(2).getCellComment()); assertNotNull(sheet1.getRow(6).getCell(2).getCellComment()); assertNotNull(sheet2.getRow(2).getCell(1).getCellComment()); // And check they still have the contents they should do assertEquals("Apache POI", sheet1.getRow(4).getCell(2).getCellComment().getAuthor()); assertEquals("Nick Burch", sheet1.getRow(6).getCell(2).getCellComment().getAuthor()); assertEquals("Also POI", sheet2.getRow(2).getCell(1).getCellComment().getAuthor()); assertEquals("Hello!", sheet1.getRow(4).getCell(2).getCellComment().getString().getString()); } } }	long method	Long method, 2 Duplicate code	t	f	t	2. Duplicate code.		0	10859	https://github.com/apache/poi/blob/351623a86924dab9c565e08e8cecfe151522c448/src/ooxml/testcases/org/apache/poi/xssf/model/TestCommentsTable.java/#L128-L175	2	1400	10859
309	{"message": "YES, I found bad smells", "bad_smells": ["Blob", "Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: public static void m() { C c = new C(); E1 e1 = new E1(); E2 e2 = new E2(); c.foo(e1,e2.getClass()); }	long method	blob, long method	t	t	t	blob		0	3204	https://github.com/eclipse/org.aspectj/blob/370f291c359cd159c5f3f0abd6e9e53e81234a07/tests/bugs1611/pr336880/Second.java/#L4-L9	1	309	3204
257	{ "response": "YES, I found bad smells", "bad smells": [ "1. Long method", "2. Feature envy" ] }	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: public String command() { String flags; if (add) { flags = " +FLAGS "; } else if (subtract) { flags = " -FLAGS "; } else { flags = " FLAGS "; } if (silent) { flags = flags + ".SILENT"; } return "STORE " + msn + flags + this.flags + ")"; }	long method	1. long method, 2. feature envy	t	t	t	2. feature envy		0	2777	https://github.com/apache/james-project/blob/fa24a096a5853459c3769a34ccc68feb91626bfa/mpt/core/src/main/java/org/apache/james/mpt/helper/ScriptBuilder.java/#L604-L617	2	257	2777
383	YES I found bad smells. the bad smells are: 1. Long method 2. Feature envy	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: protected boolean downloadLog(HttpServletRequest request, HttpServletResponse response, ILogService logService, String appenderName) throws ServletException { FileAppender appender = logService .getFileAppender(appenderName); if (appender == null) { String msg = NLS.bind("Appender not found: {0}", appenderName); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_NOT_FOUND, msg, null); return statusHandler.handleRequest(request, response, error); } File logFile = new File(appender.getFile()); try { LogUtils.provideLogFile(logFile, response); } catch (Exception ex) { String msg = NLS.bind("An error occured when looking for log {0}.", logFile.getName()); final ServerStatus error = new ServerStatus(IStatus.ERROR, HttpServletResponse.SC_INTERNAL_SERVER_ERROR, msg, ex); LogHelper.log(error); return statusHandler.handleRequest(request, response, error); } return true; }	long method	Long method2 Feature envy	t	f	t			0	3920	https://github.com/eclipse/orion.server/blob/24624b85e0d543e8f3cea2bc30f3f589b37de4f0/bundles/org.eclipse.orion.server.logs/src/org/eclipse/orion/server/logs/servlets/FileAppenderHandler.java/#L43-L70	2	383	3920
2132	YES, I found bad smells. the bad smells are: 1. Long method, 2. Feature envy.	I need to check if the Java code below contains code smells (aka bad smells). Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with "YES I found bad smells" when you find any bad smell. Otherwise, start your answer with "NO, I did not find any bad smell". When you start to list the detected bad smells, always put in your answer "the bad smells are:" amongst the text your answer and always separate it in this format: 1.Long method, 2.Feature envy: @Override public void execute() throws ResourceUnavailableException, InsufficientCapacityException, ServerApiException, ConcurrentOperationException, ResourceAllocationException, NetworkRuleConflictException { Map dm = new HashMap(); dm.put(ApiConstants.S3_ACCESS_KEY, getAccessKey()); dm.put(ApiConstants.S3_SECRET_KEY, getSecretKey()); dm.put(ApiConstants.S3_END_POINT, getEndPoint()); dm.put(ApiConstants.S3_BUCKET_NAME, getBucketName()); if (getSigner() != null && (getSigner().equals(ApiConstants.S3_V3_SIGNER) || getSigner().equals(ApiConstants.S3_V4_SIGNER))) { dm.put(ApiConstants.S3_SIGNER, getSigner()); } if (isHttps() != null) { dm.put(ApiConstants.S3_HTTPS_FLAG, isHttps().toString()); } if (getConnectionTimeout() != null) { dm.put(ApiConstants.S3_CONNECTION_TIMEOUT, getConnectionTimeout().toString()); } if (getMaxErrorRetry() != null) { dm.put(ApiConstants.S3_MAX_ERROR_RETRY, getMaxErrorRetry().toString()); } if (getSocketTimeout() != null) { dm.put(ApiConstants.S3_SOCKET_TIMEOUT, getSocketTimeout().toString()); } if (getConnectionTtl() != null) { dm.put(ApiConstants.S3_CONNECTION_TTL, getConnectionTtl().toString()); } if (getUseTCPKeepAlive() != null) { dm.put(ApiConstants.S3_USE_TCP_KEEPALIVE, getUseTCPKeepAlive().toString()); } try{ ImageStore result = _storageService.discoverImageStore(null, null, "S3", null, dm); ImageStoreResponse storeResponse; if (result != null) { storeResponse = _responseGenerator.createImageStoreResponse(result); storeResponse.setResponseName(getCommandName()); storeResponse.setObjectName("imagestore"); setResponseObject(storeResponse); } else { throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, "Failed to add S3 Image Store."); } } catch (DiscoveryException ex) { s_logger.warn("Exception: ", ex); throw new ServerApiException(ApiErrorCode.INTERNAL_ERROR, ex.getMessage()); } }	long method	Long method, 2 Feature envy	t	f	t	2. Feature envy.		0	13234	https://github.com/apache/cloudstack/blob/8d3feb100aab4a45b31a789f444038b892161eec/api/src/main/java/org/apache/cloudstack/api/command/admin/storage/AddImageStoreS3CMD.java/#L99-L147	2	2132	13234
141	{"message": "YES I found bad smells", "bad smells are": ["Long Method"]}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public void sequence(ISerializationContext context, EObject semanticObject) { EPackage epackage = semanticObject.eClass().getEPackage(); ParserRule rule = context.getParserRule(); Action action = context.getAssignedAction(); Set parameters = context.getEnabledBooleanParameters(); if (epackage == Bug250313Package.eINSTANCE) switch (semanticObject.eClass().getClassifierID()) { case Bug250313Package.CHILD1: sequence_Child1(context, (Child1) semanticObject); return; case Bug250313Package.CHILD2: sequence_Child2(context, (Child2) semanticObject); return; case Bug250313Package.MODEL: sequence_Model(context, (Model) semanticObject); return; } if (errorAcceptor != null) errorAcceptor.accept(diagnosticProvider.createInvalidContextOrTypeDiagnostic(semanticObject, context)); }	long method	long method	t	t	t			0	1773	https://github.com/eclipse/xtext-core/blob/e04964e4c2a3e0338c0079bd8333688835e77c31/org.eclipse.xtext.tests/src-gen/org/eclipse/xtext/valueconverter/serializer/Bug250313SemanticSequencer.java/#L29-L49	1	141	1773
970	{"response": "YES I found bad smells the bad smells are: 1. Long Method"}	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private void removeAndReconnect(MapReduceOper mr, MapReduceOper newMR) throws VisitorException { List mapperSuccs = getPlan().getSuccessors(mr); List mapperPreds = getPlan().getPredecessors(mr); // make a copy before removing operator ArrayList succsCopy = null; ArrayList predsCopy = null; if (mapperSuccs != null) { succsCopy = new ArrayList(mapperSuccs); } if (mapperPreds != null) { predsCopy = new ArrayList(mapperPreds); } getPlan().remove(mr); // reconnect the mapper's successors if (succsCopy != null) { for (MapReduceOper succ : succsCopy) { try { getPlan().connect(newMR, succ); } catch (PlanException e) { int errCode = 2133; String msg = "Internal Error. Unable to connect map plan with successors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } // reconnect the mapper's predecessors if (predsCopy != null) { for (MapReduceOper pred : predsCopy) { if (newMR.getOperatorKey().equals(pred.getOperatorKey())) { continue; } try { getPlan().connect(pred, newMR); } catch (PlanException e) { int errCode = 2134; String msg = "Internal Error. Unable to connect map plan with predecessors for optimization."; throw new OptimizerException(msg, errCode, PigException.BUG, e); } } } mergeMROperProperties(mr, newMR); }	long method	1. long method	t	t	t			0	8695	https://github.com/apache/pig/blob/17a4d1795ead1f2b4c62043eaf4739ed39ec2f3f/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/MultiQueryOptimizer.java/#L1096-L1141	1	970	8695
429	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public ListenableFuture recover(QueueManagingVirtualHost virtualHost) { EventLogger eventLogger = virtualHost.getEventLogger(); MessageStore store = virtualHost.getMessageStore(); MessageStore.MessageStoreReader storeReader = store.newMessageStoreReader(); MessageStoreLogSubject logSubject = new MessageStoreLogSubject(virtualHost.getName(), store.getClass().getSimpleName()); Map, Integer> queueRecoveries = new TreeMap<>(); Map> recoveredMessages = new HashMap<>(); Map> unusedMessages = new TreeMap<>(); Map unknownQueuesWithMessages = new HashMap<>(); Map, Integer> queuesWithUnknownMessages = new HashMap<>(); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_START()); storeReader.visitMessages(new MessageVisitor(recoveredMessages, unusedMessages)); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_START(null, false)); try { storeReader.visitMessageInstances(new MessageInstanceVisitor(virtualHost, store, queueRecoveries, recoveredMessages, unusedMessages, unknownQueuesWithMessages, queuesWithUnknownMessages)); } finally { if (!unknownQueuesWithMessages.isEmpty()) { unknownQueuesWithMessages.forEach((queueId, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue id '{}' as a queue with this " + "id does not appear in the configuration.", count, queueId); }); } if (!queuesWithUnknownMessages.isEmpty()) { queuesWithUnknownMessages.forEach((queue, count) -> { LOGGER.info("Discarded {} entry(s) associated with queue '{}' as the referenced message " + "does not exist.", count, queue.getName()); }); } } for(Map.Entry, Integer> entry : queueRecoveries.entrySet()) { Queue queue = entry.getKey(); Integer deliveredCount = entry.getValue(); eventLogger.message(logSubject, TransactionLogMessages.RECOVERED(deliveredCount, queue.getName())); eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(queue.getName(), true)); queue.completeRecovery(); } for (Queue q : virtualHost.getChildren(Queue.class)) { if (!queueRecoveries.containsKey(q)) { q.completeRecovery(); } } storeReader.visitDistributedTransactions(new DistributedTransactionVisitor(virtualHost, eventLogger, logSubject, recoveredMessages, unusedMessages)); for(StoredMessage m : unusedMessages.values()) { LOGGER.debug("Message id '{}' is orphaned, removing", m.getMessageNumber()); m.remove(); } if (unusedMessages.size() > 0) { LOGGER.info("Discarded {} orphaned message(s).", unusedMessages.size()); } eventLogger.message(logSubject, TransactionLogMessages.RECOVERY_COMPLETE(null, false)); eventLogger.message(logSubject, MessageStoreMessages.RECOVERED(recoveredMessages.size() - unusedMessages.size())); eventLogger.message(logSubject, MessageStoreMessages.RECOVERY_COMPLETE()); return Futures.immediateFuture(null); }	long method	long method	t	t	t			0	4276	https://github.com/apache/qpid-broker-j/blob/4c4400b98a5a8493cfb9e5dbb21c97175f433a62/broker-core/src/main/java/org/apache/qpid/server/virtualhost/SynchronousMessageStoreRecoverer.java/#L63-L151	1	429	4276
5649	YES I found bad smells the bad smells are: 1. Long method	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: @Override public java.util.concurrent.Future generateAutonomousDatabaseWallet( final GenerateAutonomousDatabaseWalletRequest request, final com.oracle.bmc.responses.AsyncHandler< GenerateAutonomousDatabaseWalletRequest, GenerateAutonomousDatabaseWalletResponse> handler) { LOG.trace("Called async generateAutonomousDatabaseWallet"); final GenerateAutonomousDatabaseWalletRequest interceptedRequest = GenerateAutonomousDatabaseWalletConverter.interceptRequest(request); final com.oracle.bmc.http.internal.WrappedInvocationBuilder ib = GenerateAutonomousDatabaseWalletConverter.fromRequest(client, interceptedRequest); final com.google.common.base.Function< javax.ws.rs.core.Response, GenerateAutonomousDatabaseWalletResponse> transformer = GenerateAutonomousDatabaseWalletConverter.fromResponse(); com.oracle.bmc.responses.AsyncHandler< GenerateAutonomousDatabaseWalletRequest, GenerateAutonomousDatabaseWalletResponse> handlerToUse = handler; if (handler != null && this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { handlerToUse = new com.oracle.bmc.util.internal.RefreshAuthTokenWrappingAsyncHandler< GenerateAutonomousDatabaseWalletRequest, GenerateAutonomousDatabaseWalletResponse>( (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, handler) { @Override public void retryCall() { final com.oracle.bmc.util.internal.Consumer onSuccess = new com.oracle.bmc.http.internal.SuccessConsumer<>( this, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = new com.oracle.bmc.http.internal.ErrorConsumer<>( this, interceptedRequest); client.post( ib, interceptedRequest.getGenerateAutonomousDatabaseWalletDetails(), interceptedRequest, onSuccess, onError); } }; } final com.oracle.bmc.util.internal.Consumer onSuccess = (handler == null) ? null : new com.oracle.bmc.http.internal.SuccessConsumer<>( handlerToUse, transformer, interceptedRequest); final com.oracle.bmc.util.internal.Consumer onError = (handler == null) ? null : new com.oracle.bmc.http.internal.ErrorConsumer<>( handlerToUse, interceptedRequest); java.util.concurrent.Future responseFuture = client.post( ib, interceptedRequest.getGenerateAutonomousDatabaseWalletDetails(), interceptedRequest, onSuccess, onError); if (this.authenticationDetailsProvider instanceof com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) { return new com.oracle.bmc.util.internal.RefreshAuthTokenTransformingFuture< javax.ws.rs.core.Response, GenerateAutonomousDatabaseWalletResponse>( responseFuture, transformer, (com.oracle.bmc.auth.RefreshableOnNotAuthenticatedProvider) this.authenticationDetailsProvider, new com.google.common.base.Supplier< java.util.concurrent.Future>() { @Override public java.util.concurrent.Future get() { return client.post( ib, interceptedRequest.getGenerateAutonomousDatabaseWalletDetails(), interceptedRequest, onSuccess, onError); } }); } else { return new com.oracle.bmc.util.internal.TransformingFuture<>( responseFuture, transformer); } }	long method	Long method	t	f	t			0	11206	https://github.com/oracle/oci-java-sdk/blob/76e9cecd7b309d9f12e5efe96c74167c66a98872/bmc-database/src/main/java/com/oracle/bmc/database/DatabaseAsyncClient.java/#L1700-L1793	1	5649	11206
1197	{ "output": "YES I found bad smells", "bad smells are": [ "Long Method", "Data Class" ] }	The list below presents common code smells (aka bad smells) I need to check if the Java code provided at the end of the input contains at least one of them. * Blob * Data Class * Feature Envy * Long Method Could you please identify which smells occur in the following code? However, do not describe the smells, just list them. Please start your answer with “YES I found bad smells” when you find any bad smell. Otherwise, start your answer with “NO, I did not find any bad smell”. When you start to list the detected bad smells, always put in your answer “the bad smells are:” amongst the text your answer and always separate it in this format: 1. Long method, 2.Feature envy: private EntityCollection createETStreamOnComplexProp(Edm edm, OData odata) { EntityCollection entityCollection = new EntityCollection(); Link readLink = new Link(); readLink.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink.setHref("readLink"); Entity entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("darkturquoise"))); readLink.setInlineEntity(entity); Link readLink1 = new Link(); readLink1.setRel(Constants.NS_MEDIA_READ_LINK_REL); readLink1.setHref("readLink"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("darkturquoise"))); readLink1.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", Short.MAX_VALUE)) .addProperty(createPrimitive("PropertyInt32", Integer.MAX_VALUE)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, readLink1)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, readLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); Link editLink = new Link(); editLink.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink.setHref("http://mediaserver:1234/editLink"); editLink.setMediaETag("eTag"); editLink.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyStream", createImage("royalblue"))); editLink.setInlineEntity(entity); Link editLink2 = new Link(); editLink2.setRel(Constants.NS_MEDIA_EDIT_LINK_REL); editLink2.setHref("http://mediaserver:1234/editLink"); editLink2.setMediaETag("eTag"); editLink2.setType("image/jpeg"); entity = new Entity(); entity.addProperty(createPrimitive("PropertyEntityStream", createImage("royalblue"))); editLink2.setInlineEntity(entity); entityCollection.getEntities().add(new Entity() .addProperty(createPrimitive("PropertyInt16", (short) 7)) .addProperty(createPrimitive("PropertyInt32", (Integer) 10)) .addProperty(new Property(null, "PropertyEntityStream", ValueType.PRIMITIVE, editLink2)) .addProperty(createComplex("PropertyCompWithStream", ComplexTypeProvider.nameCTWithStreamProp.getFullQualifiedNameAsString(), new Property(null, "PropertyStream", ValueType.PRIMITIVE, editLink), createComplex("PropertyComp", ComplexTypeProvider.nameCTTwoPrim.getFullQualifiedNameAsString(), createPrimitive("PropertyInt16", (short) 333), createPrimitive("PropertyString", "TEST123"))))); setEntityType(entityCollection, edm.getEntityType(EntityTypeProvider.nameETStreamOnComplexProp)); createEntityId(edm, odata, "ESStreamOnComplexProp", entityCollection); createOperations("ESStreamOnComplexProp", entityCollection, EntityTypeProvider.nameETStreamOnComplexProp); return entityCollection; }	long method	long method, data class	t	t	t	data class		0	10271	https://github.com/apache/olingo-odata4/blob/f344a3c565b6a67233de1d1169104a728136e7a3/lib/server-tecsvc/src/main/java/org/apache/olingo/server/tecsvc/data/DataCreator.java/#L158-L221	1	1197	10271

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